ProBiS-Database is a searchable repository of precalculated local structural alignments in proteins detected by the ProBiS algorithm in the Protein Data Bank. Identification of functionally important binding regions of the protein is facilitated by structural similarity scores mapped to the query protein structure. PDB structures that have been aligned with a query protein may be rapidly retrieved from the ProBiS-Database, which is thus able to generate hypotheses concerning the roles of uncharacterized proteins. Presented with uncharacterized protein structure, ProBiS-Database can discern relationships between such a query protein and other better known proteins in the PDB. Fast access and a user-friendly graphical interface promote easy exploration of this database of over 420 million local structural alignments. The ProBiS-Database is updated weekly and is freely available online at http://probis.cmm.ki.si/database.
ProBiS-Database is a searchable repository of precalculated local structural alignments in proteins detected by the ProBiS algorithm in the Protein Data Bank. Identification of functionally important binding regions of the protein is facilitated by structural similarity scores mapped to the query protein structure. PDB structures that have been aligned with a query protein may be rapidly retrieved from the ProBiS-Database, which is thus able to generate hypotheses concerning the roles of uncharacterized proteins. Presented with uncharacterized protein structure, ProBiS-Database can discern relationships between such a query protein and other better known proteins in the PDB. Fast access and a user-friendly graphical interface promote easy exploration of this database of over 420 million local structural alignments. The ProBiS-Database is updated weekly and is freely available online at http://probis.cmm.ki.si/database.
Many different questions can be addressed
by detection of structural
similarities in proteins. These include elucidation of the biochemical
functions of newly characterized proteins,[1,2] prediction
of side-effects of known drugs that bind to proteins other than their
initial target (off-targets),[3] and repositioning
of ligands between similar binding sites in different proteins to
find a new indication for an old drug.[4,5] However, comparison
of only the folds in proteins fails to shed light on these problems[6] because the binding sites in a protein rather
than its folding patterns control its binding to ligands and hence
its biochemical function.[7−10] Methods for the detection of local structural similarities[11,12] and computational resources that deal with similar problems[13,14] have been developed.Here, we describe ProBiS-Database, a
searchable repository of local
pairwise alignments of nonredundant protein structures generated by
the ProBiS algorithm.[15,16] ProBiS compares entire protein
surfaces in a local manner by searching for similar three-dimensional
structural motifs in pairs of proteins without reference to known
binding sites or co-crystallized ligands.[15] It retrieves structures that possess surface regions with geometrical
and physicochemical properties similar to those in a query protein.
The algorithm represents the surfaces of compared proteins as protein
graphs, i.e., as structures of vertices and edges, the vertices corresponding
to functional groups of surface amino acid residues, and the edges
determined by distances between pairs of adjacent vertices. It uses
a filtering step, which removes nonsimilar protein graph pairs beforehand,[17] and a maximum clique algorithm to compare these
protein graphs efficiently.[18] As a consequence,
the ProBiS algorithm is able to compare complete protein structures
rather than preselected residue motifs, and this facilitates the detection
of similar binding sites. Many local alignments between two proteins
can be detected, and each such local alignment is represented by a
rotational and translation variation that optimally superimposes a
patch of surface residues from each of the proteins. ProBiS has been
shown to successfully align binding sites in protein structures with
dissimilar folding patterns.[15] Structural
similarity scores that are calculated for all amino acid residues
in the query protein reveal the frequency of occurrence of a particular
residue in the local structural alignments that were found in the
protein database. These scores are represented as different colors
on the query protein structure.The initial version of ProBiS-Database
was built in 2011 from the
PDB of 181,882 protein single chains.[6] All
these single-chain protein structures are clustered with >95% sequence
identical structures, and a representative of each cluster is chosen.[15] Surface residues of the selected representative
proteins are identified and converted to protein graph representations,
which are saved into 29,266 “surface files” enabling
faster pairwise comparisons by ProBiS. The ProBiS algorithm is used
to complete an “all against all” comparison of these
29,266 nonredundant protein structures that represent the whole PDB.
