Maria I Freiberger1, Peter G Wolynes2, Diego U Ferreiro1, Monika Fuxreiter3,4. 1. Protein Physiology Lab, Departamento de Quimica Biologica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires-CONICET-IQUIBICEN, Buenos Aires, 1428, Argentina. 2. Center for Theoretical Biological Physics, Rice University, Houston, Texas 77005, United States. 3. Department of Biomedical Sciences, University of Padova, Padova, 35131, Italy. 4. Laboratory of Protein Dynamics, University of Debrecen, Debrecen, 4032, Hungary.
Abstract
Disordered proteins frequently serve as interaction hubs involving a constrained variety of partners. Complexes with different partners frequently exhibit distinct binding modes, involving regions that remain disordered in the bound state. While the conformational properties of disordered proteins are well-characterized in their free states, less is known about the molecular mechanisms by which specificity can be achieved not with one but with multiple partners. Using the energy landscape theory concept of protein frustration, we demonstrate that complexes of disordered proteins exhibit a high degree of local frustration, especically at the binding interface. These suboptimal interactions lead to the possibility of multiple bound substates, each displaying distinct frustration patterns, which are differently populated in complexes with different partners. These results explain how specificity of disordered proteins can be achieved without a single common bound conformation and how the confliict between different interactions can be used to control the binding to multiple partners.
Disordered proteins frequently serve as interaction hubs involving a constrained variety of partners. Complexes with different partners frequently exhibit distinct binding modes, involving regions that remain disordered in the bound state. While the conformational properties of disordered proteins are well-characterized in their free states, less is known about the molecular mechanisms by which specificity can be achieved not with one but with multiple partners. Using the energy landscape theory concept of protein frustration, we demonstrate that complexes of disordered proteins exhibit a high degree of local frustration, especically at the binding interface. These suboptimal interactions lead to the possibility of multiple bound substates, each displaying distinct frustration patterns, which are differently populated in complexes with different partners. These results explain how specificity of disordered proteins can be achieved without a single common bound conformation and how the confliict between different interactions can be used to control the binding to multiple partners.
The
discovery of disordered proteins has challenged the highly
successful structure–function paradigm of molecular biology
by raising the question of how biomolecular recognition can be achieved
without a specific well-defined tertiary structure.[1,2] Disordered
proteins often function as interaction hubs in which the binding of
multiple partners controls the specificity of signaling pathways.[3] While in the past two decades a series of experimental
and computational methods have begun to characterize the conformational
ensembles of disordered proteins in their free states,[4] their properties in the bound state are less well understood.
Disordered proteins often display different structures when they are
bound with different partners. This phenomenon is termed “fuzzy
binding”.[5] The observed binding
modes of disordered proteins range from becoming nearly fully ordered
to forming rather disordered states in the bound complex. The structures
can also change through post-translational modification or by varying
cellular conditions.[6] Fuzzy binding enables
disordered proteins to interact not with every biomolecule but specifically
only with a defined set of partners. The physical basis of this controlled
promiscuity has not yet been revealed.Disordered proteins occupy
a broad range of their energy landscapes.
It has been established that conformational ensembles of disordered
proteins are however not fully random. They rather form secondary
structure elements,[7] with many alternative
intramolecular interactions leading to numerous but somewhat structurally
distinct conformational substates in the native ensemble (Figure ). It is the entropic
penalty of folding, which is a bottleneck for the folding of disordered
proteins.
Figure 1
Schematic representation for folding and binding landscapes. When
local frustration is low, the folded proteins associate as rigid bodies.
When local frustration is high, folding is coupled to binding, templating
the folding of the disordered region. If local frustration remains
in the bound state, many conformations are still accessible leading
to fuzziness. The structures illustrate different binding modes derived
from structures of glycogen-synthase ki-nase 3 (GSK-3). The right
side (vertical) represents rigid docking, when a folded protein binds
to a folded partner, which in this case is the LRP6 peptide (orange)
(PDB: 4nm5).
