Evidence map›Paper›PMID 42494064›Full record

ArticleBiophysical journal2026

Electrostatics and disease: Large-scale assessment of human missense variants causing protein charge alterations and their implications for disease.

Nirav Modha, Shailesh Kumar Panday, Emil Alexov

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Nirav ModhaDepartment of Physics and Astronomy, Clemson University, 118 Kinard Laboratory, Clemson, SC 29634, USA; Medical Biophysics Graduate Program, Clemson University, 118 Kinard Laboratory, Clemson, SC 29634, USA.
Shailesh Kumar PandayDepartment of Physics and Astronomy, Clemson University, 118 Kinard Laboratory, Clemson, SC 29634, USA.
Emil AlexovDepartment of Physics and Astronomy, Clemson University, 118 Kinard Laboratory, Clemson, SC 29634, USA; Medical Biophysics Graduate Program, Clemson University, 118 Kinard Laboratory, Clemson, SC 29634, USA; Clemson University Center for Human Genetics, 106 Gregor Mendel Circle, Greenwood, SC 29646, USA. Electronic address: ealexov@clemson.edu.

Funding

DelPhi and associated resources: maintenance, development and applicationsR35GM151964 · NIGMS · CLEMSON UNIVERSITY · PI Emil Georgiev Alexov · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM151964
6 · The paper itself

Abstract

How do changes in electrical charge drive protein dysfunction and result in pathogenicity? This study investigates the relationship between charge-altering missense mutations and pathogenicity across a large-scale dataset, the Monogenic Genetic Disorder (MOGEDO) database. Using electrostatic energy calculations, we quantified the shift in interaction energy between the rest of the protein and either the wild-type or mutant residues. Our analysis shows that pathogenic variants are characterized by substantially larger electrostatic perturbations than their benign counterparts. We found that the outcome of a mutation is highly transition specific: because protein interiors tend to maintain a negative electrostatic potential, the introduction of acidic residues creates a destabilizing "energy penalty." Conversely, basic residues often result in stabilizing shifts. Structural context further shaped these effects: buried residues showed larger electrostatic perturbation values overall, and pathogenic variants were enriched at deeply buried sites, consistent with reduced solvent screening amplifying charge perturbations. Because electrostatic interactions contribute substantially to protein binding and molecular recognition, the enrichment of pathogenic variants among binding-associated proteins suggests that electrostatic perturbations may be especially relevant in disease-associated contexts. Complementary analyses showed that pathogenic variants occur at more rigid local sites and are more often located in high-confidence modeled regions and that pathogenic-only genes show stronger gene constraint. This work therefore provides an electrostatics-focused framework for interpreting how charge-altering missense variants disrupt local protein electrostatic environments and how these disruptions are linked to pathogenicity.

Indexed as

DiseaseMutation, MissenseProteinsStatic ElectricityHumansModels, MolecularProteinscharge-altering mutationsDelPhielectrostatic energyelectrostatic potentialelectrostaticsmissense variantsmonogenic diseaseRSAsolvent accessibility

Identifiers

PMID42494064
PMCPMC13495140

What OpenQuestion holds

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Registered trials

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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.