The resulting pairwise local structural alignments that are detected
among these nonredundant proteins constitute the ProBiS-Database.A standard comparison with ProBiS algorithm, available at http://probis.cmm.ki.si, of a query protein against the nonredundant
PDB (nr-PDB) can require hours, but the precalculated local structural
similarity profile for a query protein, which gives essentially the
same result, can be obtained in seconds from the ProBiS-Database.
ProBiS-Database can be linked by other Web pages, e.g., PDBWiki,[19] which provides users of these Web pages with
instant access to local structural alignments of PDB protein structures.
The ranking of local structural alignments is supported by Z-Score, which provides a statistical measure of protein
similarity and is described below. ProBiS-Database can be queried
with a protein’s PDB/Chain ID to identify regions on the protein’s
surface that may be involved in binding of various ligands. Alternatively,
by querying ProBiS-Database with a protein containing an identified
binding site, other proteins can be found with structurally or physicochemically
similar binding sites, and superimposition of these functional sites
and similar site(s) in the query protein can be achieved. ProBiS-Database
holds over 420 million precalculated local structural alignments of
complete protein surfaces, which span beyond similar protein folding
patterns. This enables the detection of known as well as novel similar
binding sites in proteins from PDB, even when these do not have structural
homologues.ProBiS-Database home page.
Methods
ProBiS-Database Access
Figure 1 shows three means of accessing the ProBiS-Database: (a) the search
text box, (b) a ProBiS-Database Widget, and (c) the RESTful Web Service
Interface.[20]
Figure 1
ProBiS-Database home page.
ProBiS-Database Search Text Box
The search text box,
centrally located at the top of the ProBiS-Database home page, allows
searching of the database with PDB ID as the query. After the Search button is clicked, the server returns all protein
chains for which there is data in the ProBiS-Database as links under Search Results. Selection of such a link, identified by
PDB/Chain ID, opens the Local Structural Similarity Profile Web page for that protein chain or a similar representative protein
chain.
ProBiS-Database Widget
A ProBiS-Database widget, a
dynamicWeb element, which can easily be included in one’s Web
page, allows access to ProBiS-Database. The widget is a javascript
program, which accepts a PBD/Chain ID as a query and directs the user
to a Local Structural Similarity Profile Web page
for the query protein chain. Entry of a nonrepresentative PDB structure
prompts redirection to the >95% sequence identical representative
of the input protein’s corresponding cluster. If a query protein
is not in the nonredundant-PDB (nr-PDB) (for definition see below),
the user is redirected to the Local Structural Similarity
Profile Web page for the most similar protein from the nr-PDB.
The widget's source code is on the ProBiS-Database server and does
not require any installation or programming from the user; a single
line of HTML code causes it to be included in the Web page source
code. Users can also modify the widget’s appearance, such as
the size and colors, to tailor it to their own Web page design.
ProBiS-Database RESTful Web Service interface
To allow
programmatic access to the ProBiS-Database, it is also available through
a RESTful (representational state transfer) Web service interface.
The data on our Web server can thus be downloaded by other client
applications, e.g., other Web pages, scripts, and on remote computers
through HTTP protocol in a fully automated way. The interface is defined
by a set of HTTP commands that can be used to retrieve data in JSON,
XML, or text/plain formats from the ProBiS-Database. A complete list
of commands available is on the ProBiS-Database home page. To download
any data from the ProBiS-Database, the user may execute the script
in Perl language provided on the ProBiS-Database home page.
ProBiS-Database Construction
The ProBiS Web server[16] enables de novo comparisons of protein structures,
while ProBiS-Database provides precalculated structural similarity
profiles for all nonredundant PDB entries. The construction of the
ProBiS-Database involved the steps described below.
Data Set Reduction
The nr-PDB is built from the PDB
protein chains and holds more than 29,000 representative protein structures,
covering the current protein structural variability in the PDB.