The left side (vertical) represents disordered binding, when the disordered
N-terminal region of GSK3 makes transient interactions with the active
site. The different conformations are schematically represented by
colored lines. The process displayed on top (from left to right) is
the conditional folding, when the N-terminal peptide folds upon phosphorylation
and binds the active site with a well-defined conformation. This structure
(PDB: 4nm3)
superimposes well on the complex with the LRP6 peptide (PDB: 4nm5). The orange line
(top right) emphasizes that a part of the N-terminal region remains
to be disordered in the complex. The diagonal (from bottom left to
top right) represents the templated folding, when the disordered region
adopts a well-defined structure upon binding, which can be achieved
via conformational selection or induced fit. This scenario is different
from conditional folding when both ordered and disordered bound states
can be observed.
Schematic representation for folding and binding landscapes. When
local frustration is low, the folded proteins associate as rigid bodies.
When local frustration is high, folding is coupled to binding, templating
the folding of the disordered region. If local frustration remains
in the bound state, many conformations are still accessible leading
to fuzziness. The structures illustrate different binding modes derived
from structures of glycogen-synthase ki-nase 3 (GSK-3). The right
side (vertical) represents rigid docking, when a folded protein binds
to a folded partner, which in this case is the LRP6 peptide (orange)
(PDB: 4nm5).
The left side (vertical) represents disordered binding, when the disordered
N-terminal region of GSK3 makes transient interactions with the active
site. The different conformations are schematically represented by
colored lines. The process displayed on top (from left to right) is
the conditional folding, when the N-terminal peptide folds upon phosphorylation
and binds the active site with a well-defined conformation. This structure
(PDB: 4nm3)
superimposes well on the complex with the LRP6 peptide (PDB: 4nm5). The orange line
(top right) emphasizes that a part of the N-terminal region remains
to be disordered in the complex. The diagonal (from bottom left to
top right) represents the templated folding, when the disordered region
adopts a well-defined structure upon binding, which can be achieved
via conformational selection or induced fit. This scenario is different
from conditional folding when both ordered and disordered bound states
can be observed.Disordered proteins,
can undergo templated folding upon binding
with their partners, leading to a more well-defined conformation in
the bound state.[8] Templated folding can
be described by a funnel-like free energy landscape, which is made
from both intra- and intermolecular interactions, in contrast to autonomously
folding proteins, the funnel of which can be generated by intramolecular
interactions alone (Figure ). Templated folding can sometimes be described as conformational
selection,[9] when one of the conformational
substates already dominant in the free state is stabilized, or may
be termed induced fit, when the new conformation promoted by the partner
is present only in very low concentration in the free ensemble.[10] According to either description the intermolecular
interactions of disordered proteins with their partners are thought
to contrast with the rugged landscape that would arise from their
intramolecular interactions alone.Templated folding differs
from autonomous folding in that often
a considerable portion of the protein remains disordered in the final
bound complex.[11,12] Thus, templated folding cannot
always be described by a perfectly funnel-like energy landscape. Although
the structural motifs found in the bound complex often overlap with
the preformed conformational elements in the unbound state,[13] distinct conformations turn out to be sampled
when the protein binds to different partners. Furthermore, mutations,
which stabilize binding competent secondary structure elements in
the bound form, may not always improve binding affinity.[14] Surprisingly, in these cases mutations outside
the binding region often contribute to the affinity or specificity
of binding.[15] These results suggest that
heterogeneous nucleation in the templated folding pathway differs
somewhat from the homogeneous nucleation of single globular proteins.[16,17] These results also suggest that the energy landscape of the bound
complex is more rugged than that for more fully folded species.Disordered proteins can also undergo disordered binding, displaying
many conformational substates in the bound forms, generated by a rugged
energy landscape. Conformational exchange between these substates
can be observed both within and outside the binding region.[5,18] This pattern facilitates transient interactions at the binding interface
with other functional motifs.[19] All these
