Shimizu Hideyuki 清水秀幸

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Hideyuki Shimizu 清水秀幸

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Researcher Number	70826263
Other IDs
Affiliation (Current)	2025: 東京科学大学, 総合研究院, 教授
Affiliation (based on the past Project Information) *help	2025: 東京科学大学, M&Dデータ科学センター, 教授 2021 – 2024: 東京医科歯科大学, M&Dデータ科学センター, 教授 2019 – 2020: 九州大学, 生体防御医学研究所, 学術研究員
Review Section/Research Field	Principal Investigator Basic Section 62010:Life, health and medical informatics-related / Transformative Research Areas, Section (II) / Medium-sized Section 62:Applied informatics and related fields Except Principal Investigator Basic Section 62010:Life, health and medical informatics-related
Keywords	Principal Investigator 人工知能 / 層別化 / 個別化医療 / 創薬 / 深層学習 / 量子化学 / 抗がん剤 / システム生物学 / がん / 抗がん剤予測モデル … More / バイオインフォマティクス / がん併用療法 / ケモインフォマティクス / 薬力学 / 薬物動態学 / 治療法 / データ科学 / 免疫チェックポイント阻害薬 / 肺がん / 大規模データ / 予後予測 / 予後 / 胃がん / 大腸がん / 消化器がん … More Except Principal Investigator 臓器連関 / シングルセル解析 / 代謝 / 深層学習 Less

メタゲノムに隠された抗菌ペプチドの予知と進化創出Principal Investigator
- Principal Investigator
  
  清水秀幸
- Project Period (FY)
  2025 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Institute of Science Tokyo
Deep learning of human whole body metabolism and organ-organ interactions
- Principal Investigator
  
  大野聡
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Tokyo Medical and Dental University
医薬品としての出口を目指した潜在空間探索のための化合物マルチパラメーター精密推定Principal Investigator
- Principal Investigator
  
  清水秀幸
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tokyo Medical and Dental University
Personalized Cancer Treatment Strategies with Systems Biology and AIPrincipal Investigator
- Principal Investigator
  
  清水秀幸
- Project Period (FY)
  2023 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Tokyo Medical and Dental University
人工知能と理論化学の融合による中分子創薬プラットフォームPrincipal Investigator
- Principal Investigator
  
  清水秀幸
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Medium-sized Section 62:Applied informatics and related fields
- Research Institution
  Tokyo Medical and Dental University
Data-driven approach to identify prognostic determinants and therapeutic targets for lung cancerPrincipal Investigator
- Principal Investigator
  
  Shimizu Hideyuki
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Tokyo Medical and Dental University
Development and clinical application of universal prognostic score for gastrointestinal tumorsPrincipal Investigator
- Principal Investigator
  
  Hideyuki Shimizu
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Kyushu University

All 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Modulation of host glutamine anabolism enhances the sensitivity of small cell lung cancer to chemotherapy.2023
- Author(s)
  Kodama M, Toyokawa G, Sugahara O, Sugiyama S, Haratake N, Yamada Y, Wada R, Takamori S, Shimokawa M, Takenaka T, Tagawa T, Kittaka H, Tsuruda T, Tanaka K, Komatsu Y, Nakata K, Imado Y, Yamazaki K, Okamoto I, Oda Y, Takahashi M, Izumi Y, Bamba T, Shimizu H, Yoshizumi T, Nakayama KI*.
- Journal Title
  
  Cell Reports
  
  Volume: 42(8) Issue: 8 Pages: 112899-112899
- DOI
  10.1016/j.celrep.2023.112899
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K18924, KAKENHI-PROJECT-23K18502, KAKENHI-PLANNED-22H05185, KAKENHI-PROJECT-23K23151
[Journal Article] Bayesian network enables interpretable and state-of-the-art prediction of immunotherapy responses in cancer patients2023
- Author(s)
  Hozumi Hideki、Shimizu Hideyuki
- Journal Title
  
  PNAS Nexus
  
  Volume: 2 Issue: 5
- DOI
  10.1093/pnasnexus/pgad133
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17856, KAKENHI-PROJECT-23K18502, KAKENHI-PROJECT-23K28184
[Journal Article] Kastor and Polluks polypeptides encoded by a single gene locus cooperatively regulate VDAC and spermatogenesis.2022
- Author(s)
  Mise S#, Matsumoto A#*, Shimada K, Hosaka T, Takahashi M, Ichihara K, Shimizu H, Shiraishi C, Saito D, Suyama M, Yasuda T, Ide T, Izumi Y, Bamba T, Kimura-Someya T, Shirouzu M, Miyata H, Ikawa M, Nakayama KI*.
- Journal Title
  
  Nat. Commun.
  
