Literature DB >> 28623601

Is the hydrophobic core a universal structural element in proteins?

Barbara Kalinowska1,2, Mateusz Banach1,2, Zdzisław Wiśniowski1, Leszek Konieczny3, Irena Roterman4.   

Abstract

The hydrophobic core, when subjected to analysis based on the fuzzy oil drop model, appears to be a universal structural component of proteins irrespective of their secondary, supersecondary, and tertiary conformations. A study has been performed on a set of nonhomologous proteins representing a variety of CATH categories. The presence of a well-ordered hydrophobic core has been confirmed in each case, regardless of the protein's biological function, chain length or source organism. In light of fuzzy oil drop (FOD) analysis, various supersecondary forms seem to share a common structural factor in the form of a hydrophobic core, emerging either as part of the whole protein or a specific domain. The variable status of individual folds with respect to the FOD model reflects their propensity for conformational changes, frequently associated with biological function. Such flexibility is expressed as variable stability of the hydrophobic core, along with specific encoding of potential conformational changes which depend on the properties of helices and β-folds.

Entities:  

Keywords:  Hydrophobic core; Hydrophobicity; Protein folding

Mesh:

Substances:

Year:  2017        PMID: 28623601      PMCID: PMC5487895          DOI: 10.1007/s00894-017-3367-z

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


Introduction

The traditional classification of secondary and supersecondary protein structures covers helical and β-fragments along with their mutual arrangement within the protein body. This α/β classification varies with respect to the participation of both folds in proteins, as well as their orientation. Purely helical (hemoglobin, cytochrome) or purely β-shaped (immunoglobulins) structures, as well as proteins characterized by near-equal participation of both types (lactate dehydrogenase or carboxypeptidase), can be identified in protein databases (e.g., PDB). The supersecondary structure, which determines the mutual arrangement of secondary folds can be expressed as follows (the following list is derived from a commonly used biochemistry textbook [1]): βαβ – helical fragment linking two parallel β-strands β hairpin – two anti-parallel β-strands linked by a tight U-turn loop αα motif – two successive helices linked by a tight U-turn loop Greek key motif – β-strands following one another in an arrangement reminiscent of classic Greek ornaments β barrels – coaxial β-strands forming a cyclical system reminiscent to the arrangement of planks forming a wooden barrel. Attempts to introduce a detailed structural classification of domain units in large proteins have resulted in the creation of the CATH/Gene3D (http://www.cathdb.info/ 27 Apr 2016) database, which currently (as of 27 April 2016) contains 26 million domains arranged into 2738 families. Structural classification is performed automatically upon inclusion of a new protein in PDB, via an exhaustive search for proteins homologous to the new entrant [2]. It is immediately apparent that the number of distinct families is quite high, notwithstanding the overall size of the database. This suggests that protein structures are diverse and difficult to classify. The concept of biological activity likewise remains a mystery [3], despite successful attempts to program it into synthetic proteins. An in-depth analysis of the stability of the backbone and side chains facilitating stabilization of one of two possible rotametric forms, is presented in [4]. The great diversity of geometric forms makes it difficult to propose a single, common classification based on a unified criterion. This, however, does not imply that attempts to identify such a criterion are futile. Our work focuses on proteins characterized by major supersecondary variability and proposes a coherent classification, covering all cases. The starting point is to acknowledge the common environment in which all proteins undergo folding and gain biological function — water. Water is the immanent condition ensuring proper folding and biological activity. This is why the water participation and its influencing on protein structure is the basis for the fuzzy oil drop model applied to interpret the different structures of proteins. We assume that the proposed model visualizes the effects of the influence of water environment despite the lack of knowledge of its own structuralization. Our analysis of diverse structures is based on the fuzzy oil drop model and shows that both secondary and supersecondary structural motifs participate in the formation of a domain- or protein-wide hydrophobic core. In addition to enzymes (which are the most widely represented group), the work also discusses proteins capable of binding specific ligands (cytochrome) as well as antigen-binding proteins (immunoglobulin). We establish that each of the presented molecules (or domains) contains a “seed” (of variable size) representing its hydrophobic core, which, according to textbook knowledge, is responsible for tertiary structural stabilization. As shown in our other papers, local deviations from the “idealized” hydrophobic core structure (i.e., high hydrophobicity density in the central part of the protein body and low hydrophobicity density on the surface) are often linked to the protein’s biological activity. The presence of cavities or exposure of hydrophobic residues on the surface creates suitable conditions for ligand binding and protein complexation respectively. Eliminating such discrepancies from analysis of the hydrophobic core structure invariably leads to identification of parts of the molecule for which the idealized distribution of hydrophobicity closely corresponds to observed values. Such parts are thought to mediate structural stabilization of the protein (or domain) as a whole [5-9]. In this work we show that, regardless of secondary and supersecondary conformational properties, the presence of a more or less prominent hydrophobic core is a common phenomenon. We identify proteins where the core is highly consistent with theoretical values (3D Gaussian) as well as those which exhibit local deviations from the theoretical model, typically associated with the capability to bind ligands or attract complexation partners. The study set is very diverse, yet exhibits common characteristics which point to the necessary presence of water in their environment — this applies to many different molecules encountered in the cell, but particularly to proteins. Restricting protein structure analysis to topological aspects would disregard the most important factor — the influence of the water environment, which plays an active and often decisive role in the folding process. Hence, our study of the hydrophobic core — a product of the environment, which determines the biological activity of proteins. Water environment is treated as the external force field which together with the internal force field (non-bonding interaction) participates in structuralization process and ensures the biological activity. The presented paper is an attempt to show the possible interpretation of structural effects which may express the role of water.

