mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides

Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning algorithms have emerged as a promising tool for he...

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Detalles Bibliográficos
Autores principales: Boopathi, Vinothini, Subramaniyam, Sathiyamoorthy, Malik, Adeel, Lee, Gwang, Manavalan, Balachandran, Yang, Deok-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514805/
https://www.ncbi.nlm.nih.gov/pubmed/31013619
http://dx.doi.org/10.3390/ijms20081964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514805/
https://www.ncbi.nlm.nih.gov/pubmed/31013619
http://dx.doi.org/10.3390/ijms20081964

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