observations prompt the idea that the interactions of disordered proteins
can be fuzzy, and that their functional versatility exploits the diversity
of many different substates.[20] Although
the biological significance of fuzziness has been established,[1,5] understanding how diversity and specificity are reconciled requires
the quantitative application of energy landscape theory. One’s
intuition that interactions mediated by disordered regions must always
be weak is contradicted by the existence of disordered protein complexes
with high affinities.[2]Here we examine
this problem using energy landscape theory tools
that analyze local frustration in proteins.[21] These approaches were originally developed to describe how individual
parts of a protein guide the folding of globular proteins toward their
minimally frustrated native state.[22] Localizing
frustration has given insights into their conformational motions and
into their functional adaptations that conflict with folding.[23] In this paper we expand the theory of frustration
to complexes of disordered proteins, showing consistency with the
energy landscape theory. In this paper we systematically analyze frustration
in the free and bound states of 160 disordered proteins that have
been found to form fuzzy complexes. We find that the interactions
display a high degree of frustration in both the more structured and
unfolded parts of disordered proteins. We also show that while templated
folding reduces the level of frustration, it does not eliminate frustration
entirely, reflecting the fact that intermolecular interactions in
the distinct fuzzy protein complexes are suboptimal. We find there
are often distinct frustration patterns in complexes with different
partners, which indicates that using suboptimal interactions provides
some selectivity but also enables versatility. Our results provide
a consistent physical model by which energetic frustration explains
the functional versatility of fuzzy protein complexes on the basis
of the energy landscape theory.
Methods
The protocols
underlying the data sets have been published, as
well as the data sets themselves. Therefore, here we only provide
a brief description of the methods, which are detailed in previous
works.[24,25]
Regions Representing Templated Folding (Disorder-to-Order
Binding
Mode, DORs, Table S1)
We collected
crystal structures from the PDB that have a resolution higher than
3 Å, but that have a missing electron density for at least five
residues. We excluded protein sequences with post-translational modifications
or that contained nonstandard amino acids. We then collected all available
bound-state structures involving the disordered region in all the
complexes. We analyzed the interface residues, and selected those
regions, where at least 1 residue mediated an interprotein interaction
(within 4.5 A from the interface). The resulting disorder to order,
DOR, from the data set contained 97 nonredundant disordered regions,
which were represented in 331 complexes, in which the disordered regions
folded upon binding (Table S1). For the g(r) analyses we selected a nonredundant
data set of 83 complexes.
Regions Representing Context-Dependent Binding
Modes (CDRs, Table S2)
Disordered
regions that were
observed to be as both folded and disordered in different complex
structures with distinct binding partners were defined as context-dependent
regions, CDR. We assembled context-dependent regions with a minimum
length of five residues in the CDR data set. This data set contained
93 nonredundant disordered regions, represented in both ordered and
disordered forms in 750 complex structures (1505 chains) (Table S2). For the g(r) analyses we selected a nonredundant data set of 77 complexes.
Data set of Fuzzy Protein Structures and Local Frustration
The protein structures for DOR and CDR class were downloaded from
the Protein Data Bank (PDB, https://www.rcsb.org/) and the frustration patterns were calculated using the protein
frustratometer software,[26,27]http://www.frustratometer.tk/).
Results
We calculate the local frustration patterns
using the Frustratometer
server[26] which measures the contribution
of specific interactions to the creation of a funneled folding landscape.
The pair distribution function shows the probability of finding a
frustrated interaction at a given distance from the Cα atom
of IDP. The Cα are chosen from the annotated fuzzy regions (Table S1 and Table S2). For structured regions, the Cα are chosen from random picking
of a continuous segment of the same length than that of the fuzzy
regions on the same protein. To quantify how the local frustration
patterns correspond with fuzziness we calculated the relative pair
distribution functions g(r) for
the locations of various classes of contacts classified by their frustration
level with respect to the Cα locations of the residues found
in fuzzy regions. This allows us to see the connection of frustration
to fuzziness.
