Author

Ho-min Park

Ghent UniversityORCID 0000-0001-9937-8617Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 3 Organism:bacteria (other)· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

Arnout Van MessemiD· 4 shared Wesley De NeveiD· 4 shared Hyunjin ShimiD· 3 shared Joris VankerschaveriD· 3 shared Yunseol ParkiD· 3 shared Dongin MooniD· 1 shared Esla Timothy AnzakuiD· 1 shared Espoir K. KabangaiD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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4 shared papersBioinformatics

Arnout Van MessemORCID

Mutual co-authors in cluster

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 18, 2023

Discovering Biomarker Proteins and Peptides for Parkinson's Disease Prognosis Prediction with Machine Learning and Interpretability Methods

Ho-min Park, Espoir K. Kabanga, Dongin Moon…·Wesley De Neve

This study develops a machine learning pipeline to predict Parkinson's disease severity using CSF-MS data and identifies potential biomarkers.

2 citations

humanmetabolomics

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BioinformaticsbioRxivPreprintJan 4, 2023

CRISPR-Cas-Docker: Web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins

Ho-min Park, Jongbum Won, Yunseol Park…·Hyunjin Shim

CRISPR-Cas-Docker predicts optimal crRNA-Cas pairs using in silico docking and machine learning classification.

DOI 10.1101/2023.01.04.522819

machine learning (classical)software / tool

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BioinformaticsbioRxivPreprintJun 21, 2022

In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials

Ho-min Park, Yunseol Park, Urta Berani…·Hyunjin Shim

This study optimizes RNA-protein interactions for CRISPR-Cas13-based antimicrobials by improving in silico docking of crRNAs with Cas13 proteins.

DOI 10.1101/2022.06.21.496952

bacteria (other)CRISPR screen

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BioinformaticsPharmaceuticalsPeer-reviewedMar 4, 2022

Rethinking protein drug design with highly accurate structure prediction of anti-CRISPR proteins

Ho-min Park, Yunseol Park, Joris Vankerschaver…·Hyunjin Shim

This paper uses accurate structure prediction to analyze anti-CRISPR proteins and identifies new strategies for protein drug design.

23 citations

protein structuredeep learning

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