ABOUT
Katsuhisa MORITA, Ph. D.
2020-2024 WINGS-LST program student
2022-2024 JSPS Research Fellowship for Young Scientists (DC2)
Research subject: Establishment of a platform linking compounds and immune responses to understand drug-induced liver injury
Email: moritakatsuhisa0research[at]gmail.com
EDUCATION
2024.4~ Current affiliation
2024.3 Dr's degree in Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, The University of Tokyo (Advisor: Prof. Hiroyuki KUSUHARA)
Dissertation: "Research on numerization of biological response in vivo to drugs"
2021.3 Master's degree in Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, The University of Tokyo (Advisor: Prof. Hiroyuki KUSUHARA)
Dissertation: "Development of methodologies for acquiring knowledge oriented to understanding immune responses in liver injury"
2019.3 Graduated from the Department of Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, The University of Tokyo (Advisor: Prof. Hiroyuki KUSUHARA)
2015.3 Graduated from Waseda High School
RESEARCH INTEREST
・Bioinforamtics
・Liver injury
・Immune response
・Toxicity prediction
・Pathological image analysis
PUBLICATIONS
[1]. Iori Azuma, Tadahaya Mizuno, Katsuhisa Morita, Hiroyuki Kusuhara,
“Investigation of the usefulness of liver-specific deconvolution method toward legacy data utilization”, NARGAB, 2024
[2]. Katsuhisa Morita, Tadahaya Mizuno, Iori Azuma, Hiroyuki Kusuhara,
“Rat Deconvolution as Knowledge Miner for Immune Cell Trafficking from Toxicogenomics Databases”, Tox Sci, 2023
[3]. Tadahaya Mizuno, Shumpei Nemoto, Katsuhisa Morita, Hiroyuki Kusuhara,
“Understanding of Multiple Effects of Low Molecular Weight Compounds with Factor Analysis”, Yakugaku zasshi journal of the Pharmaceutical Society of Japan, 2023
[4]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning”, J Chem Inf Model, 2022
[5]. Shumpei Nemoto*, Katsuhisa Morita*, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Decomposition Profile Data Analysis for Deep Understanding of Multiple Effects of Natural Products”, J Nat Prod, 2021 (*: equal contribution)
[6]. Tadahaya Mizuno, Katsuhisa Morita, Hiroyuki Kusuhara,
“Interesting Property of Profile Data Analysis in Understanding and Utilization of Effects of Drugs”, Biol Pharm Bull, 2020
[7]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Decomposition Profile Data Analysis of Multiple Drug Effects Identifies Endoplasmic Reticulum Stress-Inducing Ability as an Unrecognized Factor”, Sci Rep, 2020
CONFERENCES [Oral]
[1]. 森田 勝久, 水野 忠快, 東 一織, 楠原 洋之,
“Investigation of factors contributing to the estimation accuracy of deconvolution toward application to large-scale toxicogenomics databases”, 2023 ICCP450/JSSX, Shizuoka, Japan, 09/2023
[2]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Importance of an evaluation strategy using the time axis in adverse event prediction with machine learning”, GPEN 2022, MN, USA, 10/2022
[3]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Time-based splitting of the dataset oriented to real-world prediction affects prediction performance of the adverse events of the drugs”, ASPTJ 37, online, 05/2022
[4]. Katsuhisa Morita, Shumpei Nemoto, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Investigation of effects of structurally similar compounds with decomposition profile data analysis toward hit-to-lead optimization”, PRIS2021, online, 11/2021
[5]. Katsuhisa Morita, Shumpei Nemoto, Tadahaya Mizuno, Hiroyuki Kusuhara,
“低分子化合物トランスクリプトームプロファイルデータの作用分離解析による新規側面の検出”, ASPTJ 36, 2D-20, Online, 05/2021
[6]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“プロファイルデータ分離解析による天然物誘導体シロシンゴピンのHDAC阻害作用の発見”, The 141nd Annual Meeting of the Pharmaceutical Society of Japan, 27V09-pm03S, Online, 03/2021
[7]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“プロファイルデータ解析による薬理作用分解に基づいた薬物の潜在的小胞体ストレス誘導側面の検出”, The 140nd Annual Meeting of the Pharmaceutical Society of Japan, 27Y-am12S, Kyoto, Japan, 03/2020
CONFERENCES [Poster]
[1]. Katsuhisa Morita, Tadahaya Mizuno, Iori Azuma, Hiroyuki Kusuhara,
“Investigation of factors contributing to the estimation accuracy of deconvolution toward application to large-scale toxicogenomics databases”, 2023 ICCP/JSSX 1P-253, Shizuoka, Japan, 09/2023
[2]. Katsuhisa Morita, Shumpei Nemoto, Tadahaya Mizuno, Hiroyuki Kusuhara,
“遺伝子発現プロファイルの分離解析による天然物の新規側面の発見”, 第5回トランスポーター研究会関東部会 153, Online, 11/2020
[3]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“プロファイルデータ解析による薬理作用の分解に基づいた潜在的小胞体ストレス誘導能の予測”, 日本分子生物学会年会 1P-0645, Fukuoka, Japan, 12/2019
[4]. Katsuhisa Morita, Tadahaya Mizuno, Hiroyuki Kusuhara,
“Detection of Latent ER Stress Inducibility of Drugs by Decomposing Multiple Effects of a Drug with Profile Data Analysis”, The 3rd Workshop for Japan-Korea Young Scientists on Pharmaceutics, Urayasu, Tokyo, Japan, 07/2019