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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 S
Jebamani P
Seo YG
Wu S
Source :
Biomolecules [Biomolecules] 2024 Nov 19; Vol. 14 (11). Date of Electronic Publication: 2024 Nov 19.
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.

Details

Language :
English
ISSN :
2218-273X
Volume :
14
Issue :
11
Database :
MEDLINE
Journal :
Biomolecules
Publication Type :
Academic Journal
Accession number :
39595650
Full Text :
https://doi.org/10.3390/biom14111473