A Method of Optimizing Weight Allocation in Data Integration Based on Q-Learning for Drug-Target Interaction Prediction

Calculating and predicting drug-target interactions (DTIs) is a crucial step in the field of novel drug discovery. Nowadays, many models have improved the prediction performance of DTIs by fusing heterogeneous information, such as drug chemical structure and target protein sequence and so on. Howeve...

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Detalles Bibliográficos
Autores principales: Sun, Jiacheng, Lu, You, Cui, Linqian, Fu, Qiming, Wu, Hongjie, Chen, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959213/
https://www.ncbi.nlm.nih.gov/pubmed/35356288
http://dx.doi.org/10.3389/fcell.2022.794413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959213/
https://www.ncbi.nlm.nih.gov/pubmed/35356288
http://dx.doi.org/10.3389/fcell.2022.794413

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