Evidence map›Paper›PMID 23197420›Full record

ArticleJournal of computational chemistry2013

(Ala)(4)-X-(Ala)4 as a model system for the optimization of the χ1 and χ2 amino acid side-chain dihedral empirical force field parameters.

Jihyun Shim, Xiao Zhu, Robert B Best, Alexander D MacKerell

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Current status of protein force fields for molecular dynamics simulations.Methods in molecular biology (Clifton, N.J.) · 2015
    Article
  5. Article
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

4 authors.

Jihyun ShimDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, 20 Penn St., Baltimore, MD 21201, USA.
Xiao Zhu
Robert B Best
Alexander D MacKerell

Funding

Understanding protein folding, evolution and function via molecular simulationZIADK075104 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BEST, ROBERT · 2013 to 2025
$13.7M
Polarizable Force Field for Proteins and LipidsR01GM072558 · NIGMS · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI ROUX, BENOIT · 2005 to 2023
$5.1M
Oligonucleotide Conformational HeterogeneityR01GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D · 2003 to 2018
$3.6M
OPIOIDS WITH DELTA ANTAGONIST AND MU AGONIST ACTIVITYR01DA013583 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI COOP, ANDREW · 2001 to 2012
$2.5M
HALOGEN FREE ENERGY DATABASE FOR RATIONAL DRUG DESIGNR29GM051501 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI MACKERELL, ALEXANDER D. · 1996 to 2000
$108k
NIDA NIH HHS DA13583NIDA NIH HHS R01 DA013583NIGMS NIH HHS GM051501NIGMS NIH HHS GM072558NIGMS NIH HHS R01 GM051501NIGMS NIH HHS R01 GM072558NIGMS NIH HHS R29 GM051501
6 · The paper itself

Abstract

Amino acid side-chain fluctuations play an essential role in the structure and function of proteins. Accordingly, in theoretical studies of proteins, it is important to have an accurate description of their conformational properties. Recently, new side-chain torsion parameters were introduced into the CHARMM and Amber additive force fields and evaluated based on the conformational properties of the individual side-chains using protein simulations in explicit solvent. While effective for validation, molecular dynamics simulations of proteins must be extended into the microsecond regime to obtain full convergence of the side-chain conformations, limiting their use for force field optimization. To address this, we systematically test the utility of explicit solvent simulations of (Ala)(4)-X-(Ala)(4) peptides, where X represents the amino acids, as model systems for the optimization of χ(1) and χ(2) side-chain parameters. The effect of (Ala)(4)-X-(Ala)(4) backbone conformation was tested by constraining the backbone in the α-helical, C5, C7(eq), and PPII conformations and performing exhaustive sampling using Hamiltonian replica exchange simulations. Rotamer distributions from protein and the (Ala)(4)-X-(Ala)(4) simulations showed the highest correlation for the C7(eq) and PPII conformations, although agreement was the best for the α-helical conformation for Asn. Hydrogen bond analysis indicates the utility of the C7(eq) and PPII conformations to be due to specific side-chain-backbone hydrogen bonds not being oversampled, thereby allowing sampling of a range of side-chain conformations consistent with the distributions occurring in full proteins. It is anticipated that the (Ala)(4)-X-(Ala)(4) model system will allow for iterative force field optimization targeting condensed-phase conformational distributions of side-chains.

Indexed as

Molecular Dynamics SimulationAlanineModels, MolecularProtein ConformationProteinsAlanineProteins

Identifiers

PMID23197420
PMCPMC3570682

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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.