GENERATIVE TNA SEQUENCE DESIGN WITH EXPERIMENT-IN-THE-LOOP TRAINING

A latent space is defined to represent sequences using training data and a machine-learning model. The training data identifies sequences of molecules and binding-approximation metrics that characterizes whether the molecules bind to a particular target and/or that approximate an extent to which the...

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Bibliographische Detailangaben

Hauptverfasser:	GRUBISIC, Ivan, KEH, Lance Co Ting, POPLIN, Ryan, NAGATANI, Ray
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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