Author

Tom Weingarten

Google (United States)

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 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Arshdeep SekhoniD· 1 shared Clint L. MilleriD· 1 shared Jack LanchantiniD· 1 shared Yanjun QiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Arshdeep SekhonORCID

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1 paper

Recent·Most cited

Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences

Jack Lanchantin, Tom Weingarten, Arshdeep Sekhon, Clint L. Miller, Yanjun Qi

The paper introduces DeepVHPPI, a deep learning framework for predicting virus-host protein interactions for novel virus sequences, showing significant improvements over existing methods for SARS-CoV-2, H1N1, and Ebola.

ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · Jul 30, 2021Peer-reviewedBioinformatics