◀◀2024大会「口頭・ポスター発表」に戻る


Oral Presentation

Chem-Bio Informatics Society(CBI) Annual Meeting 2024


update 2024.10.27

<セッション Session>
口頭発表 O01  10/29 14:00-15:30 [401] (07.創薬応用)
口頭発表 O02  10/30 10:00-11:30 [研修室](03.データサイエンス)
口頭発表 O03  10/30 10:00-11:30 [401] (07.創薬応用)
口頭発表 O04  10/30 10:00-11:30 [407] (09.分子ロボティクス)
口頭発表 O05  10/30 10:00-11:30 [406] (04.量子構造生命科学/05.ADME・毒性/06.バイオインフォマティックス)
口頭発表 O06  10/31 10:00-11:30 [研修室](03.データサイエンス/08.臨床インフォマティクス)
口頭発表 O07  10/31 10:00-11:30 [401] (07.創薬応用)
口頭発表 O08  10/31 10:00-11:30 [407] (01.計算化学(分子計算))
口頭発表 O09  10/31 10:00-11:30 [406] (01.計算化学(分子計算)/03.データサイエンス/09.分子ロボティクス)

<口頭発表一覧 Oral Presetation>

Poster No. Title First Author Affiliation
  O01 10/29 14:00-15:30 [401] (07.創薬応用)
O01-01 Unveiling the Potential of RNA-Targeted Small Molecule Therapies: Innovations in Computational and Biophysical Approaches Ella Morishita Veritas In Silico Inc.
O01-02 Computational Chemistry and Structure-Based Molecular Design for a Cyclic Peptide Drug Discovery Platform Atsushi Matsuo Chugai Pharmaceutical Co.,Ltd
O01-03 Machine learning approach to analyze DNA-encoded library screening data for hit identification Syunya Suzuki Nagoya University
O01-04 Scaffold-retained molecule generation considering gene expression profiles with deep learning Yuki Matsukiyo Kyushu Institute of Technology
O01-05 Development of a Molecular Generative model via the Decoupled Setting on Multi-objective Bayesian Optimization Takamasa Suzuki Tokyo Institute of Technology
O01-06 Optimizing Multitask Learning with Evolutionary Metrics for Enhanced QSAR-based Natural Product Activity Prediction Donny Ramadhan Osaka University
  O02 10/30 10:00-11:30 [研修室](03.データサイエンス)
O02-01 Deep leaning of new morphological characteristics of blood vessel in breast cancer. Tomoyasu Sugiyama School of Bioscience and Biotechnology, Tokyo University of Techmology
O02-02 Enhancing Drug-Target Interaction Prediction using Large Language Models and Low-Rank Adaptation Rintaro Yashiro Tokyo Institute of technology
O02-03 Exploring Synthetically Accessible Chemical Spaces with Product-of-Expert Chemical Language Models Shuya Nakata Graduate School of System Informatics, Kobe University
O02-04 Feature Design of Molecular 3D Structures for Fast Approximate Nearest Neighbor Search Kotaro Kamiya SyntheticGestalt KK
O02-05 Clmpy: A platform for Chemical Language Model comparable training and structure generation ability Shumpei Nemoto Graduate school of pharmaceutical sciences, The University of Tokyo
O02-06 Fragment descriptors in predictive modeling for molecules and reactions Pavel Sidorov Hokkaido University, Institute for Chemical Reaction Design and Discovery (ICReDD)
  O03 10/30 10:00-11:30 [401] (07.創薬応用)
O03-01 Construction of Flavivirus database and therapeutic antibody discovery
using machine learning algorithm
Piyatida Natsrita Laboratory for Computational Biology, Department of Biological Sciences, Osaka University
O03-02 Digital Transformation on Small Molecule Optimization Research at Astellas Pharma Mori Kenichi Modality Informatics, ResearchX, DigitalX, Astellas Pharma Inc.
O03-03 Open Molecule Generator: A Multipurpose Molecule LLM David Jimenez Barrero Elix, Inc
O03-04 Application of machine learning to single-cell RNA sequencing provides the candidate drugs against drug-tolerant persister cells in colorectal cancer Yosui Nojima Center for Mathematical Modeling and Data Science, Osaka University
O03-05 Predicting Novel Therapeutic Target Molecules Using Neural Networks: Validation and Applicability to Unknown Diseases Hayato Tsumura Graduate School of Medicine, Kyoto University
O03-06 Design of Receptor Selective Cell-Penetrating Peptides Using Deep Learning and Simulations Iori Yamahata Nagoya University Graduate School of Medicine
