Author

Varun Ullanat

R.V. College of EngineeringPrimary ORCID profile (0000-0002-1238-7041 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Varun UllanatiD2 papers · Tata Institute of Fundamental Research

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1

Frequent Co-Authors

Aditi Gopalan· 2 shared Kishore HariiD· 2 shared Mohit Kumar JollyiD· 2 shared Archana BalasubramanianiD· 1 shared Atchuta Srinivas DudduiD· 1 shared Bonnie BergeriD· 1 shared Bowen Jing· 1 shared Pradyumna HarlapuriD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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2 shared papersSystems Biology

Aditi Gopalan

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Author profile →

3 papers

Recent·Most cited

Learning the language of protein-protein interactions

Varun Ullanat, Bowen Jing, Samuel Sledzieski, Bonnie Berger

The paper introduces MINT, a protein language model designed to model protein-protein interactions, outperforming existing models in tasks like binding affinity prediction and mutational effect estimation.

Nature Communications · Jan 7, 2026Peer-reviewedBioinformatics

Emergent properties of coupled bistable switches

Kishore Hari, Pradyumna Harlapur, Aditi Gopalan, Varun Ullanat, Atchuta Srinivas Duddu, Mohit Kumar Jolly

This study investigates how couplings between bistable switches affect multistability and phenotypic space using simulation methods.

Journal of Biosciences · Dec 16, 2022Peer-reviewedSystems Biology

Landscape of epithelial-mesenchymal plasticity as an emergent property of coordinated teams in regulatory networks

Kishore Hari, Varun Ullanat, Archana Balasubramanian, Aditi Gopalan, Mohit Kumar Jolly

The paper identifies 'teams' of nodes in regulatory networks that shape phenotypic landscapes, showing how network topology determines phenotypic distributions without simulation.

eLife · Oct 21, 2022Peer-reviewedSystems Biology