Author

Nicholas Riina

Icahn School of Medicine at Mount Sinai

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Bioinformatics· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Approach:transformer / foundation model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Davide ProvasiiD· 1 shared Kirill A. KonovaloviD· 1 shared Marta FilizolaiD· 1 shared Olivia Cullen· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Davide ProvasiORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJan 14, 2026

BOLD-GPCRs: A Transformer-Powered App for Predicting Ligand Bioactivity and Mutational Effects Across Class A GPCRs

Davide Provasi, Kirill A. Konovalov, Nicholas Riina…·Marta Filizola

BOLD-GPCRs predicts ligand bioactivity and mutational effects for class A GPCRs using a transformer-based deep learning framework, achieving robust performance across understudied receptors.

1 citation

protein sequencedeep learning

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