Literature DB >> 17523154

FLIPDock: docking flexible ligands into flexible receptors.

Yong Zhao1, Michel F Sanner.   

Abstract

Conformational changes of biological macromolecules when binding with ligands have long been observed and remain a challenge for automated docking methods. Here we present a novel protein-ligand docking software called FLIPDock (Flexible LIgand-Protein Docking) allowing the automated docking of flexible ligand molecules into active sites of flexible receptor molecules. In FLIPDock, conformational spaces of molecules are encoded using a data structure that we have developed recently called the Flexibility Tree (FT). While the FT can represent fully flexible ligands, it was initially designed as a hierarchical and multiresolution data structure for the selective encoding of conformational subspaces of large biological macromolecules. These conformational subspaces can be built to span a range of conformations important for the biological activity of a protein. A variety of motions can be combined, ranging from domains moving as rigid bodies or backbone atoms undergoing normal mode-based deformations, to side chains assuming rotameric conformations. In addition, these conformational subspaces are parameterized by a small number of variables which can be searched during the docking process, thus effectively modeling the conformational changes in a flexible receptor. FLIPDock searches the variables using genetic algorithm-based search techniques and evaluates putative docking complexes with a scoring function based on the AutoDock3.05 force-field. In this paper, we describe the concepts behind FLIPDock and the overall architecture of the program. We demonstrate FLIPDock's ability to solve docking problems in which the assumption of a rigid receptor previously prevented the successful docking of known ligands. In particular, we repeat an earlier cross docking experiment and demonstrate an increased success rate of 93.5%, compared to original 72% success rate achieved by AutoDock over the 400 cross-docking calculations. We also demonstrate FLIPDock's ability to handle conformational changes involving backbone motion by docking balanol to an adenosine-binding pocket of protein kinase A.

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Year:  2007        PMID: 17523154     DOI: 10.1002/prot.21423

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


  30 in total

Review 1.  Structure-based discovery of antibacterial drugs.

Authors:  Katie J Simmons; Ian Chopra; Colin W G Fishwick
Journal:  Nat Rev Microbiol       Date:  2010-07       Impact factor: 60.633

2.  Protein-Protein Docking Using EMAP in CHARMM and Support Vector Machine: Application to Ab/Ag Complexes.

Authors:  Jon D Wright; Karen Sargsyan; Xiongwu Wu; Bernard R Brooks; Carmay Lim
Journal:  J Chem Theory Comput       Date:  2013-08-16       Impact factor: 6.006

3.  Protein-ligand docking with multiple flexible side chains.

Authors:  Yong Zhao; Michel F Sanner
Journal:  J Comput Aided Mol Des       Date:  2007-11-22       Impact factor: 3.686

Review 4.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

Review 5.  Flexible ligand docking to multiple receptor conformations: a practical alternative.

Authors:  Maxim Totrov; Ruben Abagyan
Journal:  Curr Opin Struct Biol       Date:  2008-02-25       Impact factor: 6.809

6.  Docking flexible peptide to flexible protein by molecular dynamics using two implicit-solvent models: an evaluation in protein kinase and phosphatase systems.

Authors:  Zunnan Huang; Chung F Wong
Journal:  J Phys Chem B       Date:  2009-10-29       Impact factor: 2.991

Review 7.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

8.  Q-Dock: Low-resolution flexible ligand docking with pocket-specific threading restraints.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2008-07-30       Impact factor: 3.376

9.  Conformational transitions upon ligand binding: holo-structure prediction from apo conformations.

Authors:  Daniel Seeliger; Bert L de Groot
Journal:  PLoS Comput Biol       Date:  2010-01-08       Impact factor: 4.475

10.  Automated docking screens: a feasibility study.

Authors:  John J Irwin; Brian K Shoichet; Michael M Mysinger; Niu Huang; Francesco Colizzi; Pascal Wassam; Yiqun Cao
Journal:  J Med Chem       Date:  2009-09-24       Impact factor: 7.446

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