Breaking the barriers of data scarcity in drug–target affinity prediction

Abstract Accurate prediction of drug–target affinity (DTA) is of vital importance in early-stage drug discovery, facilitating the identification of drugs that can effectively interact with specific targets and regulate their activities. While wet experiments remain the most reliable method, they are...

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Veröffentlicht in:	Briefings in bioinformatics 2023-09, Vol.24 (6)
Hauptverfasser:	Pei, Qizhi, Wu, Lijun, Zhu, Jinhua, Xia, Yingce, Xie, Shufang, Qin, Tao, Liu, Haiguang, Liu, Tie-Yan, Yan, Rui
Format:	Artikel
Sprache:	eng
Schlagworte:	Affinity Availability Deep learning Differential thermal analysis Drug discovery Drug interaction Drugs Predictions Proteins Training
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