Evidence map›Paper›PMID 21870864›Full record

ArticleJournal of chemical information and modeling2011

Solvent interaction energy calculations on molecular dynamics trajectories: increasing the efficiency using systematic frame selection.

Markus A Lill, Jared J Thompson

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. Variability in docking success rates due to dataset preparation.Journal of computer-aided molecular design · 2012
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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

2 authors.

Markus A LillDepartment of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, Indiana 47907, United States. mlill@purdue.edu
Jared J Thompson

Funding

Novel Computational Methods for Modeling Cytochrome P450 Mediated Drug MetabolismR01GM092855 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2010 to 2014
$1.1M
Dynamic Scoring: A novel method for quantitative modeling of guest-host associatiR21GM085604 · NIGMS · PURDUE UNIVERSITY · PI LILL, MARKUS ALEXANDER · 2008 to 2009
$346k
NIGMS NIH HHS GM085604NIGMS NIH HHS GM092855NIGMS NIH HHS R01 GM092855NIGMS NIH HHS R21 GM085604
6 · The paper itself

Abstract

End-point methods such as linear interaction energy (LIE) analysis, molecular mechanics generalized Born solvent-accessible surface (MM/GBSA), and solvent interaction energy (SIE) analysis have become popular techniques to calculate the free energy associated with protein-ligand binding. Such methods typically use molecular dynamics (MD) simulations to generate an ensemble of protein structures that encompasses the bound and unbound states. The energy evaluation method (LIE, MM/GBSA, or SIE) is subsequently used to calculate the energy of each member of the ensemble, thus providing an estimate of the average free energy difference between the bound and unbound states. The workflow requiring both MD simulation and energy calculation for each frame and each trajectory proves to be computationally expensive. In an attempt to reduce the high computational cost associated with end-point methods, we study several methods by which frames may be intelligently selected from the MD simulation including clustering and address the question of how the number of selected frames influences the accuracy of the SIE calculations.

Indexed as

Molecular Dynamics SimulationLigandsProteinsSolventsThermodynamicsLigandsProteinsSolvents

Identifiers

PMID21870864
PMCPMC3212856

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Registered trials

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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.