“All against All” Alignments
Structural
comparison of each nr-PDB structure with all other nr-PDB structures
using ProBiS algorithm, a total of (29,000)2/2 = 420 ×
106 computations, was completed in 18 days using a cluster
of 14 high performance computers, and the resulting pairwise local
alignments are stored in a searchable ∼350 GB MySQL database
that is updated on a weekly basis as described below.
Entries in the ProBiS-Database
The ProBiS-Database
is composed of a main table and tables containing results and alignments.
There are some 420 × 106 entries in the main table,
each consisting of the PDB/Chain IDs of two compared proteins. An
entry in the main table points to one or more entries in the results
table, each consisting of a pair of aligned amino acid residues from
the two compared proteins. In the results table, residue–residue
correspondences that belong to a particular local pairwise alignment
are connected with a single entry in the alignments table, which carries
different scores, which all describe the quality of that particular
local alignment. This entry also holds a rotational matrix and translational
vector, which define the superimposition of the two compared proteins
in this local alignment. Efficient indexing of the tables guarantees
very fast data retrieval from the ProBiS-Database with PDB/Chain ID
queries.
Automatic ProBiS-Database Updates
The ProBiS-Database
is updated automatically on a weekly basis. First, a new nr-PDB is
built as described above, and then the protein chains that were absent
from the previous week’s version of nr-PDB are identified.
The new representative protein structural chains, currently some 150
each week, are compared by the ProBiS algorithm to all the structures
in the new nr-PDB. Data associated with protein chains that are not
in the new nr-PDB are removed from the ProBiS-Database. This automated
process performed on a single computer requires ∼3 days.
Structural Alignment Scores
Z-Score, used to measure the statistical and structural significance of
local structural alignments in the ProBiS-Database is calculated as
follows. First, the alignment score (al) is calculated for each local alignment on the
basis of the different scores described in ref (15) by the equationwhere rmsd is the root mean
square deviation between pairs of superimposed vertices, n is the number of aligned vertices,
and e is the alignment
expectation value calculated by the Karlin–Altschul equation.[21]The alignment score is then standardized
into Z-Score asThe population mean (μ) and population
standard deviation
(σ) were calculated from alignment scores for all 420 ×
106 structural alignments, and the values of μ and
σ are 2.0 and 2.2, respectively. Z-Score indicates
how many standard deviations al differs from the mean, e.g., a pairwise alignment with Z-Score of 2.0 is in the top ∼2% of all alignments
in the ProBiS-Database. Local alignments are ranked by their Z-Scores, and only alignments with Z-Score > 1.0 are shown in the database user interface.
“Hot” Similar Proteins
Similar proteins
that are retrieved but belong to a different protein family than the
query protein according to the Protein Family (Pfam) classification,[22] are designated as “hot” and are
marked with a red star in the ProBiS-Database interface. “Hot”
proteins often perform a different biochemical function than the query
protein. Pfam accession numbers are used in the ProBiS-Database because
Pfam database is updated regularly and promptly and covers most of
the PDB structures. The concept of “hot” proteins is
introduced into the ProBiS-Database interface to enable users to quickly
identify globally dissimilar proteins, sharing only local similarities
with the query protein and possible examples of convergent evolution.
Software Requirements
ProBiS-Database requires Sun
(Oracle) Java plugin version 6 update 26–29 (http://www.java.com/) and has been shown to function correctly with Firefox, IE8, Chrome
14.0, Safari 5.1, and Opera 11.5 Web browsers. It also works with
OpenJDK (IcedTea-Web 1.1.1) plugin on Firefox.
Results
ProBiS-Database, a repository of protein local
structural alignments,
spans across protein fold space. For a PDB/Chain ID as query, the Local Structural Similarity Profile Web page is retrieved
in seconds from the ProBiS-Database. This Web page contains (1) structurally
similar binding sites, (2) local pairwise alignments of the query
protein with the nonredundant PDB protein structures, and (3) “Hot”
proteins that are of a different protein family than the query protein
according to Pfam classification but contain a similar surface amino
acid motif. The following examples illustrate the various features
of the ProBiS-Database. The first three examples describe the technical
aspects of the database and the user interface; the latter two deal
with the biochemical insights that can be obtained with the ProBiS-Database.
