Author

Nam‐Chul Cho

Korea Research Institute of Chemical TechnologyORCID 0000-0002-6735-1302Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

C. Chang YuniD· 1 shared Céline Sablon· 1 shared Hendrik Jan ThibautiD· 1 shared Heyrhyoung LyooiD· 1 shared Jae Yong RyuiD· 1 shared Jasmine Paulissen· 1 shared Jidon JangiD· 1 shared Johan H. NeytsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

C. Chang YunORCID

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2 papers

Recent·Most cited

PredHLM: quantitative and interpretable prediction of metabolic half-life in human liver microsomes

Jidon Jang, Nam‐Chul Cho, Jae Yong Ryu, Kwang‐Seok Oh

PredHLM predicts metabolic half-life in human liver microsomes using a quantitative machine learning model, achieving RMSE 0.507 and R2 0.431 on a test set.

bioRxiv · Oct 7, 2026 · PreprintBioinformatics

A high-throughput cell-based platform for Rhinovirus C research and antiviral drug discovery.

Heyrhyoung Lyoo, Yeranddy Aguiar Alpizar, Céline Sablon, Toon Röpke, Jasmine Paulissen, Madina Rasulova, Nathalie Thys, C. Chang Yun, Nam‐Chul Cho, Kai Dallmeier, Pieter Leyssen, Soo Bong Han, Johan H. Neyts, Hendrik Jan Thibaut

This paper develops a high-throughput imaging platform for RV-C research and antiviral drug discovery, identifying inhibitors through compound screening.

bioRxiv · Oct 28, 2025 · PreprintMicrobiology