MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction.

Authors: Dong, Yunyun¹ (AUTHOR) dongyunyun@tyut.edu.cn, Chang, Yunqing¹ (AUTHOR), Wang, Yuxiang¹ (AUTHOR), Han, Qixuan¹ (AUTHOR), Wen, Xiaoyuan¹ (AUTHOR), Yang, Ziting¹ (AUTHOR), Zhang, Yan¹ (AUTHOR), Qiang, Yan² (AUTHOR) qiangyan@tyut.edu.cn, Wu, Kun³ (AUTHOR), Fan, Xiaole⁴ (AUTHOR), Ren, Xiaoqiang⁴ (AUTHOR)

Source: BMC Bioinformatics. 4/1/2024, Vol. 25 Issue 1, p1-24. 24p.

Subject Terms: *DRUG synergism, *INTERACTIVE learning, *COLLABORATIVE learning, *COMBINATION drug therapy, *ANTINEOPLASTIC agents

Biochemical characterization of mt‐PemIK, a novel toxin‐antitoxin system in Mycobacterium tuberculosis

Authors: Chi, Xiaodong, Chang, Yunqing, Li, Mengmiao, Lin, Jin, Liu, Yi, Li, Chuanyou, Tang, Shenjie, Zhang, Junjie

Source: FEBS letters. 592(24):4039-4050

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100083709765.0x000001&indx=1&recIds=ETOCvdc_100083709765.0x000001