MLACP: machine-learning-based prediction of anticancer peptides

Cancer is the second leading cause of death globally, and use of therapeutic peptides to target and kill cancer cells has received considerable attention in recent years. Identification of anticancer peptides (ACPs) through wet-lab experimentation is expensive and often time consuming; therefore, de...

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Detalles Bibliográficos
Autores principales: Manavalan, Balachandran, Basith, Shaherin, Shin, Tae Hwan, Choi, Sun, Kim, Myeong Ok, Lee, Gwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652333/
https://www.ncbi.nlm.nih.gov/pubmed/29100375
http://dx.doi.org/10.18632/oncotarget.20365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5652333/
https://www.ncbi.nlm.nih.gov/pubmed/29100375
http://dx.doi.org/10.18632/oncotarget.20365

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