Evidence map›Paper›PMID 33591749›Full record

ReviewJournal of chemical information and modeling2021

Recent Force Field Strategies for Intrinsically Disordered Proteins.

Junxi Mu, Hao Liu, Jian Zhang, Ray Luo, Hai-Feng Chen

Open access · greenAbstract readReview
In one paragraph

Review in Journal of chemical information and modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

46 citing papers in PubMed, 124 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Junxi MuState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Hao LiuState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Jian ZhangKey Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, School of Medicine, Shanghai Jiao Tong University, Shanghai 20025, China.ORCID 0000-0002-6558-791X
Ray LuoDepartments of Molecular Biology and Biochemistry, Chemical and Molecular Engineering, Materials Science and Engineering, and Biomedical Engineering, University of California, Irvine, California 92697-3900, United States.ORCID 0000-0002-6346-8271
Hai-Feng ChenState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.ORCID 0000-0002-7496-4182
Shanghai Jiao Tong University · CNUniversity of California, Irvine · US

Funding

Multi-scaled Modeling of Electrostatic and Polarization Effects in BiomoleculesR35GM130367 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI RAY LUO · 2019 to 2026
$3.0M
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation Analysis ofBiomoleculesR01GM093040 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LUO, RAY · 2010 to 2018
$2.2M
NIGMS NIH HHS R35 GM130367
6 · The paper itself

Abstract

Intrinsically disordered proteins (IDPs) are widely distributed across eukaryotic cells, playing important roles in molecular recognition, molecular assembly, post-translational modification, and other biological processes. IDPs are also associated with many diseases such as cancers, cardiovascular diseases, and neurodegenerative diseases. Due to their structural flexibility, conventional experimental methods cannot reliably capture their heterogeneous structures. Molecular dynamics simulation becomes an important complementary tool to quantify IDP structures. This review covers recent force field strategies proposed for more accurate molecular dynamics simulations of IDPs. The strategies include adjusting dihedral parameters, adding grid-based energy correction map (CMAP) parameters, refining protein-water interactions, and others. Different force fields were found to perform well on specific observables of specific IDPs but also are limited in reproducing all available experimental observables consistently for all tested IDPs. We conclude the review with perspective areas for improvements for future force fields for IDPs.

Indexed as

Intrinsically Disordered ProteinsMolecular Dynamics SimulationProtein ConformationWaterIntrinsically Disordered ProteinsWaterAMBERCHARMMCMAPDihedral parametersForce fieldGROMOSIntrinsically disordered proteinsMolecular simulationsOPSL-AA

Identifiers

PMID33591749
PMCPMC8256680
OpenAlexW3130801441

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.