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The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution
Abstract
Advances in sequencing techniques and statistical methods have made it possible not only to predict sequences of ancestral proteins but also to identify thousands of mutations in the human exome, some of which are disease associated. These developments have motivated numerous theories and raised many questions regarding the fundamental principles behind protein evolution, which have been traditionally investigated horizontally using the tip of the phylogenetic tree through comparative studies of extant proteins within a family. In this article, we review a vertical comparison of the modern and resurrected ancestral proteins. We focus mainly on the dynamical properties responsible for a protein's ability to adapt new functions in response to environmental changes. Using the Dynamic Flexibility Index and the Dynamic Coupling Index to quantify the relative flexibility and dynamic coupling at a site-specific, single-amino-acid level, we provide evidence that the migration of hinges, which are often functionally critical rigid sites, is a mechanism through which proteins can rapidly evolve. Additionally, we show that disease-associated mutations in proteins often result in flexibility changes even at positions distal from mutational sites, particularly in the modulation of active site dynamics.
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“AlphaFold, which predicts single ranked structures for a protein sequence, is unable to address directly allosteric mechanisms, which are based on the populations of conformational states in the ensembles.”
From AlphaFold, Artificial Intelligence (AI), and Allostery (2022) · cites this paper as [102]
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Self-citationTran, T. V., Nguyen, H. P. A., Vu, L. O. C., & Lee, C. (2023) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2023.140971 · Cited by 5
Water determines the intramolecular dynamics of proteins. En example of bovine serum albumin
Penkov, N. V. (2024) · Frontiers in Chemistry · doi:10.3389/fchem.2024.1444448 · Cited by 5
Raju, A., Sharma, S., Riley, B. T., Djuraev, S., Tan, Y. L. K., Kim, M., Mahmud, T., & Keedy, D. A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.23.655529 · Cited by 5
Metadata
- Authors
- Campitelli, P., Modi, T., Kumar, S., & Ozkan, S. B.
- Affiliations
- Arizona State University (US)
- King Abdulaziz University (SA)
- Venue
- Annual Review of Biophysics
- Publisher
- Annual Reviews
- Published
- 2020-05-06
- Volume
- 49
- Issue
- 1
- Pages
- 267-288
- ISSN
- 1936-122X (ISSN-L)
- 1936-1238
- OpenAlex
- W3007324177
- Cited by
- 190
- References
- 112
- Citations by year
- 2026: 17 · 2025: 40 · 2024: 31 · 2023: 31 · 2022: 28 · 2021: 32 · 2020: 11
- FWCI
- 2.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biophysics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- protein evolution, conformational dynamics, allosteric regulation, ancestral proteins, disease-associated mutations, active site dynamics, protein flexibility, functional adaptation
- MeSH terms
- Allosteric Regulation, Humans, Mutation, Protein Conformation, Proteins, Evolution, Molecular
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