Materials and methods

Protein database

Our analysis is based on a set of proteins derived from a popular biochemistry textbook [1]. Table 1 reveals the structural variability observed at the supersecondary level.
Table 1

Summary of proteins subjected to analysis

ProteinNameSourceClassRef.
α/β-domain fold twisted β-sheet
1A5ZLactate dehydrogenaseBacteriaαβ complex(Auerbach et al. [10])
1FW8Phosphoglycerate kinaseYeastα/β 3-layer (aba)(Tougard et al. [11])
α,β-domain fold
1AMKTriose phosphate isomeraseBacteriaα β barrel(Williams et al. [12])
4DRSPyruvate kinaseBacteriaα/β 3-layer (aba)α/β barrel mainly β barrel(Cook et al. [13])
All β-domain super-fold
1B4LSuperoxide dismutaseYeastMainly β sandwich(Hart et al. [14])
1CONConcanavalinPlantMainly β sandwich(Naismith et al. [15])
β-barrel
1RBPRetinol bindingHumanMainly β barrel(Cowan et al. [16])
1PNGAspargine amidaseBacteriaMainly β sandwich(Kuhn et al. [17])
1TIMTriose phosphatase isomeraseChickenα β barrel(Banner et al. [18])
Miscellaneous
256BCytochromeE-coliα Up-down bundle(Lederer et al. [19])
7FABImmunoglobulinHumanMainly β sandwich(Saul and Poljak [20])
6LDHLactate dehydrogenaseBacteriaα β complex(Abad-Zapatero et al. [21])
Cytochrome fold
155CCytochromeBacteriaα orthogonal bundle(Timkovich and Dickerson [22])
1JDLCytochromeBacteriaα orthogonal bundle(Camara-Artigas et al. [23])
2C2CCytochromeBacteriaα orthogonal bundle(Bhatia –PDB [24])
5CYTCytochromeFishα orthogonal bundle(Takano [25])
4 J20CytochromeBacteriaα orthogonal bundle(Yu et al. [26])

The selection is based on supersecondary structural order. The study set is consistent with the one proposed in (Devlin 2011).

Summary of proteins subjected to analysis The selection is based on supersecondary structural order. The study set is consistent with the one proposed in (Devlin 2011).

The fuzzy oil drop model

An in-depth presentation of the fuzzy oil drop model can be found in an Open Access publication [27, 28]. In the interest of saving space, we will limit ourselves to recapitulating its basic tenets. The fuzzy oil drop model is a modification of the oil drop model originally introduced by Kauzmann [29]. The original model was discrete, distinguishing a central hydrophobic part and an outer hydrophilic shell. In contrast, the fuzzy oil drop model introduces a 3D Gaussian which peaks at the center of the encapsulating ellipsoid, with values decreasing along with distance from the center, reaching near 0 at a distance of 3σ (where σ is a parameter of the Gaussian expressing the size of the ellipsoid). Distribution along each axis can be characterized by an appropriate sigma parameter. The values of such a function are assumed to represent theoretical (idealized) distribution of hydrophobicity in a protein molecule. The actual (observed) hydrophobicity distribution depends on the location of each residue in the protein body (in our calculations we apply the function proposed by Levitt [30]). Each residue (represented by its effective atom — averaged-out positions of all atoms belonging to a particular residue) aggregates hydrophobic interactions with other residues separated from it by not more than 9 Å. Clearly, the observed distribution may differ from the idealized (Gaussian) profile. The scope of such interactions is dependent on the relative proximity between both residues and on their intrinsic hydrophobicity, which can be measured experimentally or predicted on theoretical grounds. Different hydrophobicity scales can be applied (a comparison of results obtained for two different scales is presented in [31]). Normalization of both distributions (theoretical and observed) facilitates meaningful comparisons: in particular, we can identify residues for which theoretical (T) values diverge significantly from their observed (O) counterparts. Both hydrophobicity distribution profiles — expected (T) and observed (O) — can be compared quantitatively. Quantitative expression of the differences between the expected (T) and observed (O) distribution is possible by using the Kullback-Leibler divergence entropy formula [32]: The value of D expresses the distance between the observed (p) and target (p ) distributions, the latter of which is given by the 3D Gaussian (T). The observed distribution (p) is referred to as O. For the sake of simplicity, we introduce the following notation: Since D is a measure of entropy it must be compared to a reference value. In order to facilitate meaningful comparisons, we have introduced another opposite boundary distribution (referred to as “uniform” or R) which corresponds to a situation where each effective atom possesses the same hydrophobicity density (1/N, where N is the number of residues in the chain). This distribution is deprived of any form of hydrophobicity concentration at any point in the protein body: Comparing O|T and O|R tells us whether the given protein (O) more closely approximates the theoretical (T) or uniform (R) distribution. Proteins for which O|T > O|R are regarded as lacking a prominent hydrophobic core. To further simplify matters we introduce the following relative distance (RD) criterion: RD < 0.5 is understood to indicate the presence of a hydrophobic core. Figure 1 presents a graphical representation of RD values, restricted (for simplicity) to a single dimension.
Fig. 1

Graphical representation of fuzzy oil drop model hydrophobicity distributions obtained for a hypothetical protein reduced to a single dimension for simplicity. A is the theorized Gaussian distribution (blue) while chart C corresponds to the uniform distribution (green). Actually observed (red) hydrophobicity density distribution in the target protein B, while its corresponding value of RD (relative distance) in D is marked on the horizontal axis with a red diamond. According to the fuzzy oil drop model this protein does not contain a well-defined hydrophobic core, because its RD value, equal to 0.619, is above the 0.5 threshold (or, generally, closer to R than to T)

Graphical representation of fuzzy oil drop model hydrophobicity distributions obtained for a hypothetical protein reduced to a single dimension for simplicity. A is the theorized Gaussian distribution (blue) while chart C corresponds to the uniform distribution (green). Actually observed (red) hydrophobicity density distribution in the target protein B, while its corresponding value of RD (relative distance) in D is marked on the horizontal axis with a red diamond. According to the fuzzy oil drop model this protein does not contain a well-defined hydrophobic core, because its RD value, equal to 0.619, is above the 0.5 threshold (or, generally, closer to R than to T) D (as well as O|T, O|R and RD) may be calculated for specific structural units (protein complex, single molecule, single chain, selected domain etc.) In such cases the bounding ellipsoid is restricted to the selected fragment of the protein. It is also possible to determine the status of polypeptide chain fragments within the context of a given ellipsoid. This procedure requires prior normalization of O and R distributions describing the analyzed fragment, whose length is denoted as N. Note that any selected fragment must be of a reasonable length — calculations cannot be performed for an individual residue. Generally the idealized distribution (T) is treated as the target for O|T calculation, while the unified distribution (R) is used when computing O|R. The above procedure will be applied in the analysis of proteins described in this paper. By restricting our analysis to individual fragments, we can determine whether a given fragment participates in the formation of a hydrophobic core. In particular, fragments representing well-defined secondary folds which satisfy RD < 0.5 are thought to contribute to structural stabilization, while fragments for which RD > = 0.5 are less stable. Such fragments, if present on the surface of the protein, may potentially form complexation sites. Specific fragments are derived by analyzing the protein’s secondary conformation. Identification of secondary folds and the composition of protein domains follows the CATH [33] and PDBsum [34] classifications. Likewise, inter-domain/inter-chain contacts have been identified on the basis of the PDBsum distance criteria [34]. A graphical presentation of RD interpretation is shown in Fig. 1.

