Literature DB >> 21149688

Structural space of protein-protein interfaces is degenerate, close to complete, and highly connected.

Mu Gao1, Jeffrey Skolnick.   

Abstract

At the heart of protein-protein interactions are protein-protein interfaces where the direct physical interactions occur. By developing and applying an efficient structural alignment method, we study the structural similarity of representative protein-protein interfaces involving interactions between dimers. Even without structural similarity between individual monomers that form dimeric complexes, ∼90% of native interfaces have a close structural neighbor with similar backbone C(α) geometry and interfacial contact pattern. About 80% of the interfaces form a dense network, where any two interfaces are structurally related using a transitive set of at most seven intermediate interfaces. The degeneracy of interface space is largely due to the packing of compact, hydrogen-bonded secondary structure elements. This packing generates relatively flat interacting surfaces whose geometries are highly degenerate. Comparative study of artificial and native interfaces argues that the library of protein interfaces is close to complete and comprised of roughly 1,000 distinct interface types. In contrast, the number of possible quaternary structures of dimers is estimated to be about 10(4) times larger; thus, an experimentally determined database of all representative quaternary structures is not likely in the near future. Nevertheless, one could in principle exploit the completeness of protein interfaces to predict most dimeric quaternary structures. Finally, our results provide a structural explanation for the prevalence of promiscuous protein interactions. By side-chain packing adjustments, we illustrate how multiprotein specificity can be attained at a promiscuous interface.

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Year:  2010        PMID: 21149688      PMCID: PMC3012513          DOI: 10.1073/pnas.1012820107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  31 in total

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Authors:  Joël Janin; Ranjit P Bahadur; Pinak Chakrabarti
Journal:  Q Rev Biophys       Date:  2008-05       Impact factor: 5.318

4.  A dataset of protein-protein interfaces generated with a sequence-order-independent comparison technique.

Authors:  C J Tsai; S L Lin; H J Wolfson; R Nussinov
Journal:  J Mol Biol       Date:  1996-07-26       Impact factor: 5.469

5.  VMD: visual molecular dynamics.

Authors:  W Humphrey; A Dalke; K Schulten
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Review 6.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

Authors:  S F Altschul; T L Madden; A A Schäffer; J Zhang; Z Zhang; W Miller; D J Lipman
Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

7.  Modelling protein docking using shape complementarity, electrostatics and biochemical information.

Authors:  H A Gabb; R M Jackson; M J Sternberg
Journal:  J Mol Biol       Date:  1997-09-12       Impact factor: 5.469

8.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

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Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

Review 9.  Principles of protein-protein interactions.

Authors:  S Jones; J M Thornton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-01-09       Impact factor: 11.205

10.  TM-align: a protein structure alignment algorithm based on the TM-score.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Nucleic Acids Res       Date:  2005-04-22       Impact factor: 16.971

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  62 in total

1.  The distribution of ligand-binding pockets around protein-protein interfaces suggests a general mechanism for pocket formation.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-21       Impact factor: 11.205

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Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

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5.  Integrating ab initio and template-based algorithms for protein-protein complex structure prediction.

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Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

Review 6.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
Journal:  Methods       Date:  2017-08-09       Impact factor: 3.608

Review 7.  Low-resolution structural modeling of protein interactome.

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Journal:  Curr Opin Struct Biol       Date:  2013-01-05       Impact factor: 6.809

Review 8.  Toward a "structural BLAST": using structural relationships to infer function.

Authors:  Fabian Dey; Qiangfeng Cliff Zhang; Donald Petrey; Barry Honig
Journal:  Protein Sci       Date:  2013-02-21       Impact factor: 6.725

9.  APoc: large-scale identification of similar protein pockets.

Authors:  Mu Gao; Jeffrey Skolnick
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10.  On the role of physics and evolution in dictating protein structure and function.

Authors:  Jeffrey Skolnick; Mu Gao; Hongyi Zhou
Journal:  Isr J Chem       Date:  2014-08-01       Impact factor: 3.333

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