Implementation of multiple-instance learning in drug activity prediction

BACKGROUND: In the context of drug discovery and development, much effort has been exerted to determine which conformers of a given molecule are responsible for the observed biological activity. In this work we aimed to predict bioactive conformers using a variant of supervised learning, named multi...

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Detalles Bibliográficos
Autores principales: Fu, Gang, Nan, Xiaofei, Liu, Haining, Patel, Ronak Y, Daga, Pankaj R, Chen, Yixin, Wilkins, Dawn E, Doerksen, Robert J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439725/
https://www.ncbi.nlm.nih.gov/pubmed/23046442
http://dx.doi.org/10.1186/1471-2105-13-S15-S3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439725/
https://www.ncbi.nlm.nih.gov/pubmed/23046442
http://dx.doi.org/10.1186/1471-2105-13-S15-S3

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