Cargando…

Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches

[Image: see text] Lipases are enzymes able to catalyze the hydrolysis or synthesis of triglycerides, depending on the reaction conditions, whereas sterol esterases show the same ability on sterol esters. Structurally, both kinds of enzymes display an α/β-hydrolase fold, with a substrate-binding pock...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodríguez-Salarichs, Javier, García de Lacoba, Mario, Prieto, Alicia, Martínez, María Jesús, Barriuso, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479805/
https://www.ncbi.nlm.nih.gov/pubmed/33555857
http://dx.doi.org/10.1021/acs.jcim.0c01151
_version_ 1784576337233575936
author Rodríguez-Salarichs, Javier
García de Lacoba, Mario
Prieto, Alicia
Martínez, María Jesús
Barriuso, Jorge
author_facet Rodríguez-Salarichs, Javier
García de Lacoba, Mario
Prieto, Alicia
Martínez, María Jesús
Barriuso, Jorge
author_sort Rodríguez-Salarichs, Javier
collection PubMed
description [Image: see text] Lipases are enzymes able to catalyze the hydrolysis or synthesis of triglycerides, depending on the reaction conditions, whereas sterol esterases show the same ability on sterol esters. Structurally, both kinds of enzymes display an α/β-hydrolase fold, with a substrate-binding pocket formed by a hydrophobic cavity covered by a mobile lid. However, it has been reported that some lipases from the Candida rugosa-like family display wide substrate specificity on both triglycerides and sterol esters. Among them, enzymes with different biotechnological applications, such as the lipase isoenzymes produced by C. rugosa and the sterol esterase from Ophiostoma piceae, have been exhaustively characterized and their crystal structures are available. Differences in substrate affinity among these proteins have been attributed to changes in their hydrophobicity. In this work, we analyzed the full catalytic mechanisms of these proteins using molecular dynamics tools, gaining insight into their mechanistic properties. In addition, we developed an in silico protocol to predict the substrate specificity using C. rugosa and O. piceae lipases as model enzymes and triglycerides and cholesterol esters with different fatty acid chain lengths as model substrates. The protocol was validated by comparing the in silico results with those described in the literature. These results would be useful to perform virtual screening of substrates for enzymes of the C. rugosa-like family with unknown catalytic properties.
format Online
Article
Text
id pubmed-8479805
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-84798052021-09-29 Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches Rodríguez-Salarichs, Javier García de Lacoba, Mario Prieto, Alicia Martínez, María Jesús Barriuso, Jorge J Chem Inf Model [Image: see text] Lipases are enzymes able to catalyze the hydrolysis or synthesis of triglycerides, depending on the reaction conditions, whereas sterol esterases show the same ability on sterol esters. Structurally, both kinds of enzymes display an α/β-hydrolase fold, with a substrate-binding pocket formed by a hydrophobic cavity covered by a mobile lid. However, it has been reported that some lipases from the Candida rugosa-like family display wide substrate specificity on both triglycerides and sterol esters. Among them, enzymes with different biotechnological applications, such as the lipase isoenzymes produced by C. rugosa and the sterol esterase from Ophiostoma piceae, have been exhaustively characterized and their crystal structures are available. Differences in substrate affinity among these proteins have been attributed to changes in their hydrophobicity. In this work, we analyzed the full catalytic mechanisms of these proteins using molecular dynamics tools, gaining insight into their mechanistic properties. In addition, we developed an in silico protocol to predict the substrate specificity using C. rugosa and O. piceae lipases as model enzymes and triglycerides and cholesterol esters with different fatty acid chain lengths as model substrates. The protocol was validated by comparing the in silico results with those described in the literature. These results would be useful to perform virtual screening of substrates for enzymes of the C. rugosa-like family with unknown catalytic properties. American Chemical Society 2021-02-08 2021-02-22 /pmc/articles/PMC8479805/ /pubmed/33555857 http://dx.doi.org/10.1021/acs.jcim.0c01151 Text en © 2021 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Rodríguez-Salarichs, Javier
García de Lacoba, Mario
Prieto, Alicia
Martínez, María Jesús
Barriuso, Jorge
Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title_full Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title_fullStr Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title_full_unstemmed Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title_short Versatile Lipases from the Candida rugosa-like Family: A Mechanistic Insight Using Computational Approaches
title_sort versatile lipases from the candida rugosa-like family: a mechanistic insight using computational approaches
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479805/
https://www.ncbi.nlm.nih.gov/pubmed/33555857
http://dx.doi.org/10.1021/acs.jcim.0c01151
work_keys_str_mv AT rodriguezsalarichsjavier versatilelipasesfromthecandidarugosalikefamilyamechanisticinsightusingcomputationalapproaches
AT garciadelacobamario versatilelipasesfromthecandidarugosalikefamilyamechanisticinsightusingcomputationalapproaches
AT prietoalicia versatilelipasesfromthecandidarugosalikefamilyamechanisticinsightusingcomputationalapproaches
AT martinezmariajesus versatilelipasesfromthecandidarugosalikefamilyamechanisticinsightusingcomputationalapproaches
AT barriusojorge versatilelipasesfromthecandidarugosalikefamilyamechanisticinsightusingcomputationalapproaches