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Are Protein Shape-Encoded Lowest-Frequency Motions a Key Phenotype Selected by Evolution?

Authors :
Laura Orellana
Source :
Applied Sciences, Vol 13, Iss 11, p 6756 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

At the very deepest molecular level, the mechanisms of life depend on the operation of proteins, the so-called “workhorses” of the cell. Proteins are nanoscale machines that transform energy into useful cellular work, such as ion or nutrient transport, information processing, or energy transformation. Behind every biological task, there is a nanometer-sized molecule whose shape and intrinsic motions, binding, and sensing properties have been evolutionarily polished for billions of years. With the emergence of structural biology, the most crucial property of biomolecules was thought to be their 3D shape, but how this relates to function was unclear. During the past years, Elastic Network Models have revealed that protein shape, motion and function are deeply intertwined, so that each structure displays robustly shape-encoded functional movements that can be extraordinarily conserved across the tree of life. Here, we briefly review the growing literature exploring the interplay between sequence evolution, protein shape, intrinsic motions and function, and highlight examples from our research in which fundamental movements are conserved from bacteria to mammals or selected by cancer cells to modulate function.

Details

Language :
English
ISSN :
20763417
Volume :
13
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.17b7bd26b1b4f1e8190ce08405c1909
Document Type :
article
Full Text :
https://doi.org/10.3390/app13116756