Evidence map›Paper›PMID 30633502›Full record

ArticleJournal of chemical theory and computation2019

Improvements to the ABSINTH Force Field for Proteins Based on Experimentally Derived Amino Acid Specific Backbone Conformational Statistics.

Jeong-Mo Choi, Rohit V Pappu

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

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3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

  1. Article
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  4. Coil-Library-Derived Amino-Acid-Specific Side-Chain χJournal of chemical theory and computation · 2025
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  5. Review
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  9. Thermodynamic modulation of gephyrin condensation by inhibitory synapse components.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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.

Jeong-Mo ChoiDepartment of Biomedical Engineering and Center for Biological Systems Engineering , Washington University in St. Louis , One Brookings Drive , Campus Box 1097, St. Louis , Missouri 63130 , United States.ORCID http://orcid.org/0000-0003-2656-4851
Rohit V PappuDepartment of Biomedical Engineering and Center for Biological Systems Engineering , Washington University in St. Louis , One Brookings Drive , Campus Box 1097, St. Louis , Missouri 63130 , United States.ORCID http://orcid.org/0000-0003-2568-1378

Funding

ROLE OF CHAIN LENGTH AND SEQUENCE CONTEXTS ON POLYGLUTAMINE OLIGOMERIZATIONR01NS056114 · NINDS · WASHINGTON UNIVERSITY · PI PAPPU, ROHIT V · 2007 to 2020
$4.4M
NINDS NIH HHS R01 NS056114
6 · The paper itself

Abstract

We present an improved version of the ABSINTH implicit solvation model and force field paradigm (termed ABSINTH-C) by incorporating a grid-based term that bootstraps against experimentally derived and computationally optimized conformational statistics for blocked amino acids. These statistics provide high-resolution descriptions of the intrinsic backbone dihedral angle preferences for all 20 amino acids. The original ABSINTH model generates Ramachandran plots that are too shallow in terms of the basin structures and too permissive in terms of dihedral angle preferences. We bootstrap against the reference optimized landscapes and incorporate CMAP-like residue-specific terms that help us reproduce the intrinsic dihedral angle preferences of individual amino acids. These corrections that lead to ABSINTH-C are achieved by balancing the incorporation of the new residue-specific terms with the accuracies inherent to the original ABSINTH model. We demonstrate the robustness of ABSINTH-C through a series of examples to highlight the preservation of accuracies as well as examples that demonstrate the improvements. Our efforts show how the recent experimentally derived and computationally optimized coil-library landscapes can be used as a touchstone for quantifying errors and making improvements to molecular mechanics force fields.

Indexed as

Amino AcidsComputer SimulationDatabases, ProteinModels, ChemicalPeptidesProtein ConformationProtein FoldingProteinsThermodynamicsAmino AcidsPeptidesProteins

Identifiers

PMID30633502
PMCPMC10749164

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.