Tomohiro Sato 研究室

主宰者：Tomohiro Sato

理化学研究所・RIKEN Center for Integrative Medical Sciences

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（33 件）

[2026] Supplementary Figure S7 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710000
[2026] Supplementary Figure S1 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710021
[2026] Supplementary Figure S6 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710003
[2026] Supplementary Figure S4 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710012
[2026] Supplementary Figure S9 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32709994
[2026] Supplementary Figure S3 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710015
[2026] Supplementary Figure S8 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32709997
[2026] Supplementary Figure S2 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710018
[2026] Supplementary Figure S5 from Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.32710009
[2025] Discovery of potent substrate-type lysine methyltransferase G9a inhibitors for the treatment of sickle cell disease
DOI: https://doi.org/10.1016/j.ejmech.2025.117721

続きを表示（残り 23 件）

[2025] A data-driven generative strategy to avoid reward hacking in multi-objective molecular design
DOI: https://doi.org/10.1038/s41467-025-57582-3
[2025] Large language models open new way of AI-assisted molecule design for chemists
DOI: https://doi.org/10.1186/s13321-025-00984-8
[2024] Inhibition of PSF Activity Overcomes Resistance to Treatment in Cancers Harboring Mutant p53
DOI: https://doi.org/10.1158/1535-7163.mct-24-0418
[2024] Plate Forming Simulation by MD:
DOI: https://doi.org/10.1299/jsmemecj.2024.j221p-06
[2024] Development of Environmentally Friendly Composite Materials for 3D Modeling
DOI: https://doi.org/10.2497/jjspm.23-00075
[2024] Structure-based development of novel substrate-type G9a inhibitors as epigenetic modulators for sickle cell disease treatment
DOI: https://doi.org/10.1016/j.bmcl.2024.129856
[2023] Discovery of Novel Substrate-Competitive Lysine Methyltransferase G9a Inhibitors as Anticancer Agents
DOI: https://doi.org/10.1021/acs.jmedchem.2c02059
[2023] Development of Composite Materials for Additive Manufacturing using Environmentally Friendly Materials
DOI: https://doi.org/10.59499/ep235763571
[2022] Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search
DOI: https://doi.org/10.1021/acs.jcim.2c00787
[2022] Design and Synthesis of Tranylcypromine-Derived LSD1 Inhibitors with Improved hERG and Microsomal Stability Profiles
DOI: https://doi.org/10.1021/acsmedchemlett.2c00120
[2022] Optimization of LIB Electrolyte and Exploration of Novel Compounds via the Molecular Dynamics Method
DOI: https://doi.org/10.3390/batteries8030027
[2022] Study on damage evaluation of bimetal with the lead-free copper alloy (Life evaluation in bending fatigue test with AE method)
DOI: https://doi.org/10.1299/transjsme.22-00019
[2022] Identification of fracture types of CFRP laminate plates with AE method and data mining methods
DOI: https://doi.org/10.1299/jsmekansai.2022.97.20106
[2022] Utilizing public and private sector data to build better machine learning models for the prediction of pharmacokinetic parameters
DOI: https://doi.org/10.1016/j.drudis.2022.103339
[2021] Quantitative prediction of hERG inhibitory activities using support vector regression and the integrated hERG dataset in AMED cardiotoxicity database
DOI: https://doi.org/10.1273/cbij.21.70
[2021] Pseudo Generation of Metallographic Images and Verification of Superiority for Discrimination Problems -Applying Adversarial Generative Networks-
DOI: https://doi.org/10.2497/jjspm.68.317
[2021] Anthocyanin 5,3′-aromatic acyltransferase from Gentiana triflora, a structural insight into biosynthesis of a blue anthocyanin
DOI: https://doi.org/10.1016/j.phytochem.2021.112727
[2021] Novel bicyclic pyrazoles as potent ALK2 (R206H) inhibitors for the treatment of fibrodysplasia ossificans progressiva
DOI: https://doi.org/10.1016/j.bmcl.2021.127858
[2021] Study on time-dependent crack initiation law from Epoxy/SUS interface edges
DOI: https://doi.org/10.1299/jsmekansai.2021.96.3104
[2021] FMODB: The World’s First Database of Quantum Mechanical Calculations for Biomacromolecules Based on the Fragment Molecular Orbital Method
DOI: https://doi.org/10.1021/acs.jcim.0c01062
[2021] Molecular Dynamics Modelling of the Plastic Deformation Behavior of Fe-Cr Binary Alloys
DOI: https://doi.org/10.1299/jsmemecj.2021.j031-30
[2021] Effect of Grain Boundary Structure on Yielding and Plastic Deformation of Magnesium
DOI: https://doi.org/10.1299/jsmecmd.2021.34.063
[2021] Constructing Machine-learned Interatomic Potentials for Covalent Bonding Materials and MD Analyses of Dislocation and Surface
DOI: https://doi.org/10.1299/jsmecmd.2021.34.127

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（33 件）

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