Evidence map›Paper›PMID 42857753›Full record

ArticleBioinformatics advances2026

Employing AlphaFold and TED to explore the structural impacts of stress-associated mutations in rice.

Fatima Shahid, Neeladri Sen, Christine Orengo, Su Datt Lam

Abstract read
In one paragraph

Article in Bioinformatics advances, 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

4 authors.

Fatima ShahidDepartment of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-0244-0136
Neeladri SenDepartment of Structural and Molecular Biology, University College London, London WC1E 7JE, United Kingdom.
Christine OrengoDepartment of Structural and Molecular Biology, University College London, London WC1E 7JE, United Kingdom.
Su Datt LamDepartment of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.ORCID https://orcid.org/0000-0003-4772-7656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Plants have evolved adaptive mechanisms to handle environmental stress. However, genome-wide association studies (GWASs) have identified genetic variations associated with stress resistance, yet their structural and functional impacts remain poorly understood. This limits our ability to develop more resilient crops. Results: Using predicted three-dimensional protein structures from the AlphaFold Database, chopped into domains by The Encyclopedia of Domains, we analysed how mutations identified in rice GWASs affect protein structure and function. The analysis revealed 102 mutations in 76 high-quality protein domains likely to impact structure and function. Thirty-nine mutations were positioned within 5 Å of predicted functional sites, including those near post-translational modification sites (3), allosteric sites (5), protein-protein interaction sites (25), ligand-binding sites (15), and conserved regions (9). We identified potential interaction partners for 18 proteins with mutations at predicted interfaces and modelled their complex structures. Six mutations were predicted to enhance binding affinity with their protein partners. Availability and implementation: This study utilized only open-access tools and and provides a framework that could strengthen plant defence mechanisms. However, experimental validation is essential to confirm the applicability of these findings for plant breeding programs.

Identifiers

PMID42857753
PMCPMC13652148

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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.