Author

Jason Andrew Amburn

University of Tennessee at KnoxvilleORCID 0000-0001-8752-3709Unclaimed 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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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Jeremy C. SmithiD· 2 shared Ana Cristina Chang-GonzaleziD· 1 shared Christopher W. MothiD· 1 shared Jackson C. Stempel· 1 shared Jens MeileriD· 1 shared Jerry M. ParksiD· 1 shared Micholas Dean SmithiD· 1 shared Shalini J. RukmaniiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Jeremy C. SmithORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 27, 2026

AltereGO: Prediction of Protein Function by Multimodal Fusion of Protein Language Models.

Jason Andrew Amburn, Jackson C. Stempel, Ana Cristina Chang-Gonzalez…·Jeremy C. Smith

AltereGO fuses protein language models and structure representations to predict molecular functions, achieving better performance than individual models and some existing methods.

DOI 10.64898/2026.10.23.761425

protein sequencedeep learning

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Molecular BiologyACS OmegaPeer-reviewedFeb 28, 2026

IRIS: A Machine Learning-Based Pose Re-Ranking Tool for RNA-Ligand Docking

Jason Andrew Amburn, Shalini J. Rukmani, Jerry M. Parks, Jeremy C. Smith

IRIS improves RNA-ligand docking pose ranking by integrating a regression model trained on experimental complexes, increasing accuracy in selecting near-native poses.

3 citationstop 2%

machine learning (classical)drug response / drug discovery

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