Machine Learning

The following information is listed on the source website. Membranolytic anticancer peptides (ACPs) are drawing increasing attention as potential future therapeutics against cancer, due to their ability to hinder the development of cellular resistance and their potential to overcome common hurdles of chemotherapy, e.g., side effects and cytotoxicity. This dataset contains information on peptides (annotated for their one-letter amino acid code) and their anticancer activity on breast and lung cancer cell lines. Two peptide datasets targeting breast and lung cancer cells were assembled and curated manually from CancerPPD. Linear and l-chiral peptides were retained, while cyclic, mixed or d-chiral peptides were discarded.