Results

α/β-domain fold twisted β-sheet

This category is represented by the nonhomologous domain 1 of lactate dehydrogenase (1A5Z – domain 1) and phosphoglycerate kinase (1FW8 – domain 2). The α,β-superfold can be described as a central twisted β-sheet surrounded by a ring of helices. RD values for both domains and their individual secondary folds are listed in Table 2.
Table 2

Structural properties of the hydrophobic core in two proteins representing the α/β-domain fold twisted β-sheet category

Lactate dehydrogenase (1A5Z-D1) 3.40.50.720 α-β 3-layer (aba) sandwichPhosphoglycerate kinase (1FW8-D2) 3.40.50.1260 α-β 3-layer (aba) sandwich
StructureFragmentRDStructureFragmentRD
Domain 10.416 Domain 2 0.523
β-sheetParallel0.298β-sheet I and II 0.516
Helices 0.530 Helices 0.502
HelicesNo 68–84No ligand binding res.0.449β-sheet IParallel0.492
β-conform.22–280.198β-conform.133–1400.393
47–520.259158–1630.127
77–830.331205–2070.145
92–970.180 210–216 0.706
134–1380.243223–2290.455
159–1630.307 238–242 0.763
258–2630.426
Helices30–440.498294–2980.144
55–70 0.589
71–73 0.980 Helices146–1550.353
84–890.366166–1750.244
108–1310.444185–2020.347
141–1540.365243–2570.358
271–2750.363
276–291 0.721
300–3090.378
311–3150.228
Domain 2No β-II0.492
β-sheet I No 294–298No ligand binding0.320
β-sheet II Anti-parallel 0.625
HelicesNo 287–301No ligand binding0.455

Values listed in boldface correspond to RD > 0.5. Items labeled “No (…)” represent shortened fragments where elimination of the indicated residues changes the relation to RD < 0.5. “Ligand binding” stands for fragments directly involved in ligand binding. Our experience with the fuzzy oil drop model indicates that such fragments often exhibit significant deviations from the theoretical hydrophobicity distribution.

Structural properties of the hydrophobic core in two proteins representing the α/β-domain fold twisted β-sheet category Values listed in boldface correspond to RD > 0.5. Items labeled “No (…)” represent shortened fragments where elimination of the indicated residues changes the relation to RD < 0.5. “Ligand binding” stands for fragments directly involved in ligand binding. Our experience with the fuzzy oil drop model indicates that such fragments often exhibit significant deviations from the theoretical hydrophobicity distribution. From the structural point of view both proteins provide examples of the so-called flavodoxin fold [35] with a centrally located β-propeller. Domain D1 (1A5Z) appears to include a well-ordered hydrophobic core while domain D2 (1FW8) lacks such a core, as indicated by its RD value, which is in excess of 0.5 (Table 2). It moreover turns out that the extra β-sheet (comprising three separate folds), which is not present in 1A5Z, diverges from the idealized distribution (Fig. 2). Eliminating this fragment from computations (an independent “droplike” capsule constructed for the remainder of the domain) produces a structure which is a good match for the theoretical model. Both domains exhibit similar properties in the scope of their central β-sheet, suggesting that the sheet contributes to structural stabilization (this is based on the assumption that the presence of a prominent hydrophobic core promotes tertiary stabilization). Both domains also contain a single helix (located at a similar distance from the propeller) which diverges from the model (Fig. 3 and Table 2).
Fig. 2

3D representation of 1A5Z-D1 (A) and 1FW8-D2 (B). Fragments marked in red diverge from the theoretical model (RD > 0.5)

Fig. 3

Hydrophobicity density distribution profiles (T – theoretical – green; O – observed – red) in 1A5Z-D1 and 1FW8-D2 (charts A and B respectively). Gray areas mark fragments where RD > 0.5

3D representation of 1A5Z-D1 (A) and 1FW8-D2 (B). Fragments marked in red diverge from the theoretical model (RD > 0.5) Hydrophobicity density distribution profiles (T – theoretical – green; O – observed – red) in 1A5Z-D1 and 1FW8-D2 (charts A and B respectively). Gray areas mark fragments where RD > 0.5 Lactate dehydrogenase (1A5Z) is derived from the hyperthermophilic bacterium Thermotoga maritima and folds near the boiling point of water. Thermostable proteins are the focus of a separate study based on the fuzzy oil drop model (publication currently in preparation). The catalytic residues in 1A5Z, as well as its disulfide bonds, are all located in domain 2 — thus, we will not consider them in the presented analysis. Domain 2 of phospoglycerate kinase (1FW8-D2) exhibits RD > 0.5, which means that its hydrophobic core is deformed. The domain contains two β-sheets — a parallel sheet (labeled “I” in Table 2–133-140, 158–163, 205–207, 258–263, 294–298) and an antiparallel sheet (labeled “II” – 210, 223–229, 238–242). Such antiparallel conformation is not present in lactate dehydrogenase (1A5Z-D1). The β-structure which is analogous to 1A5Z is characterized by RD = 0.492, which implies local consistency with the theoretical hydrophobic core model. As posited by the fuzzy oil drop model, ligand binding residues exhibit deviations from the theoretical status; this is because such residues interact with the ligand, which also participates in the formation of a shared core. In the case of strongly polar ligands, deviations may also be associated with the presence of additional structural elements not directly involved in forming the hydrophobic core, but instead distorting its structure. In both presented proteins eliminating residues which participate in ligand binding results in a lower RD value. This means that the remainder of the molecule fulfills a stabilizing role by presenting a well-ordered hydrophobic core. The exposed β-hairpin in D2 of 1FW8 may mediate interaction with other molecules present in the protein’s environment, or it may constitute a dynamic and unstable element (no prominent hydrophobic core) which also potentially affects interaction. It furthermore appears that the α,β-superfold — particularly the twisted β-sheet — contains a hydrophobic core and therefore improves the stability of its parent domain.

