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Mehdi Yazdani-Jahromi

Showing results (1-10 of 4) with videos related to

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Bioinformatics Advances|July 7, 2025
BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generationAli Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Ozlem Ozmen Garibay
Molecules (Basel, Switzerland)|May 14, 2022
UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced LearningAida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, et al.
Briefings in Bioinformatics|July 11, 2022
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationMehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, et al.
Briefings in Bioinformatics|April 25, 2023
BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposingNiloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Bioinformatics Advances|July 7, 2025
BoKDiff: best-of-K diffusion alignment for target-specific 3D molecule generationAli Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Ozlem Ozmen Garibay
Molecules (Basel, Switzerland)|May 14, 2022
UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced LearningAida Tayebi, Niloofar Yousefi, Mehdi Yazdani-Jahromi, et al.
Briefings in Bioinformatics|July 11, 2022
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classificationMehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, et al.
Briefings in Bioinformatics|April 25, 2023
BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposingNiloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, et al.
Pageof 1