Author

Bibhusha Ojha

University of South Florida;

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:large language model· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Alexander A Aksenov· 1 shared Alexander Semenov· 1 shared Alexey V Melnik· 1 shared Andrew Mitchell Pusey Roberts· 1 shared Dana Moradi· 1 shared Elizabeth A Coler· 1 shared Jennifer Goldstein· 1 shared Mark W Peczuh· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander A Aksenov

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1 paper

Recent·Most cited

DEEPNET-LLM: Highly accurate structure prediction of unknown metabolites from mass spectra via their molecular neighborhoods

Alexey V Melnik, Andrew Mitchell Pusey Roberts, Alexander Semenov, Dana Moradi, Elizabeth A Coler, Jennifer Goldstein, Bibhusha Ojha, Nathan J Swift, Suada Demirovic, Mark W Peczuh, Thomas D Horvath, Melinda A Engevik, Vladimir Boginski, Alexander A Aksenov

DEEPNET-LLM predicts unknown metabolite structures from mass spectra by leveraging molecular neighborhoods, achieving high accuracy in de novo structure prediction.

bioRxiv · Nov 3, 2026 · PreprintBioinformatics