Author

Justin Clement Purnomo

University of California SystemORCID 0000-0003-3316-4231Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:experimental assay· 1 Approach:large language model· 1 Assay:protein structure· 1

Frequent Co-Authors

Kunyang SuniD· 2 shared Teresa L. Head-GordoniD· 2 shared Giovanni Battista Alteri· 1 shared Joseph CavanaghiD· 1 shared Yingze WangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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2 shared papersBioinformatics

Kunyang SunORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedAug 18, 2026

LinkLlama: Enabling Large Language Model for Chemically Reasonable Linker Design

Kunyang Sun, Yingze Wang, Justin Clement Purnomo…·Teresa L. Head-Gordon

LinkLlama improves linker design by combining natural language prompts with 3D spatial awareness, achieving higher chemical validity than existing methods.

DOI 10.1021/acs.jcim.6c01261

large language modeldrug response / drug discovery

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Molecular BiologybioRxivPreprintJul 21, 2026

CAFE: A Co-folding Approach for Fragment Exploration of Allosteric and Cryptic Binding Sites

Justin Clement Purnomo, Kunyang Sun, Teresa L. Head-Gordon

CAFE improves co-folding models for discovering allosteric and cryptic binding sites by using orthosteric blockers to guide fragment exploration.

DOI 10.64898/2026.07.19.739466

protein structurecontrastive learning

𝕏 PostBluesky