口頭発表／ポスター発表
<English>
| 発表！ | 口頭発表賞 ポスター賞＆Like! Poster Award |
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| ▼口頭発表 演題一覧 | ▶ポスター発表 演題一覧 | |
| 各発表No.をクリックするとabstractが開きます。 | ||
＜カテゴリー＞
各発表No.をクリックするとabstractが開きます。
| O01 『データサイエンス（1）』 | October 29 (Wed) 10:00-11:30 [2F Togen] | |
| 座長：安尾信明（東京科学大学）、 山本一樹（㈱シャルクス /東京大学アイソトープ総合センター） | ||
| O02 『計算化学（分子計算・分子認識）/量子構造生命科学』 | October 29 (Wed) 10:00-11:30 [4F Training room] | |
| 座長： 渡邉博⽂（㈱ウィズメーティス）、 増田友秀（中外製薬㈱）、 升岡優太（大鵬薬品工業㈱） | ||
| O03 『AI創薬』 | October 29 (Wed) 10:00-11:30 [4F 401] | |
| 座長： 佐藤朋広（理化学研究所） | ||
| O04 『健康科学/ADME・毒性/臨床インフォマティクス』 | October 29 (Wed) 10:00-11:30 [4F 407] | |
| 座長：瀧本征佑（日本たばこ産業㈱）、夏目やよい（医薬基盤・健康・栄養研究所）、内野詠⼀郎（京都⼤学⼤学院） | ||
| O05 『データサイエンス（2）』 | October 30 (Thu) 10:00-11:30 [2F Togen] | |
| 座長：清水祐吾（理化学研究所）、江崎剛史（滋賀大学） | ||
| O06 『創薬応用』 | October 30 (Thu) 10:00-11:30 [4F Training room] | |
| 座長：池上貴史（㈱モルシス）、遠藤智史（岐⾩⼤学）、熊澤啓子（帝人ファーマ㈱） | ||
| O07 『バイオインフォマティクス』 | October 30 (Thu) 10:00-11:30 [4F 401] | |
| 座長：⽔野聖⼠（東北メディカル・メガバンク機構） | ||
| O08 『分子ロボティクス』 | October 30 (Thu) 10:00-11:30 [4F 407] | |
| 座長：多田隈尚史（上海科技大学/東京大学） | ||
各発表No.をクリックするとabstractが開きます。
| 発表 No. |
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| O01-01 | Shigeru Yamaguchi | CSRS, RIKEN | Data Integration Using Data-Driven Molecular Catalyst Design System | ||
| O01-02 | Teppei Deguchi | The University of Tokyo | Data-efficient protein mutational effect prediction with weak supervision by molecular simulation and protein language models | ||
| O01-03 | Tomoyasu Sugiyama | Tokyo University of Technology | Development of an artificial intelligence system for identification of cancer vessel formation in immunohistochemical image | ||
| O01-04 | Tatsunori Ozone | Okyama University | Predicting Protein Abundance from RNA Expression Levels via Translational Regulatory Networks | ||
| O01-05 | Sorachi Katayama | Graduate School of Pharmaceutical Sciences, Nagoya University | Detection of Diverse Viral Infections Using Deep Learning-Based Image Analysis | ||
| O01-06 | Hiroyuki Goto | Graduate School of Pharmaceutical Sciences, Nagoya University | Image-Based Rapid Functional Assessment of Cells Expressing Designer CARs | ||
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| O02-01 | Kohei Motoki | Chuo University | Analysis of deuterium chiral switch characteristics of thalidomide analogues using Beyond Born–Oppenheimer quantum chemical calculations | ||
| O02-02 | Shuya Nakata | Kobe University | Controlling Molecular Conformation Sampling with Diffusion Models via Bias Potentials | ||
| O02-03 | Takeshi Ishikawa | Kagoshima University | Analysis of Evolutionary Changes in the SARS-CoV-2 RBD–hACE2 Interaction Using VIINEC | ||
| O02-04 | Naoshige Ono | Osaka Metropolitan University | Identification of small molecules inhibiting disease-related lncRNA–protein interactions using molecular dynamics simulations | ||
| O02-05 | Akiya Fukuda | Tohoku University | Novel structural modeling of protein reaction intermediate: Hybrid Approach using Time-Resolved Serial Femtosecond X-ray Crystallography and Molecular Simulation. | ||
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| O03-01 | Akira Take | Institute of Science Tokyo | Improving Protein-Ligand Binding Prediction via Vision Transformer and Image-Based Learning | ||
| O03-02 | SEUNGEON LEE | Kyoto University Graduate School of Medicine, Department of Biomedical Data Intelligence | HELM-BERT: A Transformer for Medium-sized Peptide Property Prediction |
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| O03-03 | Kyohei MORIMOTO | Department of Complex Systems Science, Graduate School of Informatics, Nagoya University | A Foundation Model-Based Approach for Reaction Type-Specific Retrosynthesis Prediction | ||
| O03-04 | Yugo Shimizu | RIKEN | Development of a new drug-likeness index based on pharmaceutical patents | ||
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| O04-01 | Shuhei Tanaka | Kyoto University | Development of a Predictive Model for Type 2 Diabetes Onset Using Life Log and Health Checkup Data | ||
| O04-02 | TIN MAR | Hokkaido University | Developing Embedding Models for Cytochrome P450–Ligand Interaction Scoring | ||
