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...

Celý popis

Podrobná bibliografia

Vydané v:	Journal of chemical information and modeling Ročník 64; číslo 13; s. 4980
Hlavní autori:	Ranjan, Amit, Bess, Adam, Alvin, Chris, Mukhopadhyay, Supratik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 08.07.2024
Predmet:	Deep Learning Drug Discovery - methods Machine Learning Pharmaceutical Preparations - chemistry Pharmaceutical Preparations - metabolism Protein Binding Proteins - chemistry Proteins - metabolism
ISSN:	1549-960X, 1549-960X
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!