Affiliation:
1. Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410003, China
2. School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, SAR 999077, China
Abstract
FMBS leverages a Bayesian framework to integrate 25 predictable biological space characterizations, capturing novel targets that traditional chemical descriptors miss, thereby enhancing target prediction accuracy through scaffold hopping.
Funder
Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province
National Key Research and Development Program of China
Science and Technology Program of Hunan Province
Natural Science Foundation of Hunan Province
Science Fund for Distinguished Young Scholars of Hunan Province
National Natural Science Foundation of China
Hong Kong Baptist University
Publisher
Royal Society of Chemistry (RSC)