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Computational Study of Network and Type-I Functional Divergence in Alcohol Dehydrogenase Enzymes Across Species Using Molecular Dynamics Simulation.

Authors :
Park, Suhyun
Jebamani, Petrina
Seo, Yeon Gyo
Wu, Sangwook
Source :
Biomolecules (2218-273X). Nov2024, Vol. 14 Issue 11, p1473. 18p.
Publication Year :
2024

Abstract

Alcohol dehydrogenases (ADHs) are critical enzymes involved in the oxidation of alcohols, contributing to various metabolic pathways across organisms. This study investigates type I functional divergence within three ADH1 families: Saccharomyces cerevisiae (PDB ID: 4W6Z), Gadus morhua (PDB ID: 1CDO), and Homo sapiens (PDB ID: 1HDX). Understanding the molecular evolution and mechanisms underlying functional divergence of ADHs is essential for comprehending their adaptive significance. For this purpose, we performed a computational analysis that included structural characterization of ADHs through three-dimensional modeling, site-specific analysis to evaluate selective pressures and evolutionary constraints, and network analysis to elucidate relationships between structural features and functional divergence. Our findings indicate substantial variations in evolutionary and structural adaptations among the ADH families. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2218273X
Volume :
14
Issue :
11
Database :
Academic Search Index
Journal :
Biomolecules (2218-273X)
Publication Type :
Academic Journal
Accession number :
181165329
Full Text :
https://doi.org/10.3390/biom14111473