Example 1: Identification of Functionally Important Binding
Site Residues
The cytochrome c protein (PDB ID: 5cyt) comprises a single
polypeptide chain and participates in the electron transport chain
by transferring one electron using its heme prosthetic group. With
this protein as query, ProBiS-Database yielded 155 similar protein
structures having a similar surface motif, and similarity scores were
calculated on the basis of the local alignments of the query protein
with all retrieved structures with Z-Score >2.0.
The Local Structural Similarity Profile page for
this protein is presented in Figure 2. The
three-dimensional model of the query protein is shown on the left
in Figure 2, color coded by structural similarity
scores, in the Jmol molecular viewer (http://www.jmol.org). It is simple to identify functionally important binding site residues,
which outline the functional site on this protein, the heme binding
site, which is colored red.
Figure 2
Local structural similarity profile Web page for cytochrome c query
protein (PDB/Chain ID: 5cyt.R). (a) Similarity scores are mapped onto the three-dimensional
cartoon model of the query protein in a Jmol molecular viewer (http://www.jmol.org). The heme ligand is shown in the binding
site as a wireframe model colored by CPK scheme. A mouse click on
the red part of the rainbow-colored band below the Jmol viewer highlights
the most structurally similar residues as red colored spheres. (b)
An interactive table of similar proteins, which are ranked by their
Z-Scores. Click on a View link in the Alignments column opens the Details tab showing all alignments
of the query and the similar proteins (see details in Figure 3). Superimposition of the two proteins according
to the highest scoring alignments (Alignment No. 1) is shown in the
Jmol viewer. Click on a PDB/Chain ID link in the Chain column opens a new Local structural similarity
profile Web page for the selected protein chain and thus
allows browsing the ProBiS-Database. The Name column
presents the names of the similar proteins. A red star in the Hot column indicates that the aligned and query proteins
have a different Pfam accession number. Z-Scores >
2.0 are colored green; 1.0 < Z-Score <2.0 are
yellow.
Example 2: Local Pairwise Alignments of PDB Structures
An interactive table of similar proteins appears on the right side
of Figure 2. Each of these similar proteins
may have many different local pairwise alignments with the query protein;
they are ranked by the Z-Score of their highest scoring
local pairwise alignment. Similar proteins marked with a red star
are “Hot”, which means they are of a different protein
family according to the Protein Family (Pfam) classification system
than the query protein.[22] In the Local Structural Similarity Profile page for cytochrome
c in Figure 2, there are 61 “hot”
similar proteins; many of these have a fold different from that of
the query protein (cytochrome c fold).[23] Among similar proteins are various differently folded proteins,
e.g., multiheme cytochrome, cytochrome f, etc. It should be noted
that these proteins have no backbone or sequence similarities and
thus will not be detected by structural alignment algorithms, which
compare protein backbones or secondary structure elements.[6] In the majority of these differently folded proteins,
the detected pairwise alignments correspond to amino acids in the
heme binding sites of these proteins, and below we present one such
example.Local structural similarity profile Web page for cytochrome c query
protein (PDB/Chain ID: 5cyt.R). (a) Similarity scores are mapped onto the three-dimensional
cartoon model of the query protein in a Jmol molecular viewer (http://www.jmol.org). The heme ligand is shown in the binding
site as a wireframe model colored by CPK scheme. A mouse click on
the red part of the rainbow-colored band below the Jmol viewer highlights
the most structurally similar residues as red colored spheres. (b)
An interactive table of similar proteins, which are ranked by their
Z-Scores. Click on a View link in the Alignments column opens the Details tab showing all alignments
of the query and the similar proteins (see details in Figure 3). Superimposition of the two proteins according
to the highest scoring alignments (Alignment No. 1) is shown in the
Jmol viewer. Click on a PDB/Chain ID link in the Chain column opens a new Local structural similarity
profile Web page for the selected protein chain and thus
allows browsing the ProBiS-Database. The Name column
presents the names of the similar proteins. A red star in the Hot column indicates that the aligned and query proteins
have a different Pfam accession number. Z-Scores >
2.0 are colored green; 1.0 < Z-Score <2.0 are
yellow.
