Evidence map›Paper›PMID 40314982›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Accurate identification and mechanistic evaluation of pathogenic missense variants with

Anupam Banerjee, Anthony T Bogetti, Ivet Bahar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. MAVISp: A modular structure-based framework for protein variant effects.Protein science : a publication of the Protein Society · 2026
    Article
  3. Population- and haplotype-dependent variation aroundJID innovations : skin science from molecules to population health · 2026
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Anupam BanerjeeLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0002-2859-7705
Anthony T BogettiLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.
Ivet BaharLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0001-9959-4176

Funding

Toward a Deeper Understanding of Allostery and Allotargeting by Computational ApproachesR01GM139297 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ivet Bahar · 2021 to 2026
$2.8M
Foundation for the NIH (FNIH) R01GM139297NIGMS NIH HHS R01 GM139297
6 · The paper itself

Abstract

Understanding the effects of missense mutations or single amino acid variants (SAVs) on protein function is crucial for elucidating the molecular basis of diseases/disorders and designing rational therapies. We introduce here

Indexed as

Machine LearningMutation, MissenseProteinsAlgorithmsComputational BiologyDatabases, ProteinHumansProteinsmachine learningmissense variantspathogenicity predictionstructural dynamics

Identifiers

PMID40314982
PMCPMC12067267

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.