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

Autores:
Salas-Nuñez, Luis F.
Barrera-Ocampo, Alvaro
Caicedo, Paola A.
Cortes, Natalie
Osorio, Edison H
Villegas-Torres, Maria F.
González Barrios, Andres F.
Tipo de recurso:
Article of investigation
Fecha de publicación:
2024
Institución:
Universidad de Ibagué
Repositorio:
Repositorio Universidad de Ibagué
Idioma:
eng
OAI Identifier:
oai:repositorio.unibague.edu.co:20.500.12313/5807
Acceso en línea:
https://hdl.handle.net/20.500.12313/5807
https://www.mdpi.com/2218-1989/14/3/154
Palabra clave:
Aprendizaje automático
Artificial intelligence
Computational studies
Enzyme classification
Enzyme–substrate interaction
Molecular descriptors
Synthesis routes
Rraining data
Rights
openAccess
License
© 2024 by the authors.