α,β-domain fold

The all-β-sheet superfold is represented by Cu, Zn superoxidase dismutase and concanavalin A. This type of all-β domain has the shape of a β-barrel. Both proteins appear to contain hydrophobic cores (RD < 0.5 in each case). In 1B4L enzymatic and heavy metal ion binding residues are all located in loops. Table 3 lists positions adjacent to each fragment. The helical fold at 57–61 is locally discordant and contains a catalytic residue which binds Cu2+. Similarly, in 1CON the cadmium ion (Cd2+) is bound by a locally discordant β-fragment.
Table 3

RD values obtained for 1B4L and 1CON, for their respective secondary folds, for the entire β-sheet and for the fragment bounded by CYS residues which form a disulfide bond

Cu, Zn superoxide dismutase (1B4L) 2.60.40.200 – mainly β-sandwichConcanavalin A (1CON) 2.60.120.200 – mainly β-sandwich
CharacteristicsFragmentRDCharacteristicsFragmentRD
Protein153aa0.433Protein237aa0.416
1–7 BI0.065I3–11 B0.407
14–21 BI0.403I14–18 H0.421
28–35 BI0.46823–30 B0.355
I41–48 BII0.24636–40 B0.295
E 63H, I 57–61 H 0.724 46–56 B0.333
I82–89 BII0.43359–66 B0.338
95–101 BI0.34373–79 B0.335
I115–120 BII0.25780–84 H0.218
131–135 H0.349I87–97 B0.330
E 143R145–148 BII0.317 103–118 B 0.601
122–130 B0.135
139–145 B0.438
147–149 B 0.851
150–152 H0.365
153–156 B0.384
169–176 B0.336
179–181 B 0.643
I 185–200 B 0.762
208–217 B0.337
226–230 H0.324
β-sheet0.409β-sheet0.468
β -sheet I0.368Helices0.446
β -sheet II0.432
SS-bond57–1460.431

Values listed in boldface satisfy RD > 0.5. “B” and “H” stand for β-structural and helical forms respectively; “I” indicates an ion-binding fragment while “E” denotes that the given fragment contains an enzymatically active residue (listing its number and type).

RD values obtained for 1B4L and 1CON, for their respective secondary folds, for the entire β-sheet and for the fragment bounded by CYS residues which form a disulfide bond Values listed in boldface satisfy RD > 0.5. “B” and “H” stand for β-structural and helical forms respectively; “I” indicates an ion-binding fragment while “E” denotes that the given fragment contains an enzymatically active residue (listing its number and type). Cu, Zn superoxide dismutase adheres to the theoretical hydrophobicity distribution model as a whole, although some secondary folds diverge from the model. The helical fragment at 57–61 is an example (RD > 0.5). Similarly, in 1CON, despite the overall adherence of the molecule and its β-sheet, four individual β-folds are found to be discordant. Both proteins (Fig. 4 and Fig. 5) exhibit highly ordered hydrophobic cores in spite of their biological diversity. Note that under the fuzzy oil drop model the concept of a “hydrophobic core” refers to a concentration of hydrophobicity density at the center of the molecule along with the presence of an encapsulating hydrophilic shell.
Fig. 4

3D structures of 1B4L and 1CON, with fragments exhibiting high discordance (RD > 0.5) marked in red (Table 3). Spheres correspond to ion binding residues

Fig. 5

Hydrophobicity distribution charts for 1B4L (A) and 1CON (B). Gray bands mark divergent fragments

3D structures of 1B4L and 1CON, with fragments exhibiting high discordance (RD > 0.5) marked in red (Table 3). Spheres correspond to ion binding residues Hydrophobicity distribution charts for 1B4L (A) and 1CON (B). Gray bands mark divergent fragments

All β-domain superfold

This category is represented by triose phosphate isomerase and pyruvate kinase domain 1. The core structure comprises a centrally located β-barrel where individual β-folds are interconnected by α-helices located outside of the fold. The sample proteins differ with respect to their composition and biological activity. Elimination of catalytic residues (Table 4, Fig. 6, and Fig. 7) lowers the RD value to 0.479. This indicates local disorder in the area of the enzymatic active site.
Table 4

RD values obtained for 1AMK and 4DRS and for their respective secondary folds

Triose phosphate isomerase (1AMK) 1AMK – E.C.5.3.1.1Pyruvate kinase – domain 2 (4DRS) E.C.2.7.1.40 – absent in domain 2
FragmentCharacteristicsRDFragmentCharacteristicsRD
Protein 250 0.506 Protein 248 0.559
6–12 BE 11 N, 13 K,0.40147–52 B0.330
17–30 H0.40253–57 H0.278
38–42 B0.45258–69 H0.475
44–47 H 0.747 71–77 B0.497
48–55 H0.33681–98 H0.432
59–63 B0.263 105–110 B 0.580
79–86 H0.330214–224 H0.404
89–93 B0.148231–235 B0.378
95–102 H E 95H 0.634 240–253 H0.387
105–119 H0.366266–271 B0.477
122–127 B0.321 273–279 H 0.551
130–136 H 0.541 280–287 H0.329
138–152 H0.364289–294 B0.390
153–154 H0.319 296–301 H 0.647
155–160 H0.340 302–305 H 0.534
161–167 BE 167E0.317 306–321 H 0.569
168–172 H 0.571 323–327 B0.395
179–198 HE 173G0.423331–336 H0.440
199–206 H 0.654 341–355 H0.418
207–212 B 0.542 357–361 B0.306
218–224 H0.382 362–367 H 0.603
229–233 B 0.524 370–387 H 0.553
234–239 H0.222
240–241 H 0.600
242–248 H0.160
Β-sheetβ-sheet0.429
HelicesHelices0.482
Eliminated95–100,198–2030.479No ligand0.546
No ligand0.498No residues74–80 L, 229–236 L, 259–262, 264–272 L, 293–296, 319–321 L0.486
NoE11,13,95,167,1730.500

Values listed in boldface satisfy RD > 0.5. “B” and “H” stand for β- and helical forms respectively; “L” indicates a ligand-binding fragment while “E” denotes that the given fragment contains an enzymatically active residue (listing its number and type). The row labeled “NoE” represents the status of each domain following elimination of catalytic residues — the observed reduction in RD values indicates that catalytic residues diverge from the theoretical model.

Fig. 6

Hydrophobicity distribution profiles (theoretical – blue and observed – red) for 1AMK (A) with indication of eliminated fragments, along with 4DRS (B) with indication of eliminated fragments (blue) and the placement of ligand binding residues (green)

Fig. 7

3D presentation of 1AMK (A – catalytic residues visualized with CPK; fragments exhibiting RD > 0.5 marked in red) and 4DRS (B – ligand-binding residues colored with CPK; eliminated residues colored pink; fragments exhibiting RD > 0.5 marked in red)

