Literature DB >> 22488467

Multi-LZerD: multiple protein docking for asymmetric complexes.

Juan Esquivel-Rodríguez1, Yifeng David Yang, Daisuke Kihara.   

Abstract

The tertiary structures of protein complexes provide a crucial insight about the molecular mechanisms that regulate their functions and assembly. However, solving protein complex structures by experimental methods is often more difficult than single protein structures. Here, we have developed a novel computational multiple protein docking algorithm, Multi-LZerD, that builds models of multimeric complexes by effectively reusing pairwise docking predictions of component proteins. A genetic algorithm is applied to explore the conformational space followed by a structure refinement procedure. Benchmark on eleven hetero-multimeric complexes resulted in near-native conformations for all but one of them (a root mean square deviation smaller than 2.5Å). We also show that our method copes with unbound docking cases well, outperforming the methodology that can be directly compared with our approach. Multi-LZerD was able to predict near-native structures for multimeric complexes of various topologies.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22488467      PMCID: PMC3370124          DOI: 10.1002/prot.24079

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  38 in total

1.  Effective energy function for proteins in solution.

Authors:  T Lazaridis; M Karplus
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Journal:  J Mol Biol       Date:  2003-08-01       Impact factor: 5.469

5.  MUSCLE: multiple sequence alignment with high accuracy and high throughput.

Authors:  Robert C Edgar
Journal:  Nucleic Acids Res       Date:  2004-03-19       Impact factor: 16.971

6.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

7.  Prediction of multimolecular assemblies by multiple docking.

Authors:  Yuval Inbar; Hadar Benyamini; Ruth Nussinov; Haim J Wolfson
Journal:  J Mol Biol       Date:  2005-04-13       Impact factor: 5.469

8.  Determination of atomic desolvation energies from the structures of crystallized proteins.

Authors:  C Zhang; G Vasmatzis; J L Cornette; C DeLisi
Journal:  J Mol Biol       Date:  1997-04-04       Impact factor: 5.469

9.  Solvation energy in protein folding and binding.

Authors:  D Eisenberg; A D McLachlan
Journal:  Nature       Date:  1986 Jan 16-22       Impact factor: 49.962

10.  Hydrogen bonding and molecular surface shape complementarity as a basis for protein docking.

Authors:  M Meyer; P Wilson; D Schomburg
Journal:  J Mol Biol       Date:  1996-11-22       Impact factor: 5.469

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  32 in total

Review 1.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
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2.  Computational Methods for Predicting Protein-Protein Interactions Using Various Protein Features.

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Journal:  Curr Protoc Protein Sci       Date:  2018-06-21

Review 3.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

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Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

4.  Performance and enhancement of the LZerD protein assembly pipeline in CAPRI 38-46.

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5.  Improved performance in CAPRI round 37 using LZerD docking and template-based modeling with combined scoring functions.

Authors:  Lenna X Peterson; Woong-Hee Shin; Hyungrae Kim; Daisuke Kihara
Journal:  Proteins       Date:  2017-09-11

6.  Assessment of protein side-chain conformation prediction methods in different residue environments.

Authors:  Lenna X Peterson; Xuejiao Kang; Daisuke Kihara
Journal:  Proteins       Date:  2014-03-31

7.  Protein docking model evaluation by 3D deep convolutional neural networks.

Authors:  Xiao Wang; Genki Terashi; Charles W Christoffer; Mengmeng Zhu; Daisuke Kihara
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8.  Ranking protein-protein docking results using steered molecular dynamics and potential of mean force calculations.

Authors:  Laura J Kingsley; Juan Esquivel-Rodríguez; Ying Yang; Daisuke Kihara; Markus A Lill
Journal:  J Comput Chem       Date:  2016-05-27       Impact factor: 3.376

9.  Computational methods for constructing protein structure models from 3D electron microscopy maps.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Struct Biol       Date:  2013-06-21       Impact factor: 2.867

10.  Human and server docking prediction for CAPRI round 30-35 using LZerD with combined scoring functions.

Authors:  Lenna X Peterson; Hyungrae Kim; Juan Esquivel-Rodriguez; Amitava Roy; Xusi Han; Woong-Hee Shin; Jian Zhang; Genki Terashi; Matt Lee; Daisuke Kihara
Journal:  Proteins       Date:  2016-10-14
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