Author

Aida Tayebi

University of Central Florida

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Assay:protein structure· 2 Research Focus:benchmarking· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Craig J. NealiD· 2 shared Elayaraja KolanthaiiD· 2 shared Mehdi Yazdani-JahromiiD· 2 shared Niloofar YousefiiD· 2 shared Özlem Özmen GaribayiD· 2 shared Sudipta SealiD· 2 shared Agnivo GosaiiD· 1 shared Ganesh BalasubramanianiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersBioinformatics

Craig J. NealORCID

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Author profile →

2 papers

Recent·Most cited

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

Interpretable and Generalizable Attention-Based Model for Predicting Drug-Target Interaction Using 3D Structure of Protein Binding Sites: SARS-CoV-2 Case Study and in-Lab Validation

Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Özlem Özmen Garibay

This paper introduces an interpretable graph-based deep learning model for predicting drug-target interactions using protein binding sites, validated with experimental testing on SARS-CoV-2 targets.

Briefings in Bioinformatics · Jul 11, 2022Peer-reviewedBioinformatics