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...
- 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/