Literature DB >> 16972285

ROSETTALIGAND: protein-small molecule docking with full side-chain flexibility.

Jens Meiler1, David Baker.   

Abstract

Protein-small molecule docking algorithms provide a means to model the structure of protein-small molecule complexes in structural detail and play an important role in drug development. In recent years the necessity of simulating protein side-chain flexibility for an accurate prediction of the protein-small molecule interfaces has become apparent, and an increasing number of docking algorithms probe different approaches to include protein flexibility. Here we describe a new method for docking small molecules into protein binding sites employing a Monte Carlo minimization procedure in which the rigid body position and orientation of the small molecule and the protein side-chain conformations are optimized simultaneously. The energy function comprises van der Waals (VDW) interactions, an implicit solvation model, an explicit orientation hydrogen bonding potential, and an electrostatics model. In an evaluation of the scoring function the computed energy correlated with experimental small molecule binding energy with a correlation coefficient of 0.63 across a diverse set of 229 protein- small molecule complexes. The docking method produced lowest energy models with a root mean square deviation (RMSD) smaller than 2 A in 71 out of 100 protein-small molecule crystal structure complexes (self-docking). In cross-docking calculations in which both protein side-chain and small molecule internal degrees of freedom were varied the lowest energy predictions had RMSDs less than 2 A in 14 of 20 test cases. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16972285     DOI: 10.1002/prot.21086

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


  190 in total

1.  A generalized approach to sampling backbone conformations with RosettaDock for CAPRI rounds 13-19.

Authors:  Aroop Sircar; Sidhartha Chaudhury; Krishna Praneeth Kilambi; Monica Berrondo; Jeffrey J Gray
Journal:  Proteins       Date:  2010-11-15

2.  Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

3.  Discrete molecular dynamics distinguishes nativelike binding poses from decoys in difficult targets.

Authors:  Elizabeth A Proctor; Shuangye Yin; Alexander Tropsha; Nikolay V Dokholyan
Journal:  Biophys J       Date:  2012-01-03       Impact factor: 4.033

4.  3-Formylchromone interacts with cysteine 38 in p65 protein and with cysteine 179 in IκBα kinase, leading to down-regulation of nuclear factor-κB (NF-κB)-regulated gene products and sensitization of tumor cells.

Authors:  Vivek R Yadav; Sahdeo Prasad; Subash C Gupta; Bokyung Sung; Sharangdhar S Phatak; Shuxing Zhang; Bharat B Aggarwal
Journal:  J Biol Chem       Date:  2011-11-07       Impact factor: 5.157

5.  Discovery and characterization of novel subtype-selective allosteric agonists for the investigation of M(1) receptor function in the central nervous system.

Authors:  Evan P Lebois; Thomas M Bridges; L Michelle Lewis; Eric S Dawson; Alexander S Kane; Zixiu Xiang; Satyawan B Jadhav; Huiyong Yin; J Phillip Kennedy; Jens Meiler; Colleen M Niswender; Carrie K Jones; P Jeffrey Conn; C David Weaver; Craig W Lindsley
Journal:  ACS Chem Neurosci       Date:  2010       Impact factor: 4.418

Review 6.  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

7.  Predicting Productive Binding Modes for Substrates and Carbocation Intermediates in Terpene Synthases-Bornyl Diphosphate Synthase as a Representative Case.

Authors:  Terrence E O'Brien; Steven J Bertolani; Yue Zhang; Justin B Siegel; Dean J Tantillo
Journal:  ACS Catal       Date:  2018-03-08       Impact factor: 13.084

8.  Improving inverse docking target identification with Z-score selection.

Authors:  Stephanie S Kim; Melanie L Aprahamian; Steffen Lindert
Journal:  Chem Biol Drug Des       Date:  2019-01-02       Impact factor: 2.817

9.  Identification of determinants required for agonistic and inverse agonistic ligand properties at the ADP receptor P2Y12.

Authors:  Philipp Schmidt; Lars Ritscher; Elizabeth N Dong; Thomas Hermsdorf; Maxi Cöster; Doreen Wittkopf; Jens Meiler; Torsten Schöneberg
Journal:  Mol Pharmacol       Date:  2012-10-23       Impact factor: 4.436

10.  α2A- and α2C-Adrenoceptors as Potential Targets for Dopamine and Dopamine Receptor Ligands.

Authors:  Marta Sánchez-Soto; Verònica Casadó-Anguera; Hideaki Yano; Brian Joseph Bender; Ning-Sheng Cai; Estefanía Moreno; Enric I Canela; Antoni Cortés; Jens Meiler; Vicent Casadó; Sergi Ferré
Journal:  Mol Neurobiol       Date:  2018-03-18       Impact factor: 5.590

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.