Chihyun Park
Overview
Explore the profile of Chihyun Park including associated specialties, affiliations and a list of published articles.
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Articles
42
Citations
349
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Recent Articles
1.
Heo R, Lee D, Kim B, Seo S, Park S, Park C
Comput Biol Med
. 2025 Mar;
189:109927.
PMID: 40024184
Motivation: Accurately predicting drug-target protein interactions (DTI) is a cornerstone of drug discovery, enabling the identification of potential therapeutic compounds. Sequence-based prediction models, despite their simplicity, hold great promise in...
2.
Jang H, Seo S, Park S, Kim B, Choi G, Choi J, et al.
J Comput Aided Mol Des
. 2024 Aug;
38(1):32.
PMID: 39190191
Over the last decade, automatic chemical design frameworks for discovering molecules with drug-like properties have significantly progressed. Among them, the variational autoencoder (VAE) is a cutting-edge approach that models the...
3.
Choi S, Seo S, Kim B, Park C, Park S
Comput Biol Med
. 2024 Jul;
180:108865.
PMID: 39067153
Designing drugs capable of binding to the structure of target proteins for treating diseases is essential in drug development. Recent remarkable advancements in geometric deep learning have led to unprecedented...
4.
Cho H, Park Y, Moon S, Park C, Jung H, Namkoong S
Biochem Biophys Res Commun
. 2024 Jan;
697:149497.
PMID: 38262290
Stress granule (SG) is a temporary cellular structure that plays a crucial role in the regulation of mRNA and protein sequestration during various cellular stress conditions. SG enables cells to...
5.
Han H, Park C, Lee C, Ahn J
Nanoscale
. 2023 Oct;
15(41):16669-16674.
PMID: 37801026
Overexpression of telomerase incites the abnormal proliferation of cancer cells. Thus, it has been regarded as a cancer biomarker and a potential therapeutic target. Existing assays suggest a promising sensing...
6.
Yang S, Jang H, Park I, Lee H, Lee K, Oh G, et al.
Ann Surg Oncol
. 2023 Aug;
30(13):8717-8726.
PMID: 37605080
Background: This study aimed to investigate the clinical significance of machine-learning (ML) algorithms based on serum inflammatory markers to predict survival outcomes for patients with colorectal cancer (CRC). Methods: The...
7.
Kasani P, Lee J, Park C, Yun C, Jang J, Lee S
Front Nutr
. 2023 May;
10:1165854.
PMID: 37229464
Introduction: Depression is a prevalent disorder worldwide, with potentially severe implications. It contributes significantly to an increased risk of diseases associated with multiple risk factors. Early accurate diagnosis of depressive...
8.
Park C, Lee J, Park W, Lee D
Forensic Sci Int
. 2023 Mar;
346:111646.
PMID: 37001430
Using a practical GC-MS dataset containing approximately 4000 suspected arson cases, three machine-learning based classification models were developed and their performances were evaluated. All models trained for classifying the data...
9.
Choi J, Seo S, Choi S, Piao S, Park C, Ryu S, et al.
Comput Biol Med
. 2023 Mar;
157:106721.
PMID: 36913852
The discovery of drugs to selectively remove disease-related cells is challenging in computer-aided drug design. Many studies have proposed multi-objective molecular generation methods and demonstrated their superiority using the public...
10.
Park J, Han H, Jeung J, Jang H, Park C, Ahn J
Biosens Bioelectron X
. 2022 Nov;
12:100283.
PMID: 36405495
Herein, we described a washing- and label-free clustered regularly interspaced short palindromic repeats (CRISPR)/Cas13a-based RNA detection method utilizing a personal glucose meter (PGM), which relies on the -cleavage activity of...