RD values obtained for 1AMK and 4DRS and for their respective secondary folds Values listed in boldface satisfy RD > 0.5. “B” and “H” stand for β- and helical forms respectively; “L” indicates a ligand-binding fragment while “E” denotes that the given fragment contains an enzymatically active residue (listing its number and type). The row labeled “NoE” represents the status of each domain following elimination of catalytic residues — the observed reduction in RD values indicates that catalytic residues diverge from the theoretical model. Hydrophobicity distribution profiles (theoretical – blue and observed – red) for 1AMK (A) with indication of eliminated fragments, along with 4DRS (B) with indication of eliminated fragments (blue) and the placement of ligand binding residues (green) 3D presentation of 1AMK (A – catalytic residues visualized with CPK; fragments exhibiting RD > 0.5 marked in red) and 4DRS (B – ligand-binding residues colored with CPK; eliminated residues colored pink; fragments exhibiting RD > 0.5 marked in red) Local deviations from the theoretical model caused by a ligand are commonplace. The ligand — by virtue of its presence — enforces a conformation which represents a balance between the protein’s own folding tendencies and the altered conditions introduced by the ligand’s polarized atoms. The end result of this process depends strongly on the ligand’s hydrophobicity [36]. Residues which diverge from the model, despite not taking part in ligand binding, may represent structurally encoded “readiness” for structural changes in the α/β domain. Despite the observed differences, both domains share certain similarities. The helical fold at 95–100 in 1AMK exhibits a similar deviation from theoretical values when compared with the folds at 319–321 and 362–364 in 4DRS D2. It seems that local instability in all these areas may promote structural rearrangement.

β-barrel

Three proteins representative of the β-barrel domain are characterized in Table 5 and Fig. 8.
Table 5

RD values representing individual secondary folds in 1RBP, 1PNG, and 1TIM

1RBP Up-and-down β barrel 2.40.128.20 – Mainly ββ-barrel Plasma retinol-binding protein precursor1PNG Jelly roll EC 3.5.1.52 2.60.120.230 – Mainly ββ-sandwich Hydrolase1TIM α/β barrel EC 5.3.1.1. 3.20.20.70 Αβ-Barrel isomerase
FragmentRDFragmentRDFragmentRD
Protein 175aa 0.553 Domain 2 135aa 0.694 Domain 247 aa0.493
142–151 BI 0.771 6–12 B E 11 N0.435
154–158 H0.47217–31 H0.293
159–161 BI0.47438–42 B0.434
5–9 H0.332 162–168 L 0.605 46–55 H0.223
22–30 B 0.567 169–175 BII 0.610 58–65 B 0.510
39–48 B0.431176–180 L0.42779–87 H0.418
52–63 B0.406 181–198 BI 0.688 90–93 B 0.590
67–80 B0.478 199–201 L 0.560 95–103 HE 95H 0.617
84–93 B 0.589 202–206 BI0.187105–119 H0.361
100–110 B 0.506 207–209 L0.415123–129 B0.141
113–124 B 0.801 210–217 BII0.436 130–137 H 0.725
128–139 B 0.787 219–226 BII 0.649 138–154 H 0.527
145–159 H 0.501 227–229 L 0.511 159-167B E 165E0.431
166–168 B0.404230–234 H0.209 168–170 H 0.670
235–259 L 0.654 177–197 H 0.551
260–264 BI 0.832 198–204 H 0.590
265–269 H0.381205–209 B0.387
271–278 BII 0.742 215–222 H0.337
279–289 L 0.800 227–231 B0.476
290–303 BI 0.739 232–237 H0.221
304–310 L 0.578 238–245 H0.291
311–313 BII 0.508
β-sheet 0.615 β - I 0.688 β-sheet0.438
Helices 0.522 β - II 0.643 Helices 0.510
SS 4–160 0.566 SS 51–560.195
SS 70–174 0.582 SS 203–208 0.680
SS 231–2520.483
Removed:29–31,69–71 SS, 91–97 Loop, 117,127–130 SS, 133–134 L0.467NoE0.478

Values listed in boldface satisfy RD > 0.5. H – helix; B – β-fold; E # – placement of catalytic residue (with # corresponding to its code); L – ligand present as part of the described fragment

Fig. 8

3D presentation of 1RBP (A), 1PNG (B), and 1TIM (C) with discordant fragments marked in red. Residues plotted with CPK represent catalytic residues

RD values representing individual secondary folds in 1RBP, 1PNG, and 1TIM Values listed in boldface satisfy RD > 0.5. H – helix; B – β-fold; E # – placement of catalytic residue (with # corresponding to its code); L – ligand present as part of the described fragment 3D presentation of 1RBP (A), 1PNG (B), and 1TIM (C) with discordant fragments marked in red. Residues plotted with CPK represent catalytic residues Each of the above listed proteins represents a different type of β-barrel. The assessment of hydrophobic core structure is, likewise, different in each case. It should be noted that the protein exists to fulfill a specific biological role and that its structure is a means to this end. 1RBP is a retinol binding protein. The presented domain contains three disulfide bonds which promote tertiary structural stability. Two of these bonds stabilize the domain in a “discordant” state, which is very likely their principal role. In order to facilitate comparisons with other types of β-dominated supersecondary structures, we have included triole phosphate isomerase (1TIM) in our study. The corresponding form is an α/β barrel consisting of eight pairs of alternating β-strands and α-helices rolled up to form an inner barrel of eight parallel β-strands surrounded by an outer barrel of eight parallel helices. Analysis based on the fuzzy oil drop model indicates the presence of a well ordered hydrophobic core. Stabilization is provided by the arrangement of β-folds (RD = 0.493), while catalytic residues deform the domain (their elimination results in RD = 0.478). Discordant helixes include the fragments at 95–103 (RD = 0.617), 130–137 (RD = 0.725), 138–154 (RD = 0.527), 168–170 (RD = 0.671), 177–197 (RD = 0.551), 198–204 (RD = 0.590). Catalytic residues are located in direct proximity to the active site. Experience with the fuzzy oil drop model indicates that enzymatic active sites are, in most cases, deficient in terms of hydrophobicity and diverge significantly from theoretical values. In the presented cases catalytic residues belong to the helices at 95–103, 168–170, 177–197, and 198–204, with RD values in excess of 0.5 in all cases.

Miscellaneous

The arrangement of helical and β-folds in higher-order structures varies greatly both with respect to the quantity of each and their conformation. An example of a purely α protein is provided by the b562 cytochrome (1APT) from E. coli. Topologically, this protein is a sequence of antiparallel helical fragments described as an up-down-up-down 4-helix bundle. In contrast, the Fab IgG immunoglobulin domain (7FAB) is comprised almost entirely of β-folds, with its structure characterized as a sandwich of 3- and 4-stranded antiparallel β-sheets. A combination of helical and β-motifs is found in the 163-residual domain of dogfish lactate dehydrogenase (6LDH), which contains a 6-stranded parallel β-sheet with crossovers between β-strands and α-helices forming a right-handed helical turn with flanking β-strands. The cytochrome is characterized by RD = 0.426, suggesting the presence of a well-ordered hydrophobic core. All its helical fragments also satisfy RD < 0.5 (3–20: RD = 0.355; 23–43: RD = 0.481; 45–49: RD = 0.342; 57–81: RD = 0.402; 82–94: RD = 0.408). It seems that this protein depends strongly on the stabilizing influence of hydrophobic interactions. Given that the protein’s biological role is to bind heme, its structure provides suitable conditions for firm anchoring of the ligand at its center, with the polypeptide chain forming an “envelope” around the heme molecule.

