Literature DB >> 25198248

Multi-conformer ensemble docking to difficult protein targets.

Sally R Ellingson1, Yinglong Miao, Jerome Baudry, Jeremy C Smith.   

Abstract

Large-scale ensemble docking is investigated using five proteins from the Directory of Useful Decoys (DUD, dud.docking.org ) for which docking to crystal structures has proven difficult. Molecular dynamics trajectories are produced for each protein and an ensemble of representative conformational structures extracted from the trajectories. Docking calculations are performed on these selected simulation structures and ensemble-based enrichment factors compared with those obtained using docking in crystal structures of the same protein targets or random selection of compounds. Simulation-derived snapshots are found with improved enrichment factors that increase the chemical diversity of docking hits for four of the five selected proteins. A combination of all the docking results obtained from molecular dynamics simulation followed by selection of top-ranking compounds appears to be an effective strategy for increasing the number and diversity of hits when using docking to screen large libraries of chemicals against difficult protein targets.

Mesh:

Substances:

Year:  2014        PMID: 25198248     DOI: 10.1021/jp506511p

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  27 in total

1.  Small-molecule inhibitors identify the RAD52-ssDNA interaction as critical for recovery from replication stress and for survival of BRCA2 deficient cells.

Authors:  Sarah R Hengel; Eva Malacaria; Laura Folly da Silva Constantino; Fletcher E Bain; Andrea Diaz; Brandon G Koch; Liping Yu; Meng Wu; Pietro Pichierri; M Ashley Spies; Maria Spies
Journal:  Elife       Date:  2016-07-19       Impact factor: 8.140

2.  POVME 3.0: Software for Mapping Binding Pocket Flexibility.

Authors:  Jeffrey R Wagner; Jesper Sørensen; Nathan Hensley; Celia Wong; Clare Zhu; Taylor Perison; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2017-08-30       Impact factor: 6.006

Review 3.  Microscopic Characterization of Membrane Transporter Function by In Silico Modeling and Simulation.

Authors:  J V Vermaas; N Trebesch; C G Mayne; S Thangapandian; M Shekhar; P Mahinthichaichan; J L Baylon; T Jiang; Y Wang; M P Muller; E Shinn; Z Zhao; P-C Wen; E Tajkhorshid
Journal:  Methods Enzymol       Date:  2016-07-11       Impact factor: 1.600

Review 4.  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

5.  Ensemble docking to difficult targets in early-stage drug discovery: Methodology and application to fibroblast growth factor 23.

Authors:  Hector A Velazquez; Demian Riccardi; Zhousheng Xiao; Leigh Darryl Quarles; Charless Ryan Yates; Jerome Baudry; Jeremy C Smith
Journal:  Chem Biol Drug Des       Date:  2017-11-03       Impact factor: 2.817

6.  Performance of multiple docking and refinement methods in the pose prediction D3R prospective Grand Challenge 2016.

Authors:  Xavier Fradera; Andreas Verras; Yuan Hu; Deping Wang; Hongwu Wang; James I Fells; Kira A Armacost; Alejandro Crespo; Brad Sherborne; Huijun Wang; Zhengwei Peng; Ying-Duo Gao
Journal:  J Comput Aided Mol Des       Date:  2017-09-14       Impact factor: 3.686

7.  Using machine learning to improve ensemble docking for drug discovery.

Authors:  Tanay Chandak; John P Mayginnes; Howard Mayes; Chung F Wong
Journal:  Proteins       Date:  2020-05-25

8.  Discovery of multidrug efflux pump inhibitors with a novel chemical scaffold.

Authors:  Adam T Green; Mohammad Moniruzzaman; Connor J Cooper; John K Walker; Jeremy C Smith; Jerry M Parks; Helen I Zgurskaya
Journal:  Biochim Biophys Acta Gen Subj       Date:  2020-02-04       Impact factor: 3.770

9.  Ultra-High-Throughput Structure-Based Virtual Screening for Small-Molecule Inhibitors of Protein-Protein Interactions.

Authors:  David K Johnson; John Karanicolas
Journal:  J Chem Inf Model       Date:  2016-01-14       Impact factor: 4.956

10.  Enhancing Virtual Screening Performance of Protein Kinases with Molecular Dynamics Simulations.

Authors:  Tavina L Offutt; Robert V Swift; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2016-10-03       Impact factor: 4.956

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.