MDF-DTA: A Multi-Dimensional Fusion Approach for Drug-Target Binding Affinity Prediction

Drug-target affinity (DTA) prediction is an important task in the early stages of drug discovery. Traditional biological approaches are time-consuming, effort-consuming, and resource-consuming due to the large size of genomic and chemical spaces. Computational approaches using machine learning have...

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Veröffentlicht in:	Journal of chemical information and modeling Jg. 64; H. 13; S. 4980
Hauptverfasser:	Ranjan, Amit, Bess, Adam, Alvin, Chris, Mukhopadhyay, Supratik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 08.07.2024
Schlagworte:	Deep Learning Drug Discovery - methods Machine Learning Pharmaceutical Preparations - chemistry Pharmaceutical Preparations - metabolism Protein Binding Proteins - chemistry Proteins - metabolism
ISSN:	1549-960X, 1549-960X
Online-Zugang:	Weitere Angaben
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