Literature DB >> 23813626

VinaMPI: facilitating multiple receptor high-throughput virtual docking on high-performance computers.

Sally R Ellingson1, Jeremy C Smith, Jerome Baudry.   

Abstract

The program VinaMPI has been developed to enable massively large virtual drug screens on leadership-class computing resources, using a large number of cores to decrease the time-to-completion of the screen. VinaMPI is a massively parallel Message Passing Interface (MPI) program based on the multithreaded virtual docking program AutodockVina, and is used to distribute tasks while multithreading is used to speed-up individual docking tasks. VinaMPI uses a distribution scheme in which tasks are evenly distributed to the workers based on the complexity of each task, as defined by the number of rotatable bonds in each chemical compound investigated. VinaMPI efficiently handles multiple proteins in a ligand screen, allowing for high-throughput inverse docking that presents new opportunities for improving the efficiency of the drug discovery pipeline. VinaMPI successfully ran on 84,672 cores with a continual decrease in job completion time with increasing core count. The ratio of the number of tasks in a screening to the number of workers should be at least around 100 in order to have a good load balance and an optimal job completion time. The code is freely available and downloadable. Instructions for downloading and using the code are provided in the Supporting Information. 2013 Wiley Periodicals, Inc.

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Year:  2013        PMID: 23813626     DOI: 10.1002/jcc.23367

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  16 in total

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Authors:  Somayeh Pirhadi; Jocelyn Sunseri; David Ryan Koes
Journal:  J Mol Graph Model       Date:  2016-07-30       Impact factor: 2.518

2.  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

3.  Identification of Binding Sites for Efflux Pump Inhibitors of the AcrAB-TolC Component AcrA.

Authors:  Zbigniew M Darzynkiewicz; Adam T Green; Narges Abdali; Anthony Hazel; Ronnie L Fulton; Joseph Kimball; Zygmunt Gryczynski; James C Gumbart; Jerry M Parks; Jeremy C Smith; Helen I Zgurskaya
Journal:  Biophys J       Date:  2019-01-12       Impact factor: 4.033

4.  Identification and Structure-Activity Relationships of Novel Compounds that Potentiate the Activities of Antibiotics in Escherichia coli.

Authors:  Keith M Haynes; Narges Abdali; Varsha Jhawar; Helen I Zgurskaya; Jerry M Parks; Adam T Green; Jerome Baudry; Valentin V Rybenkov; Jeremy C Smith; John K Walker
Journal:  J Med Chem       Date:  2017-07-11       Impact factor: 7.446

5.  Reviving Antibiotics: Efflux Pump Inhibitors That Interact with AcrA, a Membrane Fusion Protein of the AcrAB-TolC Multidrug Efflux Pump.

Authors:  Narges Abdali; Jerry M Parks; Keith M Haynes; Julie L Chaney; Adam T Green; David Wolloscheck; John K Walker; Valentin V Rybenkov; Jerome Baudry; Jeremy C Smith; Helen I Zgurskaya
Journal:  ACS Infect Dis       Date:  2016-11-02       Impact factor: 5.084

6.  The RelB-BLNK Axis Determines Cellular Response to a Novel Redox-Active Agent Betamethasone during Radiation Therapy in Prostate Cancer.

Authors:  Luksana Chaiswing; Fangfang Xu; Yanming Zhao; Jon Thorson; Chi Wang; Daheng He; Jinpeng Lu; Sally R Ellingson; Weixiong Zhong; Kristy Meyer; Wei Luo; William St Clair; Daret St Clair
Journal:  Int J Mol Sci       Date:  2022-06-08       Impact factor: 6.208

7.  Ensemble-based docking: From hit discovery to metabolism and toxicity predictions.

Authors:  Wilfredo Evangelista; Rebecca L Weir; Sally R Ellingson; Jason B Harris; Karan Kapoor; Jeremy C Smith; Jerome Baudry
Journal:  Bioorg Med Chem       Date:  2016-07-29       Impact factor: 3.641

Review 8.  Ensemble Docking in Drug Discovery.

Authors:  Rommie E Amaro; Jerome Baudry; John Chodera; Özlem Demir; J Andrew McCammon; Yinglong Miao; Jeremy C Smith
Journal:  Biophys J       Date:  2018-03-30       Impact factor: 4.033

9.  1001 Ways to run AutoDock Vina for virtual screening.

Authors:  Mohammad Mahdi Jaghoori; Boris Bleijlevens; Silvia D Olabarriaga
Journal:  J Comput Aided Mol Des       Date:  2016-02-20       Impact factor: 3.686

10.  Structure based virtual screening identifies small molecule effectors for the sialoglycan binding protein Hsa.

Authors:  Rupesh Agarwal; Barbara A Bensing; Dehui Mi; Paige N Vinson; Jerome Baudry; Tina M Iverson; Jeremy C Smith
Journal:  Biochem J       Date:  2020-10-16       Impact factor: 3.766

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