Using the Random Forest for Identifying Key Physicochemical Properties of Amino Acids to Discriminate Anticancer and Non-Anticancer Peptides

Anticancer peptides (ACPs) represent a promising new therapeutic approach in cancer treatment. They can target cancer cells without affecting healthy tissues or altering normal physiological functions. Machine learning algorithms have increasingly been utilized for predicting peptide sequences with...

Descripción completa

Detalles Bibliográficos
Autores principales: Deng, Yiting, Ma, Shuhan, Li, Jiayu, Zheng, Bowen, Lv, Zhibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341712/
https://www.ncbi.nlm.nih.gov/pubmed/37446031
http://dx.doi.org/10.3390/ijms241310854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341712/
https://www.ncbi.nlm.nih.gov/pubmed/37446031
http://dx.doi.org/10.3390/ijms241310854

Ejemplares similares