Myeong-Sang Yu

According to our database, Myeong-Sang Yu authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history.

Daeahn Cho, Myeong-Sang Yu, Jeongyoon Shin, Jingyu Lee, Yubin Kim, Hoon-Chul Kang, Se Hee Kim, Dokyun Na

BMC Medical Informatics Decis. Mak., April, 2024

2023

A machine learning-based quantitative model (LogBB_Pred) to predict the blood-brain barrier permeability (logBB value) of drug compounds.

Bilal Shaker, Jingyu Lee, Yunhyeok Lee, Myeong-Sang Yu, Hyang-Mi Lee, Eunee Lee, Hoon-Chul Kang, Kwang-Seok Oh, Hyung Wook Kim, Dokyun Na

Bioinform., October, 2023

2021

LightBBB: computational prediction model of blood-brain-barrier penetration based on LightGBM.

Bilal Shaker, Myeong-Sang Yu, Jin Sook Song, Sunjoo Ahn, Jae Yong Ryu, Kwang-Seok Oh, Dokyun Na

Bioinform., 2021

2020

2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor.

Myeong-Sang Yu, Jingyu Lee, Yongmin Lee, Dokyun Na

BMC Bioinform., 2020

2019

<i>In silico</i> approaches and tools for the prediction of drug metabolism and fate: A review.

Sayada Reemsha Kazmi, Ren Jun, Myeong-Sang Yu, Chanjin Jung, Dokyun Na

Comput. Biol. Medicine, 2019

Computational determination of hERG-related cardiotoxicity of drug candidates.

Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee, Dokyun Na

BMC Bioinform., 2019

2018

In silico prediction of potential chemical reactions mediated by human enzymes.

Myeong-Sang Yu, Hyang-Mi Lee, Aaron Park, Chungoo Park, Hyithaek Ceong, Ki-Hyeong Rhee, Dokyun Na

BMC Bioinform., 2018

2015

Evaluation of Disease-Associated Text-Mining Databases.

Myeong-Sang Yu, Dokyun Na

Proceedings of the ACM Ninth International Workshop on Data and Text Mining in Biomedical Informatics, 2015