Anticancer Peptide

Anticancer peptides (ACPs) are short amino acid chains showing promise as selective cancer treatments, offering a potentially safer alternative to conventional therapies. Current research heavily focuses on developing accurate computational models to identify novel ACPs, employing machine learning techniques such as transformer networks (e.g., ESM) and deep learning architectures (e.g., BiLSTMs) combined with advanced feature extraction methods like topology-based descriptors. These efforts aim to improve the efficiency and accuracy of ACP discovery, ultimately accelerating the development of peptide-based cancer therapies.