Author

Min‐Soo Choi

Seoul National UniversityORCID 0000-0002-8053-3805Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2 Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Assay:metabolomics· 1

Frequent Co-Authors

Geon HeoiD· 2 shared Jungmin LeeiD· 2 shared Youngsung JooiD· 2 shared Balaji EnuguttiiD· 1 shared Brian E. SedioiD· 1 shared Chung Hyun ChoiD· 1 shared Colin RuprechtiD· 1 shared Dale L. ForristeriD· 1 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersPlant Biology

Geon HeoORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

EcologyNew PhytologistPeer-reviewedSep 16, 2026

eCOMET: An R package for evaluating metabolic diversity and enrichment from LC-MS/MS data to test ecological hypotheses from individuals to ecosystems

Min‐Soo Choi, Dale L. Forrister, Guillaume J. Dury…·Youngsung Joo

eCOMET integrates metabolomics tools and provides statistical analysis for ecological studies, enabling researchers to assess metabolic diversity and test ecological hypotheses.

DOI 10.1111/nph.71589

metabolomicsstatistical model

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Plant BiologyNature PlantsPeer-reviewedJul 14, 2025

Mature leaves produce a multi-layered wound periderm by integrating phytohormone signaling with ATML1-mediated epidermal specification

Jungmin Lee, Woo-Taek Jeon, Minsoo Han…·Yuree Lee

The paper identifies a multi-layered wound periderm in Arabidopsis leaves formed by mesophyll cells adopting an epidermal fate, regulated by phytohormone signaling and ATML1.

15 citationstop 2%

Arabidopsisexperimental assay

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Plant BiologybioRxivPreprintJan 29, 2025

High-throughput glycan array screening reveals rhamnogalacturonan-I as a ligand for Arabidopsis leucine-rich repeat receptor kinases

Du‐Hwa Lee, Colin Ruprecht, Jungmin Lee…·Fabian Pfrengle

2 citations

Arabidopsisproteomics

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BioinformaticsbioRxivPreprintMar 21, 2023

READRetro: Natural Product Biosynthesis Planning with Retrieval-Augmented Dual-View Retrosynthesis

Seul Lee, Taein Kim, Min‐Soo Choi…·Sang‐Gyu Kim

READRetro is a bio-retrosynthesis tool that improves pathway prediction for natural products by balancing generalizability and memorability, outperforming existing models.

1 citation

plant (other)deep learning

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