ArticleProtein science : a publication of the Protein Society2022
What the protein data bank tells us about the evolutionary conservation of protein conformational diversity.
Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Contact-Network Phenotyping of the CDK Family Reveals Selective Distal C-Lobe Contact Redistribution by Modern CDK5 Inhibitors and a Quantitative Selectivity Landscape against CDK2 and CDK1.Journal of chemical information and modeling · 2026Article
- Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026Review
- Generation of protein dynamics by machine learning.Current opinion in structural biology · 2025Review
- Highly Optimized Simulation of Atomic Resolution Cell-Like Protein Environment.The journal of physical chemistry. B · 2025Article
- Systematic analysis of the relationship between fold-dependent flexibility and artificial intelligence protein structure prediction.PloS one · 2024Article
- What the protein data bank tells us about the evolutionary conservation of protein conformational diversity.Protein science : a publication of the Protein Society · 2022Article
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Authors and funding
4 authors.
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Abstract
Proteins sample a multitude of different conformations by undergoing small- and large-scale conformational changes that are often intrinsic to their functions. Information about these changes is often captured in the Protein Data Bank by the apparently redundant deposition of independent structural solutions of identical proteins. Here, we mine these data to examine the conservation of large-scale conformational changes between homologous proteins. This is important for both practical reasons, such as predicting alternative conformations of a protein by comparative modeling, and conceptual reasons, such as understanding the extent of conservation of different features in evolution. To study this question, we introduce a novel approach to compare conformational changes between proteins by the comparison of their difference distance maps (DDMs). We found that proteins undergoing similar conformational changes have similar DDMs and that this similarity could be quantified by the correlation between the DDMs. By comparing the DDMs of homologous protein pairs, we found that large-scale conformational changes show a high level of conservation across a broad range of sequence identities. This shows that conformational space is usually conserved between homologs, even relatively distant ones.
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