Shimizu Hideyuki

シミズヒデユキ | Shimizu Hideyuki

Affiliation and department：
Job title： Professor
Homepage URL (1)： https://shimizuhideyuki-lab.org/

Research field (3)： Systems genomics , Biological, health, and medical informatics , Molecular biology

Research keywords (7)： Systems Medicine , システム生物学 , 人工知能 , AI創薬 , 合成生物学 , タンパク工学 , クリニカルインフォマティクス

Research theme for competitive and other funds (4)：

2021 - 2023 Data-driven approach to identify prognostic determinants and therapeutic targets for lung cancer
2021 - 2023 人工冬眠ペプチドのデザイン法則の発見と治療応用
2019 - 2021 胃がん・大腸がんのユニバーサル予後予測法の開発とその治療応用
2015 - 2018 乳癌における播種性腫瘍細胞の静止期維持機構の解明と新規治療法の開発

Papers (18)：

Kodama M, Toyokawa G, Sugahara O, Sugiyama S, Haratake N, Yamada Y, Wada R, Takamori S, Shimokawa M, Takenaka T, et al. Modulation of host glutamine anabolism enhances the sensitivity of small cell lung cancer to chemotherapy. Cell Reports. 2023. 42. 8. 112899-112899
Fujinuma S, Nakatsumi H, Shimizu H, Sugiyama S, Harada A, Goya T, Tanaka M, Kohjima M, Takahashi M, Izumi Y, et al. FOXK1 promotes nonalcoholic fatty liver disease by mediating mTORC1-dependent inhibition of hepatic fatty acid oxidation. Cell Reports. 2023. 42. 5. 112530-112530
Hozumi H, Shimizu H. Bayesian network enables interpretable and state-of-the-art prediction of immunotherapy responses in cancer patients. PNAS Nexus. 2023. 2. 5. pgad133
Shimizu H, Kodama M, Matsumoto M, Orba Y, Sasaki Y, Sato A, Sawa H, Nakayama KI. LIGHTHOUSE illuminates therapeutics for a variety of diseases including COVID-19. iScience. 2022. 25. 11. 105314-105314
Habara M, Sato Y, Goshima T, Sakurai M, Imai H, Shimizu H, Katayama Y, Hanaki S, Masaki T, Morimoto M, et al. FKBP52 and FKBP51 Differentially Regulate the Stability of Estrogen Receptor in Breast Cancer. Proc Natl Acad Sci U S A. 2022. 119. 15. e2110256119

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MISC (5)：

Harnessing the natural trypsin antagonist SPINK-1 for targeted treatment of acute pancreatitis. 52nd Annual Meeting of the American Pancreatic Association. 2021
清水秀幸. がん生存率 AIで予測. 日経新聞. 2018
清水秀幸. 癌細胞はエクソソームを介してより転移能の高い細胞を模倣する. 細胞工学. 2015. 34. 9
清水秀幸. 血糖降下・抗炎症作用を持つ内在性の新規脂質群の発見. 細胞工学. 2015. 34. 1
Shinichi Fukushige, Hideyuki Shimizu, Yuko Sato, Akira Horii. Identification of novel targets for aberrant methylation in pancreatic cancer by a newly developed method "methyl-CpG targeted transcriptional activation (MeTA)". CANCER RESEARCH. 2010. 70

Patents (2)：

Books (1)：

Lectures and oral presentations (12)：

Machine learning-guided drug discovery: Beyond protein structures
(第45回日本分子生物学会年会 2022)
抗原提示の法則をデータサイエンスで紐解く
(東京医科歯科大学重点領域研究全体会議 2022)
データサイエンスによる次世代型医療への挑戦
(東京大学理学部第1412回生物科学セミナー 2022)
Machine learning uncovers novel aspects in healthcare and life science
(第42回日本分子生物学会年会シンポジウム 2019)
An AI-based Scoring System Precisely Predicts Overall Survival of Breast Cancer Patients
(第14回研究所ネットワーク国際シンポジウム 2019)

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Education (3)：

Professional career (1)：

Work history (8)：

2022/10 - 現在 JST・さきがけ研究者
2022/02 - 現在 Tokyo Medical and Dental University Department of AI Systems Medicine, M&D Data Science Center Professor
2021/04 - 2022/01 Wyss Institute for Biologically Inspired Engineering Research Fellow
2021/04 - 2022/01 Harvard Medical School, Department of Systems Biology Research Fellow
2020/10 - 2021/03 Kyushu University Research Assistant Professor

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Awards (6)：

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Association Membership(s) (4)：

THE JAPANESE SOCIETY OF INTERNAL MEDICINE , JAPANESE SOCIETY FOR BIOINFORMATICS , THE MOLECULAR BIOLOGY SOCIETY OF JAPAN , 人工知能学会

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