Cited by 190Protein Structure and DynamicsEvolution and Genetic DynamicsRNA and protein synthesis mechanisms

The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution

Campitelli, Paul, Modi, Tushar, Kumar, Sudhir, Ozkan, S. Banu·2020·Annual Review of Biophysics

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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Crossref · 10.1146/annurev-biophys-052118-115517

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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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Authors
Campitelli, P., Modi, T., Kumar, S., & Ozkan, S. B.
Affiliations
  • Arizona State University (US)
  • King Abdulaziz University (SA)
Venue
Annual Review of Biophysics
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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