BindingSiteAugmentedDTA: Enabling A Next-Generation Pipeline for Interpretable Prediction Models in Drug-Repurposing
Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Özlem Özmen Garibay
This paper introduces a deep learning framework for drug-target interaction prediction that improves accuracy and interpretability by incorporating binding site information and validates it through experimental testing.
Briefings in Bioinformatics · Apr 24, 2023Peer-reviewedBioinformatics