Review of protein structure-based analyses that illuminate plant stress mechanisms.
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| Main Authors: | , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
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Computational and structural biotechnology journal
2025
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| _version_ | 1868266171993686016 |
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| author | Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt |
| author_facet | Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt |
| collection | PubMed - marine biology |
| contents | Review of protein structure-based analyses that illuminate plant stress mechanisms. Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt 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. |
| format | Artículo científico |
| id | pubmed_40727428 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Computational and structural biotechnology journal |
| record_format | pubmed |
| spellingShingle | Review of protein structure-based analyses that illuminate plant stress mechanisms. Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt Review of protein structure-based analyses that illuminate plant stress mechanisms. Shahid, Fatima Sen, Neeladri Rasni, Hawa Najibah Isa, Nurulhikma Md Ma, Nyuk Ling Orengo, Christine Lam, Su Datt 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. |
| title | Review of protein structure-based analyses that illuminate plant stress mechanisms. |
| url | https://pubmed.ncbi.nlm.nih.gov/40727428/ |