Literature DB >> 16280621

Combinatorial docking approach for structure prediction of large proteins and multi-molecular assemblies.

Yuval Inbar1, Hadar Benyamini, Ruth Nussinov, Haim J Wolfson.   

Abstract

Protein folding and protein binding are similar processes. In both, structural units combinatorially associate with each other. In the case of folding, we mostly handle relatively small units, building blocks or domains, that are covalently linked. In the case of multi-molecular binding, the subunits are relatively large and are associated only by non-covalent bonds. Experimentally, the difficulty in the determination of the structures of such large assemblies increases with the complex size and the number of components it contains. Computationally, the prediction of the structures of multi-molecular complexes has largely not been addressed, probably owing to the magnitude of the combinatorial complexity of the problem. Current docking algorithms mostly target prediction of pairwise interactions. Here our goal is to predict the structures of multi-unit associations, whether these are chain-connected as in protein folding, or separate disjoint molecules in the assemblies. We assume that the structures of the single units are known, either through experimental determination or modeling. Our aim is to combinatorially assemble these units to predict their structure. To address this problem we have developed CombDock. CombDock is a combinatorial docking algorithm for the structural units assembly problem. Below, we briefly describe the algorithm and present examples of its various applications to folding and to multi-molecular assemblies. To test the robustness of the algorithm, we use inaccurate models of the structural units, derived either from crystal structures of unbound molecules or from modeling of the target sequences. The algorithm has been able to predict near-native arrangements of the input structural units in almost all of the cases, suggesting that a combinatorial approach can overcome the imperfect shape complementarity caused by the inaccuracy of the models. In addition, we further show that through a combinatorial docking strategy it is possible to enhance the predictions of pairwise interactions involved in a multi-molecular assembly.

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Year:  2005        PMID: 16280621     DOI: 10.1088/1478-3975/2/4/S10

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  16 in total

Review 1.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

2.  Prediction of structures of multidomain proteins from structures of the individual domains.

Authors:  Andrew M Wollacott; Alexandre Zanghellini; Paul Murphy; David Baker
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

3.  Structure prediction of domain insertion proteins from structures of individual domains.

Authors:  Monica Berrondo; Marc Ostermeier; Jeffrey J Gray
Journal:  Structure       Date:  2008-04       Impact factor: 5.006

4.  AIDA: ab initio domain assembly for automated multi-domain protein structure prediction and domain-domain interaction prediction.

Authors:  Dong Xu; Lukasz Jaroszewski; Zhanwen Li; Adam Godzik
Journal:  Bioinformatics       Date:  2015-02-19       Impact factor: 6.937

Review 5.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

6.  SAXSDom: Modeling multidomain protein structures using small-angle X-ray scattering data.

Authors:  Jie Hou; Badri Adhikari; John J Tanner; Jianlin Cheng
Journal:  Proteins       Date:  2019-12-27

7.  Accounting for large amplitude protein deformation during in silico macromolecular docking.

Authors:  Karine Bastard; Adrien Saladin; Chantal Prévost
Journal:  Int J Mol Sci       Date:  2011-02-22       Impact factor: 5.923

8.  Protein docking prediction using predicted protein-protein interface.

Authors:  Bin Li; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2012-01-10       Impact factor: 3.169

9.  Structural assembly of two-domain proteins by rigid-body docking.

Authors:  Tammy M K Cheng; Tom L Blundell; Juan Fernandez-Recio
Journal:  BMC Bioinformatics       Date:  2008-10-16       Impact factor: 3.169

10.  A Framework to Simplify Combined Sampling Strategies in Rosetta.

Authors:  Justin R Porter; Brian D Weitzner; Oliver F Lange
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

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