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 populations of conformational states in ensembles.
“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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Directed evolution of the substrate specificity of dialkylglycine decarboxylase
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Modeling conformational states of proteins with AlphaFold
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RNA-induced Allosteric Coupling Drives Viral Capsid Assembly
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Dynamics-based protein network features accurately discriminate neutral and rheostat positions
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Self-citationAllosteric Lever: Toward a Principle of Specific Allosteric Response
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Intrinsic Dynamics of the ClpXP Proteolytic Machine Using Elastic Network Models
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Identification of an Evolutionarily Conserved Allosteric Network in Steroid Receptors
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Self-citationEngineering gain‐of‐function mutants of a WW domain by dynamics and structural analysis
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A protein dynamics–based deep learning model enhances predictions of fitness and epistasis
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Molecular dynamics simulations suggest novel allosteric modes in the Hsp70 chaperone protein
Mahto, F. K., Bhattacharya, A., & Bhattacharya, S. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2290618 · Cited by 5 · see citing works
Synergy and anti‐cooperativity in allostery: Molecular dynamics study of WT and oncogenic KRAS‐RGL1
Hacisuleyman, A., & Erman, B. (2023) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.26657 · Cited by 5 · see citing works
Reused Protein Segments Linked to Functional Dynamics
Kutlu, Y., Axel, G., Kolodny, R., Ben‐Tal, N., & Haliloǧlu, T. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae184 · Cited by 5 · see citing works
Hacisuleyman, A., Yüret, D., & Erman, B. (2025) · Journal of Molecular Biology · doi:10.1016/j.jmb.2025.169075 · Cited by 5 · see citing works
Correlated Evolution of Low-Frequency Vibrations and Function in Enzymes
Modi, T., Campitelli, P., Heyden, M., & Ozkan, S. B. (2023) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.2c05983 · Cited by 5 · see citing works
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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 · see citing works
- 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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