ReviewComputational and structural biotechnology journal2025
Review of protein structure-based analyses that illuminate plant stress mechanisms.
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.
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.
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.
Who cites it
2 citing papers in PubMed.
- Advances and opportunities for computational interrogation of plant proteins.The Plant journal : for cell and molecular biology · 2026Review
- Genetic Diversity, Predictive Protein Structures, and Interaction Networks of Cysteine-Rich Receptor-Like Kinases inComputational and structural biotechnology journal · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.