Evidence map›Paper›PMID 30758197›Full record

ArticleJournal of chemical information and modeling2019

Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network.

Junchao Xia, William Flynn, Emilio Gallicchio, Keith Uplinger, Jonathan D Armstrong, Stefano Forli, Arthur J Olson, Ronald M Levy

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Junchao XiaCenter for Biophysics and Computational Biology and Department of Physics , Temple University , Philadelphia , Pennsylvania 19122 , United States.ORCID 0000-0002-5026-2872
William FlynnCenter for Biophysics and Computational Biology and Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States.
Emilio GallicchioDepartment of Chemistry , CUNY Brooklyn College , Brooklyn , New York 11210 , United States.ORCID 0000-0002-2606-4913
Keith UplingerIBM WCG Team, 1177 South Belt Line Road , Coppell , Texas 75019 , United States.
Jonathan D ArmstrongIBM WCG Team, 11400 Burnet Road , 0453B129, Austin , Texas 78758 , United States.
Stefano ForliDepartment of Integrative Structural and Computational Biology , The Scripps Research Institute , La Jolla , California 92037-1000 , United States.ORCID 0000-0002-5964-7111
Arthur J OlsonDepartment of Integrative Structural and Computational Biology , The Scripps Research Institute , La Jolla , California 92037-1000 , United States.ORCID 0000-0003-0558-4618
Ronald M LevyCenter for Biophysics and Computational Biology and Department of Chemistry , Temple University , Philadelphia , Pennsylvania 19122 , United States.ORCID 0000-0001-8696-5177

Funding

X-ray Crystallographic Fragment Screening CoreU54AI150472 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI KVARATSKHELIA, MAMUKA · 2019 to 2021
$15.7M
X-ray Crystallographic Fragment Screening CoreU54GM103368 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SARAFIANOS, STEFAN G, TORBETT, BRUCE EDWARD · 2017 to 2018
$11.1M
DYNAMICS OF PEPTIDES AND PROTEINSR01GM030580 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 1985 to 2018
$6.1M
Computer Cluster for Computational Biology and BiophysicsS10OD020095 · OD · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 2015 to 2015
$442k
NIGMS NIH HHS R01 GM030580NIGMS NIH HHS U54 GM103368NIH HHS S10 OD020095
6 · The paper itself

Abstract

To perform massive-scale replica exchange molecular dynamics (REMD) simulations for calculating binding free energies of protein-ligand complexes, we implemented the asynchronous replica exchange (AsyncRE) framework of the binding energy distribution analysis method (BEDAM) in implicit solvent on the IBM World Community Grid (WCG) and optimized the simulation parameters to reduce the overhead and improve the prediction power of the WCG AsyncRE simulations. We also performed the first massive-scale binding free energy calculations using the WCG distributed computing grid and 301 ligands from the SAMPL4 challenge for large-scale binding free energy predictions of HIV-1 integrase complexes. In total there are ∼10000 simulated complexes, ∼1 million replicas, and ∼2000 μs of aggregated MD simulations. Running AsyncRE MD simulations on the WCG requires accepting a trade-off between the number of replicas that can be run (breadth) and the number of full RE cycles that can be completed per replica (depth). As compared with synchronous Replica Exchange (SyncRE) running on tightly coupled clusters like XSEDE, on the WCG many more replicas can be launched simultaneously on heterogeneous distributed hardware, but each full RE cycle requires more overhead. We compared the WCG results with that from AutoDock and more advanced RE simulations including the use of flattening potentials to accelerate sampling of selected degrees of freedom of ligands and/or receptors related to slow dynamics due to high energy barriers. We propose a suitable strategy of RE simulations to refine high throughput docking results which can be matched to corresponding computing resources: from HPC clusters, to small or medium-size distributed campus grids, and finally to massive-scale computing networks including millions of CPUs like the resources available on the WCG.

Indexed as

Computer Communication NetworksModels, MolecularHIV IntegraseLigandsProtein BindingProtein ConformationThermodynamicsHIV IntegraseLigandsp31 integrase protein, Human immunodeficiency virus 1

Identifiers

PMID30758197
PMCPMC6496938

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.