Development of anti-lung cancer screening system based on target recognition and natural language
This project will first use a previously established target identification platform to identify the targets of anti-lung cancer traditional Chinese medicine. Then, a Boolean network model and a previously built TAIGET computing platform will be used to identify the key genes of western medicine. Based on PPI networks, cell signaling modules consisting of the targets of traditional Chinese medicine and the key genes of western medicine will be constructed, which is further integrated with side-effect markers of lung cancer treatment, with the aim to complete multi-scale drug effect projecting. Thus, a screening system for combination of Chinese and Western medicines against lung cancer will be established for the successful screening of combination of Chinese and Western medicines with potential drug effects and small side-effects. Cell and mouse experiments will be used to verify the compatibility of combination of Chinese and Western medicines. The project aims to help medical workers or patients to quickly screen drugs, avoid or reduce adverse events, and promote clinical rational drug use.
Xv Xue, email@example.com, Wuhan University of Science and Technology
Li Fangxv, firstname.lastname@example.org, Wuhan University of Science and Technology
Huang Hangxing, email@example.com, Wuhan University of Science and Technology