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  O04 10/30 10:00-11:30 [407] (09.分子ロボティクス)
O04-01 Biomimetic Multicellular Lipid-Based Membranes for Stimulus-Responsive Drug Delivery Tsuyoshi Inaba Molecular Robotics Laboratory, Department of Robotics, Grad.Sch.Eng.,Tohoku Univ.
O04-02 Physical Reservoir Computing Device Using Active Matter Composed of a Swarm of Biomolecular Motors. Yiming Gong Graduate School of Science, Kyoto University
O04-03 GAN-Based Multi-Axis Resolution-Enhanced 3D Visualization of Giant Vesicles Soichiro Hiroi Department of Basic Science, Graduate School of Arts and Science, The University of Tokyo, Molecular Robotics Research Institute, Co., Ltd.
O04-04 Investigation on heterogeneous pairs of cell-sized liposomes formed in a microfluidic device Haruto Obuchi  Graduate School of Arts and Sciences, Department of Basic Science, University of Tokyo
O04-05 Integrated web user interface for DNA nanotechnology including coarse-grained molecular dynamics simulation Ibuki Kawamata School of Science, Kyoto University
O04-06 Development of a Supervised Deep Learning Method for DNA Sequence Estimation from DNA Images Hirotaka Kondo Organization for Research and Development of Innovative Science and Technology, Kansai University
  O05 10/30 10:00-11:30 [406] (04.量子構造生命科学/05.ADME・毒性/06.バイオインフォマティックス)
O05-01 AlphaFold protein 3D structures enhance genome-wide scale compound-protein interaction prediction with deep learning Yuga Moriyama Graduate School of Informatics, Nagoya University
O05-02 The effect of food on pharmacokinetics of acotiamide for the treatment of functional dyspepsia Kazuyoshi Yoshii Ethical drug research, ZERIA Pharmaceutical Ltd., Co.
O05-03 Computational exploration of bipolar disorder multi-omics data in the quest for novel drug targets Flora R. Aigbe Laboratory for Computational Biology, Institute for Protein Research, Osaka University
O05-04 Learning the Language of Life: Feasibility of Using LLMs to Understand Latent Characteristics of Proteins from Residue Structural Environments Nina Holsmoelle Laboratory for Computational Biology, Institute for Protein Research, Osaka University
O05-05 SGCRNA: A Novel Tool for Gene Co-Expression Network Analysis Using Spectral Clustering Tatsunori Osone Department of Regenerative Science, Okayama University
O05-06 Exploring cancer treatment candidates targeting chromatin remodeling factors Reiko Watanabe Laboratory for Computational Biology, Institute for Protein Research, Osaka University
  O06 10/31 10:00-11:30 [研修室](03.データサイエンス/08.臨床インフォマティクス)
O06-01 3D structure-based chemical foundation model to predict the bioactivity and toxicity Tsuyoshi Kimura Graduate School of Informatics, Nagoya University
O06-02 Comparison Between Word Embeddings and Molecular Descriptors by Clustering and Distribution Analysis from Antioxidant Articles Yuto Matsumoto Graduate School of Engineering, Yokohama National University
O06-03 Reconstructable latent representation of molecules by Graph Transformer VAE
Yasuhiro Yoshikai Laboratory of Molecular Pharmacokinetics, The University of Tokyo Graduate School of Pharmaceutical Sciences
O06-04 Towards the Design of Natural Product Biosynthetic Gene Clusters Using Natural Language Processing Technology Tomoki Kawano Graduate School of Agricultural and Life Sciences, The University of Tokyo
O06-05 Design of Novel Compounds Through Protein-Ligand Interaction-Based Generative Methods Masakazu Sekijima Department of Computer Science, Tokyo Institute of Technology
