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...
- 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
- 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.