Templated Folding Leaves Highly Frustrated Interactions in Fuzzy
Protein Complexes
We have evaluated the local frustration
patterns in a set of 83 structures (97 fuzzy regions) of disordered
protein complexes, where the disordered regions manifest disorder-to-order
transitions on binding. Figure A shows an example of the local frustration patterns in a
fuzzy protein complex. The pair distribution functions for residues
classified by configurational frustration index are displayed in Figure B. Configurational
and mutational frustration indeces differ in the way the decoys are
generated. In the mutational case, the decoys are generated by sampling
the change in energy given by pair-mutations on the proven contact,
keeping all other interaction parameters the same. For the configurational
case, the decoys are not only changed by mutations but also in distance
and burial, thus sampling the distribution expected for compact non-native
folds. The corresponding distributions for residues as classified
by the mutational frustration index are shown in Figure S1 for all the complexes generated by templated folding.
The distributions also include disordered regions which fold, but
which do not mediate interactions with the partner. We found that
protein regions that were originally disordered but that now adopt
a well-defined structure upon binding still exhibit highly frustrated
interactions between 2 and 4 Å. The density of minimally frustrated
contacts is also lower in these bound but fuzzy regions (Figure B (left)). These
results indicate that the folding of disordered regions upon binding
often remains far from being optimal. We have also found that those
DORs which have taken on order by templated folding, also display
an enrichment in highly frustrated interactions with respect to the
rest of the molecule (Figure S1A). The
interactions found in the structured regions of the same proteins
(chosen as random controls, Methods) also
show an enrichment of highly frustrated contacts which are slightly
less frustrated than those of disordered regions (Figure B (right)). The frustration
of the interactions of the ordered regions remains significantly higher
than what is usually found in complexes formed from fully structured
proteins.[21] These results indicate that
templated folding of fuzzy regions also imposes constraints on the
folded part of the protein.
Figure 2
Local frustration in complexes of disordered
proteins generated
by templated folding where the regions undergo transition from a disordered
to an ordered state. (A) Examples of frustration patterns in a protein
undergoing disorder-to-order transition upon binding. The backbones
of the protein are shown as gray cartoons, minimally frustrated contacts
are depicted with green lines, highly frustrated interactions are
depicted with red lines. Neutral interactions were omitted for clarity.
The disorder-to-order region is colored yellow. (B) On the left we
show the pair distribution function of the contacts between the protein
and the residues in the disorder-to-order region. On the right we
show the pair distribution function of the contacts between residues
of structured regions: green, minimally frustrated contacts; red,
highly frustrated; gray, neutral contacts; black, all contacts. In
all cases g(r) values were normalized
such that g(20) = 1.
Local frustration in complexes of disordered
proteins generated
by templated folding where the regions undergo transition from a disordered
to an ordered state. (A) Examples of frustration patterns in a protein
undergoing disorder-to-order transition upon binding. The backbones
of the protein are shown as gray cartoons, minimally frustrated contacts
are depicted with green lines, highly frustrated interactions are
depicted with red lines. Neutral interactions were omitted for clarity.
The disorder-to-order region is colored yellow. (B) On the left we
show the pair distribution function of the contacts between the protein
and the residues in the disorder-to-order region. On the right we
show the pair distribution function of the contacts between residues
of structured regions: green, minimally frustrated contacts; red,
highly frustrated; gray, neutral contacts; black, all contacts. In
all cases g(r) values were normalized
such that g(20) = 1.We next compared the level of frustration of those residues which
are involved in the binding interface (binding) to those that do not
mediate intermolecular interactions (nonbinding). Highly frustrated
interactions are considered if the local frustration index is lower
than −1. Figure A compares the density of the configurational frustration index for
fuzzy residues involved in binding (blue) and nonbinding contacts
(pink), in the complexes generated by templated folding. We observed
that those residues which do not form contacts with the partner exhibit
a higher frustration index than do those which directly form intermolecular
contacts (Figure A)
indicating that the binding itself does ameliorate the high frustration
of disordered proteins. These results indicate that the folding of
disordered regions is less optimal than their frustrated interface
interactions.