Figure 3
Similar binding sites in protein structures
of different Pfam families.
To view this example, click the View link in the Alignments column for protein chain 1ci3.M (rank 116) in
the Similar Proteins tab on the Local structural
similarity profile Web page for cytochrome c (5cyt.R). (a) The query
protein (5cyt.R) and the aligned protein (1ci3.M) are shown as thin ribbons in blue or violet. Similar
binding sites residues are thick wireframe models and are colored
according to their respective proteins. The two heme ligands, which
are almost perfectly superimposed as a result of the alignment of
binding sites residues, are shown in CPK colors as wireframe models;
the attached Fe-ions are brown spheres. Thus these two unrelated proteins
are linked by ProBiS because they possess a structural motif, the
binding site, in common. Back to Query button at
the bottom resets the Jmol viewer to the original state showing the
query protein color coded by structural similarity scores [see Panel
(a) in Figure 2]. (b) The Details tab for local alignments between the query and similar protein is
presented. In general, more than one alignment is possible between
the query and the aligned protein structures (in this example only
one). The names, PDB IDs, and Pfam accession numbers of the query
and the aligned protein are at the top. The PDB and Pfam IDs are clickable
links, which take the user to the RCSB PDB Web page or to the Pfam
protein annotation database, respectively. Below, the alignments are
presented ranked according to their Z-Scores. Each
pairwise alignment is shown as a table of residue–residue correspondences
between the query and the aligned protein. A continuous green dash
connecting a pair of aligned residues indicates a good structural
correspondence; interrupted green dash indicates a poorer correspondence
between the residues. The Download buttons allow
downloading the alignment in various formats, and the View
in Jmol button shows the alignment in Jmol.
Example 3: Similar Binding Sites in Proteins of Different Pfam
families
In Figure 3, an example of
similar binding sites in “Hot” proteins belonging to
different protein families according to Pfam, i.e., cytochrome c (Pfam
ID: PF00034) and cytochrome f (PF01333), is presented as provided
by the ProBiS-Database.Similar binding sites in protein structures
of different Pfam families.
To view this example, click the View link in the Alignments column for protein chain 1ci3.M (rank 116) in
the Similar Proteins tab on the Local structural
similarity profile Web page for cytochrome c (5cyt.R). (a) The query
protein (5cyt.R) and the aligned protein (1ci3.M) are shown as thin ribbons in blue or violet. Similar
binding sites residues are thick wireframe models and are colored
according to their respective proteins. The two heme ligands, which
are almost perfectly superimposed as a result of the alignment of
binding sites residues, are shown in CPK colors as wireframe models;
the attached Fe-ions are brown spheres. Thus these two unrelated proteins
are linked by ProBiS because they possess a structural motif, the
binding site, in common. Back to Query button at
the bottom resets the Jmol viewer to the original state showing the
query protein color coded by structural similarity scores [see Panel
(a) in Figure 2]. (b) The Details tab for local alignments between the query and similar protein is
presented. In general, more than one alignment is possible between
the query and the aligned protein structures (in this example only
one). The names, PDB IDs, and Pfam accession numbers of the query
and the aligned protein are at the top. The PDB and Pfam IDs are clickable
links, which take the user to the RCSB PDB Web page or to the Pfam
protein annotation database, respectively. Below, the alignments are
presented ranked according to their Z-Scores. Each
pairwise alignment is shown as a table of residue–residue correspondences
between the query and the aligned protein. A continuous green dash
connecting a pair of aligned residues indicates a good structural
correspondence; interrupted green dash indicates a poorer correspondence
between the residues. The Download buttons allow
downloading the alignment in various formats, and the View
in Jmol button shows the alignment in Jmol.
