Machine Learning to Predict Enzyme–Substrate Interactions in Elucidation of Synthesis Pathways: A Review

Machine Learning to Predict Enzyme–Substrate Interactions in Elucidation of Synthesis Pathways: A Review

Enzyme–substrate interactions play a fundamental role in elucidating synthesis pathways and synthetic biology, as they allow for the understanding of important aspects of a reaction. Establishing the interaction experimentally is a slow and costly process, which is why this problem has been addresse...

Full description

Bibliographic Details
Main Authors: Luis F. Salas-Nuñez, Alvaro Barrera-Ocampo, Paola A. Caicedo, Natalie Cortes, Edison H. Osorio, Maria F. Villegas-Torres, Andres F. González Barrios
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Metabolites
Subjects:
enzyme–substrate interaction
artificial intelligence
synthesis routes
enzyme classification
molecular descriptors
training data
Online Access:https://www.mdpi.com/2218-1989/14/3/154

Internet

https://www.mdpi.com/2218-1989/14/3/154

Similar Items