Author

Oliver Serang

University of MontanaORCID 0000-0003-1245-7051Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Aditya A. Agarwal· 1 shared Adrian W. Lange· 1 shared David A. YoungeriD· 1 shared David Noble· 1 shared Emily Engelhart· 1 shared James Harrang· 1 shared Jeffrey Adamo· 1 shared Julianus PfeufferiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperSynthetic Biology

Aditya A. Agarwal

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2 papers

Recent·Most cited

Synthetic BiologymAbsPeer-reviewedJul 22, 2025

AlphaBind, a Domain-Specific Model to Predict and Optimize Antibody-Antigen Binding Affinity

Aditya A. Agarwal, James Harrang, David Noble…·Ryan Emerson

AlphaBind predicts and optimizes antibody-antigen binding affinity using a domain-specific model trained on quantitative binding data.

17 citationstop 1%

protein sequencedeep learning

𝕏 PostBluesky

BioinformaticsJournal of Proteome ResearchPeer-reviewedJan 24, 2020

EPIFANY - A method for efficient high-confidence protein inference

Julianus Pfeuffer, Timo T. Sachsenberg, Tjeerd M. H. Dijkstra…·Oliver Kohlbacher

EPIFANY improves protein inference accuracy and efficiency by combining loopy belief propagation with convolution trees, outperforming existing methods on benchmark data.

22 citations

proteomicsstatistical model

𝕏 PostBluesky