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

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-07-13 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.07.021
Fatima Shahid, Neeladri Sen, Hawa Najibah Rasni, Nurulhikma Md Isa, Nyuk Ling Ma, Christine Orengo, Su Datt Lam
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引用次数: 0

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.

基于蛋白质结构的植物胁迫机制分析综述。
由于环境压力,包括病原体、盐、干旱、冷、热、重金属暴露和洪水,植物面临着巨大的挑战,所有这些都影响着生长和农业生产力。为了对抗这些压力,植物进化出各种适应机制,包括表达应激反应蛋白。探索植物蛋白的三维结构可以在分子水平上发现和表征胁迫耐受机制。直到最近,由于实验确定的植物蛋白结构数量有限,大规模分析是不可行的。然而,最近开发的AlphaFold、RoseTTA-Fold和ESM-fold蛋白质结构预测方法,以及它们相关的门户,现在提供了数亿个高质量的预测3D模型,涵盖了广泛的植物蛋白质。本文综述了最近利用实验或预测的蛋白质结构对植物胁迫反应的结构研究的见解。我们包括对不同的类似物和同工异构体的分析,以及来自分子对接和分子动力学模拟的见解。我们认为利用实验和预测的结构数据在理解常见的胁迫调节植物蛋白的机制中的价值。研究这些蛋白质的结构及其推断的功能可以帮助提高作物生产力,帮助促进可持续农业,并为全球粮食安全努力作出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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