Example 4: Detection of Convergent Evolution in PDB Structures
ProBiS-Database can also be used to detect weak similarities in
proteins with different protein folds. Here, we present a classic
example of convergent evolution, i.e., the proteins subtilisin and
trypsin, which are evolutionarily unrelated serine proteases with
completely different folds but that share the same catalytic mechanism
and utilize the same catalytic triad of serine, aspartic acid, and
histidine in their binding sites.[24] With
PDB/Chain ID: 1to2.E (subtilisin fold), we obtain 36 similar proteins, and there are
two trypsin-like folds among the “Hot” similar proteins:
collagenase (1azz.A) and polyprotein (2fp7.B); an example of the superimposition of the convergently evolved
binding sites in the query subtilisin (1to2.E) and aligned trypsin-like (1azz.A) proteins is shown
in Figure 4. The alignment of the catalytic
triads in both proteins involves the following residue–residue
correspondences: Serine 221–Serine 195, Aspartate 32–Aspartate
102, and Histidine 64–Histidine 57, where the residues in each
corresponding pair belong to the query and aligned protein, respectively.
These residues are scattered in the sequence of the proteins and thus
undetectable by standard sequence or structural alignment algorithms.
ProBiS-Database enables the detection of protein similarities in differently
folded proteins, which in turn enables functional annotation of proteins
that have no structural homologues in the PDB database. To our knowledge,
there is no such comprehensive computational approach that would allow
discovery of such weak similarities in this automated and intuitive
manner.
Figure 4
Detection of similarity between convergently evolved binding sites
in PDB structures of subtilisin (1to2.E) and trypsin (1azz.A).
Detection of similarity between convergently evolved binding sites
in PDB structures of subtilisin (1to2.E) and trypsin (1azz.A).
Example 5: Functional Annotation of PDB Structure from Structural
Genomics
Protein ne0167 (PDB/Chain ID: 3k6c.H) is a protein
recently deposited in the RCSB PDB by the Midwest Center for Structural
genomics.[6] It is uncharacterized and has
no significant sequence similarity to any of the known PDB structures.
Using the structural alignment methods in the 3D Similarity tab at the RCSB PDB Web page (http://www.rcsb.org) provides
no unambigous structural similarities to other PDB protein structures,
with the highest scoring alignment (Golgi to ER traffic protein
1) having a sequence identity with the query protein of only
6.78%. The similarities obtained at that Web page are too weak to
allow a definitive functional annotation of this query protein.ProBiS-Database provides the following answers about this protein’s
binding sites and function:The similarity scores mapped onto
the query protein structure indicate a putative binding site region,
which is colored orange in panel (a) of Figure 5.
Figure 5
Functional annotation
of uncharacterized query protein ne0167 (PDB/Chain
ID: 3k6c.H)
from a Structural genomics project.
(a) Putative binding site is shown as spacefill model and is colored
orange. The rest of the query protein is shown as a cartoon model.
(b) Among the top similar proteins are ferritin heavy chain (2cih.A), chloroplastic
ferritin 4 (3a68.B), and various bacterioferritins (2fkz.G, 3gvy.A, 1jgc.A, and 2vzb.B). The top ranked proteins (1jm0.C and 1y4dt.B) are de novo designed
protein structures that bind Fe2+ ions. (c) Superimposition
of putative binding site in query protein (3k6c.H) and known Fe2+ ion binding
site in bacterioferritin (2kfz.G). The two Fe2+ ions co-crystallized with
bacterioferritin are brown spheres. (d) The detailed pairwise alignment
of query and bacterioferritin proteins.
