StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach

• Main Authors: Muhammad Arif, Saeed Ahmed, Fang Ge, Muhammad Kabir, Yaser Daanial Khan, Dong Jun Yu, Maha Thafar
• Other Authors: Taif University
• Format: Article
• Published: 2022
• Subjects: Chemical Engineering; Chemistry; Computer Science
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/73657
• Institution: Mahidol University

Anticancer peptides (ACPs) have been emerged as a potential safe therapeutic agent for treating cancer. Identifying novel ACPs is crucial for understanding deep insight their functional mechanisms and vaccine production. Conventional wet-lab technological methods for finding ACPs are overpriced, slo...