7FAB

The Fab IgG domain fragment consists of two chains: the light chain (L) and the heavy chain (H), each of which is further composed of two domains (labeled V and C). All these structures exhibit a similar conformation, often referred to as an immunoglobulin-like domain: a sandwich comprising two β-sheets which we will refer to as the upper core and lower core respectively. Under the CATH classification the Fab fragment is characterized as 2.60.40.10 mainly β-sandwich. Both cores are linked by a centrally placed disulfide bond. The biological role of the Fab fragment is to recognize antigens via so-called CDRs — short variable loops which interact with the antigen, triggering a process called immunological signal transduction. This produces structural changes in the Fc fragment of immunoglobulin, priming it for complexation of the C1q complement, which is a first step in a cascade of reactions resulting in destruction of the cell which originally presented the antigen. The role of the Fab fragment is therefore to bind the antigen and trigger a signaling pathway. Both processes require a flexible structure, capable of accommodating the antigen and producing structural changes elsewhere in the molecule. The flexibility must, however, remain selective so as to ensure that the correct ligand is recognized and the correct signal sent. This situation is evidenced by the RD status of individual β-folds in all four domains: VH, CH1, VL, and CL (see Table 6 and Fig. 9).
Table 6

RD values calculated for ragmentdomains of the Fab fragment of immunoglobulin G, revealing variable stability of individual secondary folds

Chain LChain H
Domain VLDomain CLDomain VHDomain CH1
FragmentRDFragmentRDFragmentRDFragmentRD
Domain 0.584 Domain0.320 Domain 0.601 DOMAIN 0.538
8–12 BI 0.584 110–114 BI0.073 3–7 BI 0.583 124–128 BI0.293
18–24 BII 0.649 117–123 H0.388 10–12 BII 0.673 140–149 BI0.424
28–32 H 0.629 126–135 BI0.254 18–25 BI 0.682 155–159 BII0.294
36–40 BI0.437 141–147 BII 0.554 33–39 BII 0.528 160–162 H 0.670
47–49 BI0.281 149–151 BII 0.545 46–52 BII 0.551 166–170 BI 0.808
56–62 BII0.369 154–158 BI 0.525 56–60 BII 0.702 173–175 BI 0.766
64–71 BII 0.703 161–163 BI0.08362–64 H0.002 179–188 BI 0.878
74–78 H 0.675 167–176 BI 0.555 66–72 BI0.330 189–193 H 0.556
79–87 BI0.468177–183 H0.35376–83 BI0.358198–204 BII0.283
90–94 BI0.358186–193 BII0.394 86–90 H 0.874 205–208 H0.492
97–102 BI0.710 196–202 BII 0.543 91–99 BII 0.665 209–215 BII0.367
103–108 BII 0.576
111–116 BII 0.689
SS 22–86 0.600 SS 130–1890.332 SS 22–95 0.568 SS 144–200 0.638
B - I 0.613 B - I0.331B - I0.481 B - I 0.648
B - II0.477B - II0.482 B - II 0.703 B - II0.242

Values listed in boldface satisfy RD > 0.5.

Fig. 9

3D representation of 7FAB immunoglobulin domains: VL (A), CL (B), VH (C), and CH (D). Fragments marked in red satisfy RD > 0.5

RD values calculated for ragmentdomains of the Fab fragment of immunoglobulin G, revealing variable stability of individual secondary folds Values listed in boldface satisfy RD > 0.5. 3D representation of 7FAB immunoglobulin domains: VL (A), CL (B), VH (C), and CH (D). Fragments marked in red satisfy RD > 0.5 The variable status of individual secondary folds comprising Fab domains suggests local instabilities required for complexation of antigens. One of the domains (CL) is stable as a whole and includes a stable β-I sheet, while all other domains are characterized as relatively unstable and therefore flexible. The stabilizing influence of SS bonds likewise varies: only in the CL domain does the affected fragment remain consistent with theoretical predictions. Immunoglobulins work in an unpredictable environment — the antigen is never known a priori. Thus, a system characterized by variable local stability creates suitable conditions for targeted signaling while preserving the immunoglobulins ability to interact with a variety of antigens. A review of immunoglobulin-like domains (which includes domains not associated with immunoglobulin activity, including enzymes and structural proteins) can be found in [8]. The authors reveal a specific arrangement of accordant and discordant fragments comprising the domain, which predispose it toward specific structural changes. Overall, the domain is characterized by poor stability, evidenced by locally high RD values. The dogfish lactate dehydrogenase N-terminal 163-aa fragment is an example of a 6-strand parallel β-structure linked by a right-handed helical turn. The domain as a whole is characterized by RD = 0.489, while elimination of its N-terminal fragment (1–19 aa), which significantly disrupts the globular form, further reduces RD to 0.428. Evidently, the domain contains a prominent hydrophobic core. Table 7 lists the RD status of its individual folds (compare also Fig. 10 and Fig. 11).
Table 7

RD values calculated for the N-terminal domain of dogfish lactate dehydrogenase (6LDH)

6LDH
FragmentRD
Domain 20–1620.428
21–27 B0.146
29–41 H0.241
47–52 B0.293
54–68 H 0.525
76–80 B0.337
82–87 H0.447*
90–95 B0.214
105–128 H0.447
132–136 B 0.559
139–152 H0.349
157–161 B0.332
β-sheet0.366
HELICES0.396

Values listed in boldface satisfy RD > 0.5. The asterisk marks the right-handed helical fold which causes β-strand flanking

Fig. 10

N-terminal domain of dogfish lactate dehydrogenase (6LDH) – theoretical (T – blue) and observed (O – red) distributions indicating the presence of a prominent hydrophobic core

Fig. 11

3D representation of the N-terminal domain (20–162) of 6LDH. Fragments marked in red exhibit RD > 0.5 while the fragment marked in green corresponds to the right-handed helical fold causing β-strand flanking

RD values calculated for the N-terminal domain of dogfish lactate dehydrogenase (6LDH) Values listed in boldface satisfy RD > 0.5. The asterisk marks the right-handed helical fold which causes β-strand flanking N-terminal domain of dogfish lactate dehydrogenase (6LDH) – theoretical (T – blue) and observed (O – red) distributions indicating the presence of a prominent hydrophobic core 3D representation of the N-terminal domain (20–162) of 6LDH. Fragments marked in red exhibit RD > 0.5 while the fragment marked in green corresponds to the right-handed helical fold causing β-strand flanking

