Evidence map›Paper›PMID 40727428›Full record

ReviewComputational and structural biotechnology journal2025

Review of protein structure-based analyses that illuminate plant stress mechanisms.

Fatima Shahid, Neeladri Sen, Hawa Najibah Rasni, Nurulhikma Md Isa, Nyuk Ling Ma, Christine Orengo, Su Datt Lam

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026
    Review
  2. Article
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

7 authors.

Fatima ShahidDepartment of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43000, Malaysia.
Neeladri SenInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, England WC1E 6BT, United Kingdom.
Hawa Najibah RasniDepartment of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43000, Malaysia.
Nurulhikma Md IsaDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43000, Malaysia.
Nyuk Ling MaBIOSES Research Interest Group, Faculty of Science & Marine Environment, Universiti Malaysia Terengganu, 21030, Malaysia.
Christine OrengoInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, England WC1E 6BT, United Kingdom.
Su Datt LamDepartment of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43000, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plants face formidable challenges due to environmental stresses, including pathogens, salt, drought, cold, heat, heavy metal exposure, and flooding, all of which affect growth and agricultural productivity. To combat these stresses, plants have evolved various adaptive mechanisms, including the expression of stress-response proteins. Exploring the three-dimensional structures of plant proteins can be valuable for discovering and characterising stress tolerance mechanisms at the molecular level. Until recently, large-scale analyses were not feasible due to the limited number of experimentally determined plant protein structures. However, the recently developed AlphaFold, RoseTTA-Fold, and ESM-fold protein structure prediction methods, along with their associated portals, now provide hundreds of millions of high-quality predicted 3D models, covering a wide range of plant proteins. This review highlights insights from recent structural investigations into plant stress response using experimental or predicted protein structures. We include analyses of diverse paralogs and isoforms and insights from molecular docking and molecular dynamics simulations. We consider the value of using experimental and predicted structural data in understanding the mechanisms of common stress-modulating plant proteins. Studying the structures of these proteins together with their inferred functions can aid improvements in crop productivity, help foster sustainable agriculture, and contribute to global food security efforts.

Indexed as

AlphaFold2AlphaFold3Plant stressProtein structuresStructural analysis

Identifiers

PMID40727428
PMCPMC12302779

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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.