  Volume: 13(1) Issue: 1 Pages: 1071-1071
- DOI
  10.1038/s41467-022-28677-y
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K05167, KAKENHI-PROJECT-20K21397, KAKENHI-PROJECT-18H05215, KAKENHI-PLANNED-17H06304, KAKENHI-PROJECT-20J11940, KAKENHI-PROJECT-18K06157, KAKENHI-PROJECT-20K16107, KAKENHI-PROJECT-21K17856, KAKENHI-PROJECT-21H02751, KAKENHI-PROJECT-20K15101, KAKENHI-PLANNED-20H05928
[Journal Article] LIGHTHOUSE illuminates therapeutics for a variety of diseases including COVID-192022
- Author(s)
  Shimizu Hideyuki、Kodama Manabu、Matsumoto Masaki、Orba Yasuko、Sasaki Michihito、Sato Akihiko、Sawa Hirofumi、Nakayama Keiichi I.
- Journal Title
  
  iScience
  
  Volume: 25 Issue: 11 Pages: 105314-105314
- DOI
  10.1016/j.isci.2022.105314
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K19288, KAKENHI-PROJECT-20K21386, KAKENHI-PROJECT-21K17856, KAKENHI-PLANNED-20H05930, KAKENHI-PROJECT-23K23870, KAKENHI-PROJECT-18H05215
[Journal Article] Combinatorial analysis of translation dynamics reveals eIF2 dependence of translation initiation at near-cognate codons2021
- Author(s)
  Ichihara Kazuya、Matsumoto Akinobu、Nishida Hiroshi、Kito Yuki、Shimizu Hideyuki、Shichino Yuichi、Iwasaki Shintaro、Imami Koshi、Ishihama Yasushi、Nakayama Keiichi I
- Journal Title
  
  Nucleic Acids Research
  
  Volume: 49 Issue: 13 Pages: 7298-7317
- DOI
  10.1093/nar/gkab549
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05215, KAKENHI-PUBLICLY-20H04844, KAKENHI-PROJECT-20H03241, KAKENHI-PROJECT-21H02404, KAKENHI-PROJECT-20J20906, KAKENHI-PROJECT-21J15131, KAKENHI-PROJECT-21K15023, KAKENHI-PROJECT-21K17856, KAKENHI-PROJECT-16H06276, KAKENHI-PROJECT-19K22406
[Journal Article] A universal molecular prognostic score for gastrointestinal tumors2021
- Author(s)
  Shimizu Hideyuki、Nakayama Keiichi I.
- Journal Title
  
  npj Genomic Medicine
  
  Volume: 6 Issue: 1 Pages: 6-6
- DOI
  10.1038/s41525-021-00172-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H05215, KAKENHI-PROJECT-19K20403
[Journal Article] Loss of Fbxw7 impairs development of and induces heterogeneous tumor formation in the mouse mammary gland2020
- Author(s)
  Onoyama Ichiro、Nakayama Shogo、Shimizu Hideyuki、Nakayama Keiichi I.
- Journal Title
  
  Cancer Research
  
  Volume: 80 Issue: 24 Pages: 5515-5530
- DOI
  10.1158/0008-5472.can-20-0271
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K09646, KAKENHI-PROJECT-18H05215, KAKENHI-PROJECT-19J10033, KAKENHI-PROJECT-19K20403
[Journal Article] A shift in glutamine nitrogen metabolism contributes to malignant progression of cancer.2020
- Author(s)
  Kodama M, Oshikawa K, Shimizu H, Yoshioka S, Takahashi M, Izumi Y, Bamba T, Tateishi C, Tomonaga T, Matsumoto M*, Nakayama KI*.
- Journal Title
  
  Nat. Commun.
  
  Volume: 11 Issue: 1 Pages: 1320-1320
- DOI
  10.1038/s41467-020-15136-9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K05167, KAKENHI-PROJECT-19K20403, KAKENHI-PROJECT-18H05215, KAKENHI-PLANNED-17H06304, KAKENHI-PUBLICLY-18H04903, KAKENHI-PUBLICLY-19H04969, KAKENHI-PUBLICLY-19H05243, KAKENHI-PROJECT-19K06543
[Journal Article] A Fail-Safe System to Prevent Oncogenesis by Senescence Is Targeted by SV40 Small T Antigen2020
- Author(s)
  Kiyotaka Oshikawa, Masaki Matsumoto, Manabu Kodama, Hideyuki Shimizu, Keiichi I Nakayama
- Journal Title
  
  Oncogene
  
  Volume: 39 Issue: 10 Pages: 2170-2186
- DOI
  10.1038/s41388-019-1139-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K06543, KAKENHI-PROJECT-19K20403, KAKENHI-PROJECT-18H05215, KAKENHI-PUBLICLY-18H04903, KAKENHI-PUBLICLY-19H04969, KAKENHI-PUBLICLY-19H05243
[Journal Article] Disruption of FBXL5-mediated cellular iron homeostasis promotes liver carcinogenesis2019
- Author(s)
  Muto Yoshiharu*、Moroishi Toshiro*、Ichihara Kazuya、Nishiyama Masaaki、Shimizu Hideyuki、Eguchi Hidetoshi、Moriya Kyoji、Koike Kazuhiko、Mimori Koshi、Mori Masaki、Katayama Yuta、Nakayama Keiichi I. (*Equal contribution)
- Journal Title
  