Figure 3
Distribution of local frustration indeces for binding
contacts
(red) and for the nonbinding contacts (blue) for fuzzy residues. These
are shown for (A) regions representing templated folding (DOR) and
for (B) regions representing context-dependent binding modes (CDR).
Highly frustrated interactions are defined by the frustration index
lower than −1.
Distribution of local frustration indeces for binding
contacts
(red) and for the nonbinding contacts (blue) for fuzzy residues. These
are shown for (A) regions representing templated folding (DOR) and
for (B) regions representing context-dependent binding modes (CDR).
Highly frustrated interactions are defined by the frustration index
lower than −1.
Templated Folding Decreases
the Overall Frustration of Disordered
Regions Relative to the Free Monomeric State
Without simulating
the intrinsically disordered protein ensemble it is difficult to assess
precisely the local frustration of the disordered protein regions
in their free (unbound) forms. We can get an idea of the frustration
level however by examining the frustration in the structure of the
disordered monomers simply by removing the interaction partner, thus
generating a hypothetical single structure representative of the ensemble
without intermolecular interactions. Both the finally disordered and
structured regions display a higher density of frustrated contacts
in the absence of the partner (Figure S2). When we compare the frustration in monomers and complexes we see
that the level of frustration is lowered upon binding: partner interactions
do reduce the number of suboptimal contacts (see Figure S3 and S4). For both templated folding (Figure S3) and context-dependent binding modes
(Figure S4) we observe that fuzzy binding
also reduces frustration as compared with the free state.We
also analyzed some monomers that are found to be ordered in the free
form but become fuzzy in the bound form (Figure S5). For these 52 regions we also observe an enrichment of
highly frustrated interactions around the fuzzy regions.
Conditional
Folding Is Associated with High Frustration of Disordered
Regions
Increasing experimental evidence indicates that the
frustrated interactions of disordered proteins[24] often manifest themselves by forming ordered complexes
with some partners but forming disordered complexes with other partners.[28]We term these examples as displaying “conditional
folding”. In this scenario, the folding of disordered proteins
depends on the binding context (context-dependent regions, CDRs),
such as the interaction partner, post-translational modification or
cellular conditions.[29] Here we analyzed
77 complexes (93 fuzzy regions), generated by conditional folding
and found that these complexes exhibit highly frustrated interactions
(Figure A) similarly
to templated folding (Figure B). The distributions for the mutational frustration indeces
are shown in Figure S1. These indicate
a small enrichment, relative to the topology of the protein (black
lines), in frustrated interactions around the fuzzy regions. Frustrated
contacts can be found both in the structured regions of the proteins
(Figure B), and in
the fuzzy regions outside the binding interface (Figure B). Thus, varying the degrees
of folding with different partners also results in suboptimal interactions
in the bound state.
Figure 4
Local frustration in conditionally folding proteins. Those
proteins
which do not have a well-defined structure as monomer, but that may
adopt a structure in a partner- or context-dependent manner or remain
disordered in their complexes. (A) Examples of frustration patterns
in a conditionally folding protein. The backbone of the protein is
shown as gray cartoons, minimally frustrated contacts are depicted
with green lines, highly frustrated interactions are depicted with
red lines. Neutral interactions were omitted for clarity. The context-dependent
region is marked in yellow. (B) On the left the pair distribution
function of the contacts between the protein and residues of the context-dependent
regions. On the right the pair distribution function of the contacts
between residues of structured regions: green, minimally frustrated
contacts; red, highly frustrated; gray, neutral contacts; black, all
contacts; g(r) values were normalized
such that g(20) = 1.
