Author

Anoop Krishnan

Brown UniversityORCID 0009-0002-7296-1604Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:proteomics· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Adam SychlaiD· 1 shared Enayat RajabiiD· 1 shared Grant YangiD· 1 shared Jacob RulisoniD· 1 shared Namita BisariaiD· 1 shared Pierre BongrandiD· 1 shared R. Alexander Wesselhoeft· 1 shared Silvi RouskiniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Adam SychlaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

An RNA Language Model trained on sequence alone reveals the structural logic of Internal Ribosome Entry Sites

Adam Sychla, Pierre Bongrand, Grant Yang, Anoop Krishnan, Jacob Rulison, R. Alexander Wesselhoeft, Namita Bisaria, Silvi Rouskin

Continued pretraining of an RNA language model on picornaviral 5′ UTRs alone predicts IRES base pairs with median precision 0.80 versus 0.47 for Infernal, and reveals a Type II subclass.

bioRxiv · Sep 24, 2026 · PreprintMolecular Biology✦ In-depth digest

BRIDGE: Biological Antimicrobial Resistance Inference via Domain-Knowledge Graph Embeddings

Aravind Iyer, Yusuff Kazeem, Somayeh Kafaie, Enayat Rajabi

BRIDGE improves antimicrobial resistance gene prediction by integrating gene neighbourhood and protein-protein interaction data, achieving 97% classification accuracy.

bioRxiv · Feb 11, 2026 · PreprintBioinformatics