Evidence map›Paper›PMID 38744964›Full record

ArticleScientific data2024

Analysis of AlphaMissense data in different protein groups and structural context.

Hedvig Tordai, Odalys Torres, Máté Csepi, Rita Padányi, Gergely L Lukács, Tamás Hegedűs

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
–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

87 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Journal of medical genetics · 2026
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27 more citing papers are in PubMed but not listed here.

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

6 authors.

Hedvig TordaiInstitute of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-0875-5569
Odalys TorresInstitute of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-7263-6425
Máté CsepiInstitute of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Rita PadányiInstitute of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Gergely L LukácsDepartment of Physiology and Biochemistry, McGill University, Montréal, QC, Canada.ORCID 0000-0003-0900-0675
Tamás HegedűsInstitute of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary. hegedus.tamas@hegelab.org.ORCID 0000-0002-5195-749X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single amino acid substitutions can profoundly affect protein folding, dynamics, and function. The ability to discern between benign and pathogenic substitutions is pivotal for therapeutic interventions and research directions. Given the limitations in experimental examination of these variants, AlphaMissense has emerged as a promising predictor of the pathogenicity of missense variants. Since heterogenous performance on different types of proteins can be expected, we assessed the efficacy of AlphaMissense across several protein groups (e.g. soluble, transmembrane, and mitochondrial proteins) and regions (e.g. intramembrane, membrane interacting, and high confidence AlphaFold segments) using ClinVar data for validation. Our comprehensive evaluation showed that AlphaMissense delivers outstanding performance, with MCC scores predominantly between 0.6 and 0.74. We observed low performance on disordered datasets and ClinVar data related to the CFTR ABC protein. However, a superior performance was shown when benchmarked against the high quality CFTR2 database. Our results with CFTR emphasizes AlphaMissense's potential in pinpointing functional hot spots, with its performance likely surpassing benchmarks calculated from ClinVar and ProteinGym datasets.

Indexed as

Databases, ProteinProteinsAmino Acid SubstitutionCystic Fibrosis Transmembrane Conductance RegulatorHumansMutation, MissenseProtein FoldingCystic Fibrosis Transmembrane Conductance RegulatorProteins

Identifiers

PMID38744964
PMCPMC11094042

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.