Author

Deepa Korani

Novo Nordisk (Denmark)ORCID 0000-0002-7618-5588Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1

Frequent Co-Authors

Kristine DeibleriD· 2 shared Akshat Shirish ZalteiD· 1 shared Alan C. ChengiD· 1 shared Andreas BenderiD· 1 shared Arijit PatraiD· 1 shared Cas WognumiD· 1 shared Cheng Fang· 1 shared Daniel J. Price· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Kristine DeiblerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 24, 2026

Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery

Srijit Seal, Akshat Shirish Zalte, David Alencar Araripe…·Cas Wognum

The paper presents a model validation framework for molecular property prediction models in drug discovery, revealing four failure modes and showing that common evaluation protocols overestimate performance.

DOI 10.64898/2026.08.19.745868

benchmark studydrug response / drug discovery

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedApr 28, 2026

Predicting peptide aggregation with protein language model embeddings

Ethan Eschbach, Kristine Deibler, Deepa Korani, Sebastian Swanson

This paper introduces a deep-learning model, PALM, that predicts peptide aggregation using protein language model embeddings, showing improved performance with larger datasets.

1 citation

protein sequencedeep learning

𝕏 PostBluesky