Literature DB >> 7674306

Molecular surface complementarity at protein-protein interfaces: the critical role played by surface normals at well placed, sparse, points in docking.

R Norel1, S L Lin, H J Wolfson, R Nussinov.   

Abstract

Rigid-body docking of two molecules involves matching of their surfaces. A successful docking methodology considers two key issues: molecular surface representation, and matching. While approaches to the problem differ, they all employ certain surface geometric features. While surface normals are routinely created with molecular surfaces, their employment has surprisingly been almost completely overlooked. Here we show how the normals to the surface, at specific, well placed points, can play a critical role in molecular docking. If the points for which the normals are calculated represent faithfully and accurately the molecular surfaces, the normals can substantially ameliorate the efficiency of the docking in a number of ways. The normals can drastically reduce the combinatorial complexity of the receptor-ligand docking. Furthermore, they can serve as a powerful filter in screening for quality docked conformations. Below we show how deploying such a straight forward device, which is easy to calculate, large protein-protein molecules are docked with unparalleled short times and with a manageable number of potential solutions. Considering the facts that here we dock (1) two large protein molecules, including several large immunoglobulin-lysozyme complexes; (2) that we use the entire molecular surfaces, without a predefinition of the active sites, or of the epitopes, of neither the ligand nor the receptor; that (3) the docking is completely automated, without any labelling, or pre-specification, of the input structural database, and (4) with a single set of parameters, without any further tuning whatsoever, such results are highly desirable. This approach is specifically geared towards matching of the surfaces of large protein molecules and is not applicable to small molecule drugs.

Mesh:

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Year:  1995        PMID: 7674306     DOI: 10.1006/jmbi.1995.0493

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  18 in total

Review 1.  Folding funnels, binding funnels, and protein function.

Authors:  C J Tsai; S Kumar; B Ma; R Nussinov
Journal:  Protein Sci       Date:  1999-06       Impact factor: 6.725

2.  Deciphering common failures in molecular docking of ligand-protein complexes.

Authors:  G M Verkhivker; D Bouzida; D K Gehlhaar; P A Rejto; S Arthurs; A B Colson; S T Freer; V Larson; B A Luty; T Marrone; P W Rose
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

Review 3.  Folding and binding cascades: dynamic landscapes and population shifts.

Authors:  S Kumar; B Ma; C J Tsai; N Sinha; R Nussinov
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

4.  Modeling and docking the endothelin G-protein-coupled receptor.

Authors:  A J Orry; B A Wallace
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

5.  Electrostatic contributions to protein-protein interactions: fast energetic filters for docking and their physical basis.

Authors:  R Norel; F Sheinerman; D Petrey; B Honig
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

6.  Protein-protein docking with multiple residue conformations and residue substitutions.

Authors:  David M Lorber; Maria K Udo; Brian K Shoichet
Journal:  Protein Sci       Date:  2002-06       Impact factor: 6.725

7.  Prediction of protein-protein binding free energies.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Protein Sci       Date:  2012-02-02       Impact factor: 6.725

8.  F2Dock: fast Fourier protein-protein docking.

Authors:  Chandrajit Bajaj; Rezaul Chowdhury; Vinay Siddavanahalli
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2011 Jan-Mar       Impact factor: 3.710

9.  Evaluating template-based and template-free protein-protein complex structure prediction.

Authors:  Thom Vreven; Howook Hwang; Brian G Pierce; Zhiping Weng
Journal:  Brief Bioinform       Date:  2013-07-01       Impact factor: 11.622

10.  Tracking molecular recognition at the atomic level with a new protein scaffold based on the OB-fold.

Authors:  John D Steemson; Matthias Baake; Jasna Rakonjac; Vickery L Arcus; Mark T Liddament
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

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