Cytochrome fold

The author of [1] also addresses the concept of protein families, with cytochromes discussed as a representative example. This family comprises both eukaryotic cytochromes and c-type cytochromes present in prokaryotes. Both fulfill a similar biological role, acting as electron carriers. Cytochromes derived from various organisms are sequentially dissimilar despite retaining similar 3D forms. The conclusion presented in [1] is that evolution preserves the structural and functional properties of proteins rather than their sequential arrangement. We further propose that the subject of evolutionary conservation is the structure of the proteins hydrophobic core — as we attempt to substantiate in this part. Table 8 and Table 9 present the properties of cytochromes under consideration. The FOD status of the entire molecule appears preserved despite differences in chain length (88–135 aa) along with the placement and conformation of individual secondary folds. “No ligand” indicates parts of the molecule which do not contact the ligand. Evidently, such fragments are also characterized by consistent RD values.
Table 8

RD values calculated for cytochromes c550 and c555

4 J20 Cytochrome c555 Chlorobium tepidum 1.10.760.10 mainly α orthogonal bundle155C Cytochrome c550 Paracoccus 1.10.760.10 mainly α orthogonal bundle
FragmentRDFragmentRD
Protein0.356Protein0.399
4–16 H*0.4345–13 H0.278
17–21 H*0.33614–17 L*0.368
23–27 H*0.409 18–20 B* 0.835
28–31 L*0.58521–34 L*0.370
32–41 H*0.463 35–38 B 0.661
43–54 H*0.37739–54 L*0.306
55–57 B*0.33855–65 H*0.198
60–62 B*0.45266–71 L*0.385
63–68 H* 0.595 72–81 H*0.385
72–86 H*0.11982–105*0.439
106–118 H0.277
β-strand 55–620.290 β-strand 18–38 0.554
β-strand (55–57) + (60–62)0.298 β-strand (18–20) + (35–38) 0.706
Ligand0.338Ligand0.549
No ligand0.356No ligand0.457

Values listed in boldface satisfy RD > 0.5. Asterisks mark fragments involved in interaction with the ligand. The row labeled “Ligand” corresponds to ligand-binding residues, while the row labeled “Noligand” presents residues not involved in ligand interaction.

Table 9

RD values calculated for cytochromes b562, c2 and c

256B Ecoli 1.20.120.10 mainly α up-down bundle Cytochrome b562 1JDL Rhodospirillum rubrum 1.10.760.10 α orthogonal bundle Cytochrome c2 2C2C Rhodopsin rubrum 1.10.760.10 mainly α orthogonal bundle Cytochrome c2 5CYT Thunnus alalunga 1.10.760.10 mainly α orthogonal bundle Cytochrome c
FragmentRDFragmentRDFragmentRDFragmentRD
Protein0.411Protein0.476Protein0.448Protein0.392
2–20 H0.3414–12 H0.295 3–11 H 0.503 2–14 H*0.312
22–41 H* 0.543 13–15 H*0.22912–15 H*0.35915–48 L*0.368
45–49 H*0.37116–49 L*0.40216–48 L*0.48849–54 H*0.442
55–81 H*0.424 50–59 H* 0.506 49–58 H*0.202 55–59 L* 0.643
83–92 H0.300 60–63 L* 0.777 59–62 L* 0.710 60–70 H*0.254
93–106*0.37764–72 H*0.21163–73 H*0.34571–75 H*0.296
74–86 H 0.661 74–83 H0.49376–86 L*0.442
88–93 H0.446 84–96 L* 0.561 87–102 H*0.233
94–103 L*0.48797–109 H0.192
104–116 H0.236
117–1190.146
Ligand0.225Ligand0.549Ligand0.593Ligand0.490
No ligand0.408No ligand0.457No ligand0.424No ligand0.376

Values listed in boldface satisfy RD > 0.5. Asterisks mark fragments involved in interaction with the ligand. The row labeled “Ligand” corresponds to ligand-binding residues, while the row labeled “No ligand” presents residues not involved in ligand interaction.

RD values calculated for cytochromes c550 and c555 Values listed in boldface satisfy RD > 0.5. Asterisks mark fragments involved in interaction with the ligand. The row labeled “Ligand” corresponds to ligand-binding residues, while the row labeled “Noligand” presents residues not involved in ligand interaction. RD values calculated for cytochromes b562, c2 and c Values listed in boldface satisfy RD > 0.5. Asterisks mark fragments involved in interaction with the ligand. The row labeled “Ligand” corresponds to ligand-binding residues, while the row labeled “No ligand” presents residues not involved in ligand interaction. Cytochromes are proteins which act as “envelopes” for their ligand (heme – see Fig. 12). This ligand is a large, flat molecule dominated by hydrophobic interactions. Comparative analysis of cytochromes boils down to comparing various forms of “envelopes” which create suitable conditions for maintaining the intended level of oxidation of iron ions and expose them for participation in biological processes. These forms are briefly outlined in Tables 8 and 9. The status of the fragment which does not participate in binding heme appears not to change. This is due to its primary role — structural stabilization. In contrast, heme-binding residues exhibit variable FOD status, which may be related to the process of exposing the ligand for various types of interactions.
Fig. 12

3D representation of cytochromes with fragments exhibiting RD > 0.5 marked in red: 4 J20 (A), 155C (B), 256B (C), 1JD2 (D), 2C2C (E), and 5CYT (F). Pink fragments are involved in interaction with the ligand (heme)

3D representation of cytochromes with fragments exhibiting RD > 0.5 marked in red: 4 J20 (A), 155C (B), 256B (C), 1JD2 (D), 2C2C (E), and 5CYT (F). Pink fragments are involved in interaction with the ligand (heme) The conclusions of [1] also highlight the high structural similarity of the NAD+ binding fragment in enzymes which participate in many different metabolic pathways. These proteins are more widely discussed in [8].