Local frustration in conditionally folding proteins. Those
proteins
which do not have a well-defined structure as monomer, but that may
adopt a structure in a partner- or context-dependent manner or remain
disordered in their complexes. (A) Examples of frustration patterns
in a conditionally folding protein. The backbone of the protein is
shown as gray cartoons, minimally frustrated contacts are depicted
with green lines, highly frustrated interactions are depicted with
red lines. Neutral interactions were omitted for clarity. The context-dependent
region is marked in yellow. (B) On the left the pair distribution
function of the contacts between the protein and residues of the context-dependent
regions. On the right the pair distribution function of the contacts
between residues of structured regions: green, minimally frustrated
contacts; red, highly frustrated; gray, neutral contacts; black, all
contacts; g(r) values were normalized
such that g(20) = 1.
The above results are consistent with the idea that the folding
of disordered regions upon their targets does not always result in
complex structures that are completely optimal and free from conflicts.
What is the molecular basis of target selection in the absence of
a distinguished bound-state conformation? To answer this question,
we examined some complexes in which the same disordered region interacts
with different binding partners.We illustrate the differential
binding of fuzzy regions by residues 39–47 of translation initiation
factor 2 subunit gamma (Q980A5). In protein structures PDB 3cw2 and PDB 3i1f eif2g folds into
two different conformations. While the structure of the fuzzy region
in 3cw2 is stabilized
by the intramolecular interactions between Glu39–Thr46 and
Glu40–Gly44, the 3i1f structure is instead stabilized by a charge–charge
interaction between Glu39 and Arg43. In the 3i1f structure, the Gly44
main chain forms a hydrogen bond with a Lys42 side-chain while in
the 3cw2 structure
Lys42 interacts with Asp-283 of the structured domain.Figure A shows
the structures and local frustration patterns for these different
protein structures. Overall both structures possess an extended network
of minimally frustrated interactions, with patches of highly frustrated
interactions on the surface. Each structures display different frustration
patterns for the fuzzy region in the complexes. We see that different
ways of resolving the conflicts have been chosen in the alternative
structures. This interchange of frustrated interactions is easily
visualized in the contact maps.
Figure 5
(A) Structures for translation initiation
factor 2 subunit gamma
(eif2g), PDB 3cw2 (above) and PDB 3i1f (below). Contact map of 3cw2 (above the diagonal), and 3i1f (below the diagonal). (B) Protein structure
for mitogen-activated protein kinase 10, PDB 3v6r (above) and PDB 4h3b (below). Contact
map of 3v6r (above
the diagonal), and 4h3b (below the diagonal). The local frustration patterns of the protein,
with the minimally frustrated interactions shown in green, the neutral
shown in gray, and highly frustrated interactions shown in red. The
fuzzy region is shown with the yellow backbone. For the contact map:
green, minimally frustrated contacts; red, highly frustrated; gray,
neutral contacts.
(A) Structures for translation initiation
factor 2 subunit gamma
(eif2g), PDB 3cw2 (above) and PDB 3i1f (below). Contact map of 3cw2 (above the diagonal), and 3i1f (below the diagonal). (B) Protein structure
for mitogen-activated protein kinase 10, PDB 3v6r (above) and PDB 4h3b (below). Contact
map of 3v6r (above
the diagonal), and 4h3b (below the diagonal). The local frustration patterns of the protein,
with the minimally frustrated interactions shown in green, the neutral
shown in gray, and highly frustrated interactions shown in red. The
fuzzy region is shown with the yellow backbone. For the contact map:
green, minimally frustrated contacts; red, highly frustrated; gray,
neutral contacts.Another example (Figure B), that illustrates
the nature of fuzzy binding is the 369–382
residue region of Mitogen-activated protein kinase 10 (P53779). In
the PDB 4h3b structure, the folding of the fuzzy region is stabilized by many
intramolecular interactions. As we can observe in the contact map,
some of these interactions form between side-chains with main-chain
atoms, for example, Gln374 and Pro372, Gln379 and Leu380, or Glu382
NE2 and Glu382 C–O. In contrast, in the PDB 3v6r structure, there
are considerably fewer intramolecular contacts (Glu369, Leu380, and
Asp381). The contact maps clearly reflect the different ways of trying
to eliminate frustration in the two complexes.
