AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification

Abstract In this study, we introduce an interpretable graph-based deep learning prediction model, AttentionSiteDTI, which utilizes protein binding sites along with a self-attention mechanism to address the problem of drug–target interaction prediction. Our proposed model is inspired by sentence clas...

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Veröffentlicht in:	Briefings in bioinformatics 2022-07, Vol.23 (4)
Hauptverfasser:	Yazdani-Jahromi, Mehdi, Yousefi, Niloofar, Tayebi, Aida, Kolanthai, Elayaraja, Neal, Craig J, Seal, Sudipta, Garibay, Ozlem Ozmen
Format:	Artikel
Sprache:	eng
Schlagworte:	Binding sites Classification Deep learning Machine learning Natural language processing Prediction models Problem Solving Protocol Proteins
Online-Zugang:	Volltext
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