Literature DB >> 30003468

Inhibition of protein interactions: co-crystalized protein-protein interfaces are nearly as good as holo proteins in rigid-body ligand docking.

Saveliy Belkin1, Petras J Kundrotas2, Ilya A Vakser3,4.   

Abstract

Modulating protein interaction pathways may lead to the cure of many diseases. Known protein-protein inhibitors bind to large pockets on the protein-protein interface. Such large pockets are detected also in the protein-protein complexes without known inhibitors, making such complexes potentially druggable. The inhibitor-binding site is primary defined by the side chains that form the largest pocket in the protein-bound conformation. Low-resolution ligand docking shows that the success rate for the protein-bound conformation is close to the one for the ligand-bound conformation, and significantly higher than for the apo conformation. The conformational change on the protein interface upon binding to the other protein results in a pocket employed by the ligand when it binds to that interface. This proof-of-concept study suggests that rather than using computational pocket-opening procedures, one can opt for an experimentally determined structure of the target co-crystallized protein-protein complex as a starting point for drug design.

Entities:  

Keywords:  Conformational properties; Drug design; Ligand–receptor interaction; Molecular modeling; Molecular recognition

Mesh:

Substances:

Year:  2018        PMID: 30003468      PMCID: PMC6640133          DOI: 10.1007/s10822-018-0124-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  60 in total

1.  The Protein Data Bank.

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

2.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

3.  Templates are available to model nearly all complexes of structurally characterized proteins.

Authors:  Petras J Kundrotas; Zhengwei Zhu; Joël Janin; Ilya A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

4.  Global and local structural similarity in protein-protein complexes: implications for template-based docking.

Authors:  Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2013-10-17

5.  Atomic interactions and profile of small molecules disrupting protein-protein interfaces: the TIMBAL database.

Authors:  Alícia P Higueruelo; Adrian Schreyer; G Richard J Bickerton; Will R Pitt; Colin R Groom; Tom L Blundell
Journal:  Chem Biol Drug Des       Date:  2009-11       Impact factor: 2.817

6.  Hot spots and transient pockets: predicting the determinants of small-molecule binding to a protein-protein interface.

Authors:  Alexander Metz; Christopher Pfleger; Hannes Kopitz; Stefania Pfeiffer-Marek; Karl-Heinz Baringhaus; Holger Gohlke
Journal:  J Chem Inf Model       Date:  2011-12-27       Impact factor: 4.956

7.  Can self-inhibitory peptides be derived from the interfaces of globular protein-protein interactions?

Authors:  Nir London; Barak Raveh; Dana Movshovitz-Attias; Ora Schueler-Furman
Journal:  Proteins       Date:  2010-11-15

8.  Accuracy of functional surfaces on comparatively modeled protein structures.

Authors:  Jieling Zhao; Joe Dundas; Sema Kachalo; Zheng Ouyang; Jie Liang
Journal:  J Struct Funct Genomics       Date:  2011-05-04

9.  2P2Idb: a structural database dedicated to orthosteric modulation of protein-protein interactions.

Authors:  Marie Jeanne Basse; Stéphane Betzi; Raphaël Bourgeas; Sofia Bouzidi; Bernard Chetrit; Véronique Hamon; Xavier Morelli; Philippe Roche
Journal:  Nucleic Acids Res       Date:  2012-11-30       Impact factor: 16.971

10.  DARS-RNP and QUASI-RNP: new statistical potentials for protein-RNA docking.

Authors:  Irina Tuszynska; Janusz M Bujnicki
Journal:  BMC Bioinformatics       Date:  2011-08-18       Impact factor: 3.169

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  1 in total

1.  Docking-based identification of small-molecule binding sites at protein-protein interfaces.

Authors:  Mireia Rosell; Juan Fernández-Recio
Journal:  Comput Struct Biotechnol J       Date:  2020-11-21       Impact factor: 7.271

  1 in total

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