Discussion
Some frustration in the energy landscapes is required for the functional
adaptability of proteins.[23] As a consequence
of those frustrated interactions, the energy landscape is rugged encompassing
distinct local minima enabling multiple biological activities.[30] To control their interactions, generally proteins
have evolved to optimize frustration allowing specificities to be
compromised for functional needs.[31] This
is brought to the extreme for disordered proteins, which even lack
a well-defined conformation on their own and must always be described
as an ensemble of conformers.[3] The structured
character of complexes of disordered proteins with their specific
partners, however, has led to the misleading impression that, in the
end, functioning always requires a single well-defined conformation.
The presence of a well-defined structure, however, does not correlate
with the affinity of the interactions. Here we have performed a systematic
analysis of the complexes of many disordered protein regions. This
analysis demonstrates that even after binding, the interaction energetics
are far from optimal in the fuzzy regions, in accord with experimental
data.[16] Consistent with earlier results
for individual cases,[32] we have found that
both the disordered and structured regions of complexes are enriched
in highly frustrated interactions in the bound complexes of disordered
proteins. The interface contacts do decrease the frustration level
in the disordered protein once bound as compared to the frustration
of the free state, but the interactions often still remain suboptimal
and energetic conflicts remain to be resolved (Figures S3 and S4). These results corroborate the ruggedness
of the energy landscape, which describes complexes of disordered regions.
We illustrated through two examples that the fuzzy regions display
distinct frustration patterns with different partners, rationalizing
how residual frustration allows both specificity and versatility to
be encoded. These observations can be exploited upon targeting disordered
regions by small molecules. Our results indicate that binding small
molecule drugs do not need to induce folding of disordered regions.
Instead, specificity may originate from distinct frustration patterns
of highly heterogeneous conformations via ’disordered binding’.
Our work shows that specificity of the interaction is not solely encoded
in a given contact pattern, but also by the way frustration is ameliorated.
These observations highlight the importance of conflicting, suboptimal
interaction in drug design for disordered regions.The coupled
folding and binding of disordered regions leads to
suboptimal contacts, which thus allows binding to different partners.
This is fully consistent with the original notion of local frustration
in spin glasses and systems such as the triangular antiferromagnet
where many structures compete as global minima.[23,33] The high residual frustration explains why disordered regions are
capable of manifesting several different binding modes.[25] The frustration of interactions in disordered
proteins and their bound complexes allows binding to be fuzzy by being
suboptimal thereby enabling multifunctionality. Frustration and the
ruggedness of the energy landscape thus enable functional versatility
along with specificity.
Authors: Diego U Ferreiro; Joseph A Hegler; Elizabeth A Komives; Peter G Wolynes Journal: Proc Natl Acad Sci U S A Date: 2007-12-05 Impact factor: 11.205
Authors: Aashish Manglik; Tae Hun Kim; Matthieu Masureel; Christian Altenbach; Zhongyu Yang; Daniel Hilger; Michael T Lerch; Tong Sun Kobilka; Foon Sun Thian; Wayne L Hubbell; R Scott Prosser; Brian K Kobilka Journal: Cell Date: 2015-05-14 Impact factor: 41.582
Authors: Michael D Crabtree; Wade Borcherds; Anusha Poosapati; Sarah L Shammas; Gary W Daughdrill; Jane Clarke Journal: Biochemistry Date: 2017-04-26 Impact factor: 3.162
Authors: Ahmed Salem; Carter J Wilson; Benjamin S Rutledge; Allison Dilliott; Sali Farhan; Wing-Yiu Choy; Martin L Duennwald Journal: Front Mol Biosci Date: 2022-01-10