Applied Machine Learning Toward Drug Discovery Enhancement: Leishmaniases as a Case Study

Drug discovery (DD) research is a complex field with a high attrition rate. Machine learning (ML) approaches combined to chemoinformatics are of valuable input to this field. We, herein, focused on implementing multiple ML algorithms that shall learn from different molecular fingerprints (FPs) of 65...

Descripción completa

Detalles Bibliográficos
Autores principales: Harigua-Souiai, Emna, Oualha, Rafeh, Souiai, Oussama, Abdeljaoued-Tej, Ines, Guizani, Ikram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036323/
https://www.ncbi.nlm.nih.gov/pubmed/35478992
http://dx.doi.org/10.1177/11779322221090349

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9036323/
https://www.ncbi.nlm.nih.gov/pubmed/35478992
http://dx.doi.org/10.1177/11779322221090349

Ejemplares similares