Discussion and conclusions

Applying the fuzzy oil drop model to structures classified using the supersecondary fold criterion reveals similar FOD characteristics, with hydrophobic cores observed either on the domain or on the protein level. A global analysis of a broad nonredundant set of proteins derived from the PDB database indicates that most domains generate prominent hydrophobic cores (RD < 0.5) [37]. It seems that, at least on the level of domains, the water environment greatly influences the folding process. It is up to each researcher to select fragments of interest, depending on the problem being studied. In our experience, fragments which diverge from theoretical predictions produced by the FOD model are typically associated with biological function. The status of particular secondary fragments in supersecondary structures may quantitatively reveal their contribution to overall supersecondary stabilization. In summary, we can state that the targeted stability required in many biological processes can be supplied by a combination of nonbinding interactions, structural stabilization mediated by hydrophobic forces, and the presence of disulfide bonds. As shown in [38], SS-bonds may either reinforce or disrupt hydrophobic core stability. The influence of the water environment on protein folding also explains the mechanism behind hydrophobic collapse, which reduces the protein’s conformational space sufficiently to enable a random search for the native fold [39]; this shows that hydrophobic collapse is sufficient to solve Levinthal’s paradox [40]. Discussions concerning the fundamental role of the hydrophobic core have a long history [41] with both experimental [42] and theoretical approaches [43]. In the context of these observations and the analysis presented in this paper we can conclude that the answer to the question posed in the title is “yes”. We can furthermore state that the fuzzy oil drop model is able to describe the hydrophobic core structure in both qualitative and quantitative terms including the substantial and specific difference of hydrophobicity distribution observed in amyloids [31].
  32 in total

1.  The backrub motion: how protein backbone shrugs when a sidechain dances.

Authors:  Ian W Davis; W Bryan Arendall; David C Richardson; Jane S Richardson
Journal:  Structure       Date:  2006-02       Impact factor: 5.006

2.  Fuzzy oil drop model to interpret the structure of antifreeze proteins and their mutants.

Authors:  Mateusz Banach; Katarzyna Prymula; Wiktor Jurkowski; Leszek Konieczny; Irena Roterman
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

Review 3.  Protein denaturation.

Authors:  C Tanford
Journal:  Adv Protein Chem       Date:  1968

4.  A structure-based mechanism for copper-zinc superoxide dismutase.

Authors:  P J Hart; M M Balbirnie; N L Ogihara; A M Nersissian; M S Weiss; J S Valentine; D Eisenberg
Journal:  Biochemistry       Date:  1999-02-16       Impact factor: 3.162

5.  Lactate dehydrogenase from the hyperthermophilic bacterium thermotoga maritima: the crystal structure at 2.1 A resolution reveals strategies for intrinsic protein stabilization.

Authors:  G Auerbach; R Ostendorp; L Prade; I Korndörfer; T Dams; R Huber; R Jaenicke
Journal:  Structure       Date:  1998-06-15       Impact factor: 5.006

6.  Crystal structure of peptide-N4-(N-acetyl-beta-D-glucosaminyl)asparagine amidase F at 2.2-A resolution.

Authors:  P Kuhn; A L Tarentino; T H Plummer; P Van Roey
Journal:  Biochemistry       Date:  1994-10-04       Impact factor: 3.162

7.  Crystal structure of Cryptosporidium parvum pyruvate kinase.

Authors:  William J Cook; Olga Senkovich; Khadijah Aleem; Debasish Chattopadhyay
Journal:  PLoS One       Date:  2012-10-09       Impact factor: 3.240

8.  New functional families (FunFams) in CATH to improve the mapping of conserved functional sites to 3D structures.

Authors:  Ian Sillitoe; Alison L Cuff; Benoit H Dessailly; Natalie L Dawson; Nicholas Furnham; David Lee; Jonathan G Lees; Tony E Lewis; Romain A Studer; Robert Rentzsch; Corin Yeats; Janet M Thornton; Christine A Orengo
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

9.  PDBsum additions.

Authors:  Tjaart A P de Beer; Karel Berka; Janet M Thornton; Roman A Laskowski
Journal:  Nucleic Acids Res       Date:  2013-10-22       Impact factor: 16.971

Review 10.  How special is the biochemical function of native proteins?

Authors:  Jeffrey Skolnick; Mu Gao; Hongyi Zhou
Journal:  F1000Res       Date:  2016-02-23
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  8 in total

Review 1.  The functions and regulation of heat shock proteins; key orchestrators of proteostasis and the heat shock response.

Authors:  Benjamin J Lang; Martin E Guerrero; Thomas L Prince; Yuka Okusha; Cristina Bonorino; Stuart K Calderwood
Journal:  Arch Toxicol       Date:  2021-05-18       Impact factor: 5.153

2.  The Structure of Amyloid Versus the Structure of Globular Proteins.

Authors:  Piotr Fabian; Mateusz Banach; Katarzyna Stapor; Leszek Konieczny; Magdalena Ptak-Kaczor; Irena Roterman
Journal:  Int J Mol Sci       Date:  2020-06-30       Impact factor: 5.923

3.  Structure of the Hydrophobic Core Determines the 3D Protein Structure-Verification by Single Mutation Proteins.

Authors:  Mateusz Banach; Piotr Fabian; Katarzyna Stapor; Leszek Konieczny; And Irena Roterman
Journal:  Biomolecules       Date:  2020-05-14

Review 4.  The Amyloid as a Ribbon-Like Micelle in Contrast to Spherical Micelles Represented by Globular Proteins.

Authors:  Mateusz Banach; Leszek Konieczny; Irena Roterman
Journal:  Molecules       Date:  2019-12-03       Impact factor: 4.411

5.  Downhill, Ultrafast and Fast Folding Proteins Revised.

Authors:  Mateusz Banach; Katarzyna Stapor; Leszek Konieczny; Piotr Fabian; Irena Roterman
Journal:  Int J Mol Sci       Date:  2020-10-15       Impact factor: 5.923

6.  Conformational changes in the catalytic region are responsible for heat-induced activation of hyperthermophilic homoserine dehydrogenase.

Authors:  Tatsuya Kubota; Erika Kurihara; Kazuya Watanabe; Kohei Ogata; Ryosuke Kaneko; Masaru Goto; Toshihisa Ohshima; Kazuaki Yoshimune
Journal:  Commun Biol       Date:  2022-07-14

7.  Filamentous Aggregates of Tau Proteins Fulfil Standard Amyloid Criteria Provided by the Fuzzy Oil Drop (FOD) Model.

Authors:  Dawid Dułak; Małgorzata Gadzała; Mateusz Banach; Magdalena Ptak; Zdzisław Wiśniowski; Leszek Konieczny; Irena Roterman
Journal:  Int J Mol Sci       Date:  2018-09-25       Impact factor: 5.923

8.  Different Synergy in Amyloids and Biologically Active Forms of Proteins.

Authors:  Piotr Fabian; Katarzyna Stapor; Mateusz Banach; Magdalena Ptak-Kaczor; Leszek Konieczny; Irena Roterman
Journal:  Int J Mol Sci       Date:  2019-09-09       Impact factor: 5.923

  8 in total

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