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Physical Model of the Genotype-to-Phenotype Map of Proteins

Cited 18 time in webofscience Cited 19 time in scopus
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Title
Physical Model of the Genotype-to-Phenotype Map of Proteins
Author(s)
Tsvi Tlusty; Albert Libchaber; Jean-Pierre Eckmann
Publication Date
2017-06
Journal
PHYSICAL REVIEW X, v.7, no.2, pp.021037
Publisher
AMER PHYSICAL SOC
Abstract
How DNA is mapped to functional proteins is a basic question of living matter. We introduce and study a physical model of protein evolution which suggests a mechanical basis for this map. Many proteins rely on large-scale motion to function. We therefore treat protein as learning amorphous matter that evolves towards such a mechanical function: Genes are binary sequences that encode the connectivity of the amino acid network that makes a protein. The gene is evolved until the network forms a shear band across the protein, which allows for long-range, soft modes required for protein function. The evolution reduces the high-dimensional sequence space to a low-dimensional space of mechanical modes, in accord with the observed dimensional reduction between genotype and phenotype of proteins. Spectral analysis of the space of 10(6) solutions shows a strong correspondence between localization around the shear band of both mechanical modes and the sequence structure. Specifically, our model shows how mutations are correlated among amino acids whose interactions determine the functional mode. © Copyright 2017 Elsevier B.V., All rights reserved.
URI
https://pr.ibs.re.kr/handle/8788114/3671
DOI
10.1103/PhysRevX.7.021037
ISSN
2160-3308
Appears in Collections:
Center for Soft and Living Matter(첨단연성물질 연구단) > 1. Journal Papers (저널논문)
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2017_Phys.Rev._Physical Model of the Genotype-to-Phenotype Map of Proteins_Tsvi.pdfDownload

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