Evidence map›Paper›PMID 28306259›Full record

ArticleThe journal of physical chemistry. B2017

Building a More Predictive Protein Force Field: A Systematic and Reproducible Route to AMBER-FB15.

Lee-Ping Wang, Keri A McKiernan, Joseph Gomes, Kyle A Beauchamp, Teresa Head-Gordon, Julia E Rice, William C Swope, Todd J Martínez, Vijay S Pande

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

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  17. Tuning Potential Functions to Host-Guest Binding Data.Journal of chemical theory and computation · 2024
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37 more citing papers are in PubMed but not listed here.

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

9 authors.

Lee-Ping WangDepartment of Chemistry, University of California, Davis , Davis, California 95616, United States.ORCID 0000-0003-3072-9946
Keri A McKiernanDepartment of Chemistry, Stanford University , Stanford, California 94305, United States.
Joseph GomesDepartment of Chemistry, Stanford University , Stanford, California 94305, United States.
Kyle A BeauchampCounsyl, Inc. , South San Francisco, California 94080, United States.
Teresa Head-GordonDepartments of Chemistry, Bioengineering, Chemical and Biomolecular Engineering, and Kenneth S. Pitzer Center for Theoretical Chemistry, University of California, Berkeley , Berkeley, California 94720, United States.ORCID 0000-0003-0025-8987
Julia E RiceIBM Almaden Research Center, IBM Research , San Jose, California 95120, United States.
William C SwopeIBM Almaden Research Center, IBM Research , San Jose, California 95120, United States.ORCID 0000-0002-5299-4145
Todd J MartínezDepartment of Chemistry, Stanford University , Stanford, California 94305, United States.ORCID 0000-0002-4798-8947
Vijay S PandeDepartment of Chemistry, Stanford University , Stanford, California 94305, United States.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
Topology, nucleation, and the protein folding barrierR01GM062868 · NIGMS · STANFORD UNIVERSITY · PI PANDE, VIJAY S · 2002 to 2018
$5.5M
NCI NIH HHS P30 CA008748NIAID NIH HHS U19 AI109662NIGMS NIH HHS R01 GM062868
6 · The paper itself

Abstract

The increasing availability of high-quality experimental data and first-principles calculations creates opportunities for developing more accurate empirical force fields for simulation of proteins. We developed the AMBER-FB15 protein force field by building a high-quality quantum chemical data set consisting of comprehensive potential energy scans and employing the ForceBalance software package for parameter optimization. The optimized potential surface allows for more significant thermodynamic fluctuations away from local minima. In validation studies where simulation results are compared to experimental measurements, AMBER-FB15 in combination with the updated TIP3P-FB water model predicts equilibrium properties with equivalent accuracy, and temperature dependent properties with significantly improved accuracy, in comparison with published models. We also discuss the effect of changing the protein force field and water model on the simulation results.

Indexed as

Databases, ProteinMolecular Dynamics SimulationProtein DenaturationProteinsQuantum TheorySoftwareThermodynamicsWaterProteinsWater

Identifiers

PMID28306259
PMCPMC9724927

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.