Among the most similar
proteins found
by ProBiS-Database are various iron-binding protein structures, for
example, ferritin heavy chain (2cih.A), chloroplastic ferritin 4 (3a68.B), and various
bacterioferritins (2fkz.G, 3gvy.A, 1jgc.A, and 2vzb.B), as shown in
panel (b) of Figure 5. With Z-Scores > 2.0, these protein structures are significantly similar to
the
query protein.A detailed
structural alignment with
the bacterioferritin protein (2fkz.G) reveals a significant structural correspondence
between amino acid residues in the ferritin Fe2+-binding
site region and residues of the uncharacterized protein, as shown
in panels (c) and (d) of Figure 5. The Fe2+ ions, which are co-crystallized in bacterioferritin, are
shown in panel (c) of Figure 5, and reveal
a probable binding pose of these divalent ions in the query protein
(3k6c.H).Our results reveal that the uncharacterized protein ne0167 is an iron-binding protein, most likely a previously
unknown form
of bacterioferritin. Although the global structure of this protein
is distantly similar to that in many other proteins, the functional
annotation of ne0167 has to date evaded definition.
In such difficult cases functional annotation can only be achieved
by finding local similarities with known binding sites. ProBiS-Database
is clearly useful in this respect, and it has the potential to become
a classic tool for protein functional annotation.Functional annotation
of uncharacterized query protein ne0167 (PDB/Chain
ID: 3k6c.H)
from a Structural genomics project.
(a) Putative binding site is shown as spacefill model and is colored
orange. The rest of the query protein is shown as a cartoon model.
(b) Among the top similar proteins are ferritin heavy chain (2cih.A), chloroplastic
ferritin 4 (3a68.B), and various bacterioferritins (2fkz.G, 3gvy.A, 1jgc.A, and 2vzb.B). The top ranked proteins (1jm0.C and 1y4dt.B) are de novo designed
protein structures that bind Fe2+ ions. (c) Superimposition
of putative binding site in query protein (3k6c.H) and known Fe2+ ion binding
site in bacterioferritin (2kfz.G). The two Fe2+ ions co-crystallized with
bacterioferritin are brown spheres. (d) The detailed pairwise alignment
of query and bacterioferritin proteins.
Conclusions
ProBiS-Database is a repository of local
structural similarities
between all nonredundant protein structures. It allows detection of
similar three-dimensionsal residue patterns in protein structures
irrespective of protein folds and with no prior knowledge of binding
sites. The purpose of ProBiS-Database is to generate hypotheses for
protein functions, but it can also be used for detection of off-targets
and for detection of sites possibly valuable for drug repositioning.Every new structure may provide new clues as of functions of proteins,
and so the weekly updated ProBiS-Database always contains the most
recently reported protein structures. In contrast to the ProBiS Web
server,[16] the results are precalculated,
guaranteeing rapid response to queries.
Authors: H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne Journal: Nucleic Acids Res Date: 2000-01-01 Impact factor: 16.971
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Authors: Tanja Štular; Samo Lešnik; Kaja Rožman; Julia Schink; Mitja Zdouc; An Ghysels; Feng Liu; Courtney C Aldrich; V Joachim Haupt; Sebastian Salentin; Simone Daminelli; Michael Schroeder; Thierry Langer; Stanislav Gobec; Dušanka Janežič; Janez Konc Journal: J Med Chem Date: 2016-12-12 Impact factor: 7.446
Authors: Janez Konc; Benjamin T Miller; Tanja Štular; Samo Lešnik; H Lee Woodcock; Bernard R Brooks; Dušanka Janežič Journal: J Chem Inf Model Date: 2015-11-09 Impact factor: 4.956
Authors: Sebastian Salentin; Sven Schreiber; V Joachim Haupt; Melissa F Adasme; Michael Schroeder Journal: Nucleic Acids Res Date: 2015-04-14 Impact factor: 16.971
Authors: Jacqueline C Hargis; Sai Lakshmana Vankayala; Justin K White; H Lee Woodcock Journal: J Chem Theory Comput Date: 2014-01-10 Impact factor: 6.006