Publications

2023

1. 

   FragXsiteDTI: an interpretable transformer-based model for drug-target interaction prediction

   Ali Khodabandeh Yalabadi ,  Mehdi Yazdani-Jahromi ,  Niloofar Yousefi , and 3 more authors

   In NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development , 2023

   Bib

   @inproceedings{yalabadi2023fragxsitedti,
     title = {FragXsiteDTI: an interpretable transformer-based model for drug-target interaction prediction},
     author = {Yalabadi, Ali Khodabandeh and Yazdani-Jahromi, Mehdi and Yousefi, Niloofar and Tayebi, Aida and Abdidizaji, Sina and Garibay, Ozlem},
     booktitle = {NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development},
     url = {https://openreview.net/forum?id=AlWm9Cyelk},
     year = {2023},
   }

2. 

   BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing

   Niloofar Yousefi ,  Mehdi Yazdani-Jahromi ,  Aida Tayebi , and 7 more authors

   Briefings in Bioinformatics, 2023
3. HCII, AAAI

   Through a fair looking-glass: mitigating bias in image datasets

   Amirarsalan Rajabi ,  Mehdi Yazdani-Jahromi ,  Ozlem Ozmen Garibay , and 1 more author

   In International Conference on Human-Computer Interaction , 2023

2022

1. 

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

   Mehdi Yazdani-Jahromi ,  Niloofar Yousefi ,  Aida Tayebi , and 4 more authors

   Briefings in Bioinformatics, 2022
2. arXiv

   Distraction is all you need for fairness

   Mehdi Yazdani-Jahromi ,  AmirArsalan Rajabi ,  Aida Tayebi , and 1 more author

   arXiv preprint arXiv:2203.07593, 2022
3. Molecules

   UnbiasedDTI: Mitigating real-world bias of drug-target interaction prediction by using deep ensemble-balanced learning

   Aida Tayebi ,  Niloofar Yousefi ,  Mehdi Yazdani-Jahromi , and 4 more authors

   Molecules, 2022