Evidence map›Paper›PMID 36142260›Full record

ReviewInternational journal of molecular sciences2022

Electrostatics in Computational Biophysics and Its Implications for Disease Effects.

Shengjie Sun, Pitambar Poudel, Emil Alexov, Lin Li

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 20 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

4 authors at 2 institutions in 1 country.

Shengjie SunComputational Science Program, The University of Texas at El Paso, 500 W University Avenue, El Paso, TX 79968, USA.
Pitambar PoudelDepartment of Physics and Astronomy, College of Science, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0001-8894-3342
Emil AlexovDepartment of Physics and Astronomy, College of Science, Clemson University, Clemson, SC 29634, USA.ORCID 0000-0001-5346-0156
Lin LiComputational Science Program, The University of Texas at El Paso, 500 W University Avenue, El Paso, TX 79968, USA.
Clemson University · USThe University of Texas at El Paso · US

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
DelPhi and associated resources: maintenance, development and applicationsR35GM151964 · NIGMS · CLEMSON UNIVERSITY · PI Emil Georgiev Alexov · 2024 to 2026
$1.1M
National Institute of Health 5U54MD007592National Institute of Health P20GM121342National Institute of Health R01GM093937National Institute of Health SC1GM132043NIGMS NIH HHS R01 GM093937NIGMS NIH HHS R35 GM151964
6 · The paper itself

Abstract

This review outlines the role of electrostatics in computational molecular biophysics and its implication in altering wild-type characteristics of biological macromolecules, and thus the contribution of electrostatics to disease mechanisms. The work is not intended to review existing computational approaches or to propose further developments. Instead, it summarizes the outcomes of relevant studies and provides a generalized classification of major mechanisms that involve electrostatic effects in both wild-type and mutant biological macromolecules. It emphasizes the complex role of electrostatics in molecular biophysics, such that the long range of electrostatic interactions causes them to dominate all other forces at distances larger than several Angstroms, while at the same time, the alteration of short-range wild-type electrostatic pairwise interactions can have pronounced effects as well. Because of this dual nature of electrostatic interactions, being dominant at long-range and being very specific at short-range, their implications for wild-type structure and function are quite pronounced. Therefore, any disruption of the complex electrostatic network of interactions may abolish wild-type functionality and could be the dominant factor contributing to pathogenicity. However, we also outline that due to the plasticity of biological macromolecules, the effect of amino acid mutation may be reduced, and thus a charge deletion or insertion may not necessarily be deleterious.

Indexed as

Amino AcidsProteinsBiophysicsStatic ElectricityAmino AcidsProteinscomputational biophysicsdisease mechanismelectrostaticsmutationspH-dependenceprotein–protein interactionsprotein stability

Identifiers

PMID36142260
PMCPMC9499338
OpenAlexW4294938701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.