Learning the therapeutic use of drugs from the three-dimensional spatial information of their molecular structure with convolutional neural networks

Abstract The development of new molecules is a multi-stage process and clinical trials to verify their efficacy cost billions of dollars each year. Machine learning is a tool that is rapidly advancing in image, voice, and text recognition, and working in silico would increase the ability to predict...

Full description

Autores:
Martínez-Conde, Jorge Mario
Patiño-Vanegas, Alberto
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
spa
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12367
Acceso en línea:
https://hdl.handle.net/20.500.12585/12367
Palabra clave:
Chemoinformatics;
Drug Discovery;
Topographic Mapping
LEMB
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/