Author

Jaemin Oh

Brown UniversityORCID 0000-0003-1648-8656Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1

Frequent Co-Authors

Byung-Jun YooniD· 2 shared Xiaoning QianiD· 2 shared A N M Nafiz AbeeriD· 1 shared María I. GiraldoiD· 1 shared Nikolaos Vasilakis· 1 shared Raj S. RoyiD· 1 shared Scott C. WeaveriD· 1 shared Tesuro Ikegami· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Byung-Jun YoonORCID

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2 papers

Recent·Most cited

BioinformaticsNAR Molecular MedicinePeer-reviewedMar 30, 2026

An Integrated Computational Antigen Discovery Pipeline with Hierarchical Filtering for Emerging Viral Variants

Raj S. Roy, Jaemin Oh, A N M Nafiz Abeer…·Xiaoning Qian

This paper introduces a computational pipeline for antigen discovery that uses filtering and machine learning to identify conserved neutralizing epitopes in viruses like SARS-CoV-2 and RVFV.

DOI 10.1093/narmme/ugag024

virusmachine learning (classical)

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 25, 2026

Rapid sequence-based screening of structure-disrupting protein mutations

Jaemin Oh, Xiaoning Qian, Byung-Jun Yoon

The paper develops a sequence-based method to identify structure-disrupting mutations using protein language models, reducing the need for expensive structure prediction.

DOI 10.64898/2026.02.24.707693

protein sequencestatistical model

𝕏 PostBluesky