O06-06 Analysis of the usefulness of AlphaMissense score for predicting protein function.-Evaluation by GLA, the causative gene of Fabry disease- Yuji Sakahashi Omics Research Center, National Cerebral and Cardiovascular Center
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  O07 10/31 10:00-11:30 [401] (07.創薬応用)
O07-01 SynthFormer: A Customizable Framework for Virtual Synthesis-Based Molecule Generation Joshua Owoyemi Elix, Inc.
O07-02 Relationship between cyclic peptide structure in solution and membrane permeability Takashi Matsumoto Rigaku Corporation
O07-03 Efficient docking simulation-based generation of bioactive compounds with deep generative models Hideto Hoshino Graduate School of Informatics, Nagoya University
O07-04 Optimization of Generator Reward Function Settings for Non-covalent KRAS Inhibitors Casey J. Galvin Elix, Inc.
O07-05 Development of Scaffold and Fragment Definition Algorithms with a Case Study on Chemical Library Analysis Kazuma Kaitoh Graduate School of Informatics, Nagoya University
O07-06 Deep Learning-Based Protein-Protein Interaction Prediction Considering Angle Information Yukinobu Matsuno Department of Computer Science, Tokyo Institute of Technology
  O08 10/31 10:00-11:30 [407] (01.計算化学(分子計算))
O08-01 Quantum Chemistry-Based Protein-Protein Docking without Any Empirical Parameters
Takeshi Ishikawa Graduate School of Science and Engineering, Kagoshima University
O08-02 Prediction and Analysis of Protein-Ligand Complexes Through R-value Analysis of High-Temperature Molecular Dynamics Simulation Mochammad Arfin Fardiansyah Nasution Laboratory for Computational Biology, Institute for Protein Research, Osaka University, Department of Chemistry, Graduate School of Science, Osaka University, Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition
O08-03 Conditional structure prediction of protein-compound complex Atsuhiro Tomita Drug Discovery, Preferred Networks, inc.
O08-04 Integrating Mathematical Modeling and Molecular Dynamics Simulations to study the effect of EGFR Mutations in Lung Cancer Ai Shinobu WPI-PRIMe, Osaka University
O08-05 Large-Scale MD-Based CPI Prediction Using Supercomputer Fugaku Natsuki Kanazawa Graduate School of Medicine, Kyoto University
O08-06 Progress of data collection in FMO database and efforts to evaluate structural qualities of biological macromolecules using quantum chemical interaction energy analysis Chiduru Watanabe Center for Biosystems Dynamics Research, RIKEN
  O09 10/31 10:00-11:30 [406] (01.計算化学(分子計算)/03.データサイエンス/09.分子ロボティクス)
O09-01 Towards the Construction of Next-Generation Molecular Robots with Quick Motion and Information Processing Shin-ichiro M. Nomura Department of Robotics, Graduate school of Engineering, Tohoku University
O09-02 Experimental validation of a modified Whiplash PCR for profiling temporal and coexistence patterns of nucleic acids
Ken Komiya Institute for Extra-cutting-edge Science and Technology Avant-garde Research (X-star), Japan Agency for Marine-Earth Science & Technology (JAMSTEC)
O09-03 Development of a sustainable database for middle molecules using AI-driven data curation Kazuyoshi Ikeda RIKEN Center for Computational Science, RIKEN, Faculty of Pharmacy, Keio University
O09-04 Designing an Information Infrastructure for the Integration and Utilization of Multimodal Bioactivity Information Shuichiro Makigaki Faculty of Future Engineering, Kitasato Institute
O09-05 Leveraging LLMs for Quantum Chemistry: A Comparative Study of Input File Generation for Gaussian, DFTB+, and ORCA Gergely Juhasz School of Science, Chemistry, Tokyo Institue of Technology
O09-06 Structure and stability of glycan interaction network on the HIV envelope glycoprotein Suyong Re Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN)

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