Unsupervised learning drug virtual screening method and system based on molecular semantic vectors

The invention discloses an unsupervised learning drug virtual screening method based on a molecular semantic vector. The method comprises the following steps: establishing a pre-training database; constructing a candidate set database D1; constructing a target compound library D2; performing data pr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	NIU ZHANGMING, JIANG YINGHUI, ZHENG SHUANGJIA
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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