| O04-03 | Yosuke Kikuchi | Graduate School of Pharmaceutical Sciences, The University of Tokyo | The impact of SMILES notation inconsistencies on chemical language model property prediction | ||
| O04-04 | Dirgantara Jelang | National Institutes of Biomedical Innovatio, Health and Nutrition | A Dynamics-Driven Framework for Prioritizing Clinically Relevant Immunogenic Neoepitopes | ||
| O04-05 | Rion Ishikubo | Kyushu Institute of Technology | Deep learning-based classification of atrial fibrillation severity: computational approach to support personalized clinical management | ||
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| O05-01 | Kazuyoshi Ikeda | RIKEN | LLM-Based Workflow for Protein–Protein Interaction Data Curation in Drug Discovery | ||
| O05-02 | Yuki Nakamura | Nagoya University | Molecular Structure Generation from Pharmaceutical Text Data Using a Diffusion Language Model | ||
| O05-03 | Shuichiro Makigaki | Kitasato University | Integrating Structural Differences and Latent Space Similarities: A Comprehensive Graph Data Model for Multi-modal Chemical Compound Data Platform | ||
| O05-04 | Keisuke Hirota | Institute of Science Tokyo | DeepRES: Deep learning enables reaction-based comprehensive enzyme screening | ||
| O05-05 | Muto Shighearu | Chugai Pharmaceutical Co., Ltd. | Advancing Insight Extraction from Japanese Pharmaceutical Review Reports Using Natural Language Processing | ||
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| O06-01 | Takashi Matsumoto | Rigaku Corporation | Electron Density Topography (EDT) Unveils the Hidden Life of Nucleic Acid Therapeutics in Solution | ||
| O06-02 | Yusuke Nakayama | GEXVal Inc. | AI-Enhanced Data-Driven Drug Repurposing Platform: Graph Attention Autoencoder with Multi-Layered Multimodal Approach for Accelerated COVID-19 Therapeutic Discovery |
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| O06-03 | Haruhiko Hattori | Veritas In Silico Inc. | Convergence of Machine Learning and High-Quality Biophysical Techniques Boosts Discovery of SAR-Tractable RNA Ligands and Rational Analogue Design | ||
| O06-04 | Mochammad Nasution | National Institutes of Biomedical Innovation, Health and Nutrition | In Silico Optimization of KRAS<SUP>G12D</SUP> Inhibitors through Stability-Guided Molecular Dynamics Simulations | ||
| O06-05 | Tatsuki Akabane | RIKEN | AI-driven fragment-based drug design of a grain yield enhancer in rice | ||
| O06-06 | Ryo Akiba | Institute of Science Tokyo | Multi-Objective Optimization for Designing Structurally Similar Proteins with Diverse Sequence |
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| O07-01 | Ryosuke Nomura | National Cancer Center | Unsupervised annotation of spatial transcriptomes based on vectorial information | ||
| O07-02 | Iori Azuma | The University of Tokyo | Graph Autoencoder-Based Tissue-Adaptive Representation for Deconvolution | ||
| O07-03 | Yuta Taido | Graduate School of Pharmaceutical Sciences, Nagoya University, Tokai National Higher Education and Research System | Multidimensional analysis of FLNA overexpression-induced cellular abnormalities via high-content imaging and single-cell RNA sequencing | ||
| O07-04 | Satoshi Mizuno | Tohoku University | Genetic Heterogeneity of Hypertensive Disorders of Pregnancy | ||
| O07-05 | Satoshi Nagaie | Tohoku University | Tracing Health–to–Disease Trajectories from Annual Checkup Data | ||
| O07-06 | Ren Furumori | Faculty of Science and Technology, Keio University. | Exploring Gene Knockout Combinations for Enhanced Ethanol Production via Factorization Machine with Annealing | ||
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| O08-01 | Ibuki Kawamata | Kyoto University | Analysis of Gliding Molecular Robots using Machine Learning Image Detection | ||
| O08-02 | Harune Onishi | Ochanomizu University | Exploring Sine Wave Generation in PEN DNA Toolbox Using QD Optimization | ||
| O08-03 | Ken Komiya | Japan Agency for Marine-Earth Science and Technology (JAMSTEC) | Experimental Characterization of Cascaded DNA Generation Reaction with Respect to Signal Amplification Performance | ||
| O08-04 | Mihane Kawada | Institute of Science Tokyo | Development of Functional DNA Nanofibers towards Cell Culture Applications | ||