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General Theory of Specific Binding: Insights from a Genetic-Mechano-Chemical Protein Model

Author(s)
McBride, John M.Eckmann, Jean-PierreTlusty, Tsvi
Issued Date
2022-11
DOI
10.1093/molbev/msac217
URI
https://scholarworks.unist.ac.kr/handle/201301/60703
Citation
MOLECULAR BIOLOGY AND EVOLUTION, v.39, no.11, pp.msac217
Abstract
Proteins need to selectively interact with specific targets among a multitude of similar molecules in the cell. However, despite a firm physical understanding of binding interactions, we lack a general theory of how proteins evolve high specificity. Here, we present such a model that combines chemistry, mechanics, and genetics and explains how their interplay governs the evolution of specific protein-ligand interactions. The model shows that there are many routes to achieving molecular discrimination-by varying degrees of flexibility and shape/chemistry complementarity-but the key ingredient is precision. Harder discrimination tasks require more collective and precise coaction of structure, forces, and movements. Proteins can achieve this through correlated mutations extending far from a binding site, which fine-tune the localized interaction with the ligand. Thus, the solution of more complicated tasks is enabled by increasing the protein size, and proteins become more evolvable and robust when they are larger than the bare minimum required for discrimination. The model makes testable, specific predictions about the role of flexibility and shape mismatch in discrimination, and how evolution can independently tune affinity and specificity. Thus, the proposed theory of specific binding addresses the natural question of "why are proteins so big?". A possible answer is that molecular discrimination is often a hard task best performed by adding more layers to the protein.
Publisher
OXFORD UNIV PRESS
ISSN
0737-4038
Keyword (Author)
molecular recognitionbinding specificityconformational changesprotein evolutiontRNA synthetase
Keyword
MOLECULAR-DYNAMICS SIMULATIONSENTHALPY-ENTROPY COMPENSATIONELASTIC NETWORK MODELSLIGAND-BINDINGCONFORMATIONAL ENTROPYSHAPE COMPLEMENTARITYRECOGNITIONAFFINITYPREDICTIONEVOLUTION

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