In-silico predictive mutagenicity model generation using supervised learning approaches

BACKGROUND: Experimental screening of chemical compounds for biological activity is a time consuming and expensive practice. In silico predictive models permit inexpensive, rapid “virtual screening” to prioritize selection of compounds for experimental testing. Both experimental and in silico screen...

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Detalles Bibliográficos
Autores principales: Seal, Abhik, Passi, Anurag, Jaleel, UC Abdul, Wild, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542175/
https://www.ncbi.nlm.nih.gov/pubmed/22587596
http://dx.doi.org/10.1186/1758-2946-4-10

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542175/
https://www.ncbi.nlm.nih.gov/pubmed/22587596
http://dx.doi.org/10.1186/1758-2946-4-10

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