  The Journal of Experimental Medicine
  
  Volume: 216 Issue: 4 Pages: 950-965
- DOI
  10.1084/jem.20180900
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K19433, KAKENHI-PROJECT-18K19509, KAKENHI-PUBLICLY-17H05953, KAKENHI-PROJECT-18H02747, KAKENHI-PROJECT-16K07177, KAKENHI-PROJECT-17K19608, KAKENHI-PROJECT-16H06276, KAKENHI-PROJECT-19K20403, KAKENHI-PROJECT-18H05215, KAKENHI-PROJECT-15H05791, KAKENHI-PROJECT-19H03715
[Journal Article] A 23 gene-based molecular prognostic score precisely predicts overall survival of breast cancer patients2019
- Author(s)
  Shimizu H, Nakayama KI
- Journal Title
  
  EBioMedicine
  
  Volume: 46 Pages: 150-159
- DOI
  10.1016/j.ebiom.2019.07.046
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20403, KAKENHI-PROJECT-18H05215
[Presentation] Toward ultra-fast drug discovery for hundreds of pathogens2023
- Author(s)
  清水秀幸
- Organizer
  日米先端工学シンポジウム (JAFOE) シンポジウム
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K18502
[Presentation] Toward personalized cancer treatment through AI drug discovery2023
- Author(s)
  清水秀幸
- Organizer
  第82回日本癌学会学術総会
- Invited
- Data Source
  KAKENHI-PROJECT-23K28184
[Presentation] Toward personalized cancer treatment through AI drug discovery2023
- Author(s)
  清水秀幸
- Organizer
  第82回日本癌学会学術総会
- Invited
- Data Source
  KAKENHI-PROJECT-23K18502
[Presentation] ネクストパンデミックを数理情報科学との融合知で防ぐ2023
- Author(s)
  清水秀幸
- Organizer
  TMDU感染症センター記念シンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-23K18502
[Presentation] Future challenges of AI in oncology2023
- Author(s)
  清水秀幸
- Organizer
  Chugai Cancer Summit
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K18502
[Presentation] Future challenges of AI in oncology2023
- Author(s)
  清水秀幸
- Organizer
  Chugai Cancer Summit
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K28184
[Presentation] 抗がん剤の多剤併用療法の効果予測モデルの開発2023
- Author(s)
  大田航平, 古賀大介, 麻生啓文, 清水秀幸
- Organizer
  第46回日本分子生物学会年会
- Data Source
  KAKENHI-PROJECT-23K28184
[Presentation] Machine learning-guided drug discovery: Beyond protein structures2022
- Author(s)
  清水秀幸
- Organizer
  第45回日本分子生物学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-21K17856
[Presentation] An AI-based Scoring System Precisely Predicts Overall Survival of Breast Cancer Patients2019
- Author(s)
  清水秀幸
- Organizer
  第14回研究所ネットワーク国際シンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-19K20403
[Presentation] Machine learning uncovers novel aspects in healthcare and life science2019
- Author(s)
  清水秀幸
- Organizer
  第42回日本分子生物学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-19K20403

1. 大野聡 (60755734)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. ONOYAMA Ichiro

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
3. 和泉自泰

# of Collaborated Projects: 0 results

# of Collaborated Products: 3 results
4. 諸石寿朗

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
5. 松本雅記

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
6. 押川清孝

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
7. 中山啓子

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
8. 中山敬一

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

Shimizu Hideyuki 清水 秀幸

Hideyuki Shimizu 清水 秀幸

Research Projects

Research Products

Co-Researchers

メタゲノムに隠された抗菌ペプチドの予知と進化創出Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Deep learning of human whole body metabolism and organ-organ interactions

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

医薬品としての出口を目指した潜在空間探索のための化合物マルチパラメーター精密推定Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Personalized Cancer Treatment Strategies with Systems Biology and AIPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

人工知能と理論化学の融合による中分子創薬プラットフォームPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Data-driven approach to identify prognostic determinants and therapeutic targets for lung cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development and clinical application of universal prognostic score for gastrointestinal tumorsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Modulation of host glutamine anabolism enhances the sensitivity of small cell lung cancer to chemotherapy.2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bayesian network enables interpretable and state-of-the-art prediction of immunotherapy responses in cancer patients2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Kastor and Polluks polypeptides encoded by a single gene locus cooperatively regulate VDAC and spermatogenesis.2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] LIGHTHOUSE illuminates therapeutics for a variety of diseases including COVID-192022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Combinatorial analysis of translation dynamics reveals eIF2 dependence of translation initiation at near-cognate codons2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A universal molecular prognostic score for gastrointestinal tumors2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Loss of Fbxw7 impairs development of and induces heterogeneous tumor formation in the mouse mammary gland2020

Author(s)

Journal Title

Shimizu Hideyuki 清水秀幸

Hideyuki Shimizu 清水秀幸