Poster No. |
Title |
First Author |
Affiliation |
(1)分子認識と分子計算 (Molecular recognition and molecular modeling) |
P1-01 |
Theoretical calculations on proteins with fragment molecular orbital method |
Yuji Mochizuki |
Rikkyo University & IIS, University of Tokyo |
P1-02 |
FMO-based analysis on DsRed chromophore |
Masataka Sakaguchi |
Rikkyo University |
P1-03 |
Efficient Implementation of 3D-RISM Theory to the FMO Method, and Its Applications |
Norio Yoshida |
Kyushu University |
P1-04 |
Fragment Based Drug Discovery (FBDD) vs Molecular Evolution: Shared Strategy for the Induction of Substrate/Target Selectivity |
Osamu Ichihara |
Schrödinger K. K. |
P1-05 |
Prediction of Protein-ligand Binding Affinities Using Molecular Simulations (II) |
Noriaki Okimoto |
QBiC, RIKEN |
P1-06 |
Toward precise determination of binding free energy from molecular dynamics simulation |
Teruhisa Komatsu |
QBiC, RIKEN |
P1-07 |
How does water in the binding site affect intermolecular interaction between a protein and a ligand? |
Hiroyuki Sato |
Fujitsu Laboratories Ltd. |
P1-08 |
Binding Mode Analysis of Protein Kinase CK2 Inhibitors with a Purine Scaffold |
Atsushi Sakurai |
Kinki university |
P1-09 |
Biomolecular Computational Simulations and Organic Synthesis: Prediction of the Enantioselectivity of Lipase-Catalyzed Biotransformations |
Yoichiro Yagi |
Okayama University of Science |
P1-10 |
Analysis of the SLP-76 ligand recognition mechanism of Mona/gads by molecular dynamics simulation. |
Yoshiyuki Uemura |
Yokohama National University |
P1-11 |
Structural Recognition of Local Anesthetic Enantiomers in human Kv1.5 Channel Pore |
Tomoyoshi Seto |
Shiga University of Medical Science |
P1-12 |
Analysis of Barnase-Barstar Interactions with Interfacial Mutations, based on 3D-RISM Method |
Yasuomi Kiyota |
School of Pharmacy, Kitasato University |
P1-13 |
Development and cellular application of novel streptavidin-binding small molecules |
Takuya Terai |
The University of Tokyo |
P1-14 |
Molecular dynamics simulations of ATP or ADP bound form of SR Ca2+-ATPase using CHARMM force field with updated polyphosphate parameters |
Yasuaki Komuro |
Chuo univ./RIKEN Theoretical Molecular Science Lab |
P1-15 |
Proposal for novel inhibitors to acetyl- and butyryl-cholinesterases by ab initio molecular simulations |
Takeru Murakawa |
Toyohashi University of Technology |
P1-16 |
Assessment of Protein-ligand Binding Energy Calculation Using Fragment Molecular Orbital Method |
Takao Otsuka |
RIKEN QBiC |
P1-17 |
Molecular Similarity Based on Electronic Interaction Topology |
Tatsuhiro Doi |
Kumamoto Univ. |
P1-18 |
Electronic-Structure Data Mining For Molecular Property Analysis |
Takayuki Kurogi |
Kumamoto univ. |
P1-19 |
Classification of Bioisostere Based on Similarity Evaluated by Electronic-Structure Calculation |
Ryo Iwane |
Kumamoto univ. |
P1-20 |
Dynamics of the Large Progenitor Toxin Complex of Clostridium Botulinum |
Yosuke Kondo |
Tokyo University of Science |
P1-21 |
Binding Model Construction of GPCRs Specifically Activated by Lysophosphatidylserine |
Misa Sayama |
The University of Tokyo |
P1-22 |
Random Matrix Theory and Principal Component Analysis of Protein-Ligand Interactions by Using Molecular Dynamics Simulation |
Masanori Yamanaka |
Department of Physics, CST, Nihon University |
P1-23 |
Benchmark for new fragmentation breaking peptide bonds |
Kaori Fukuzawa |
Nihon University |
P1-24 |
Prediction of activity cliff among Pim1 inhibitors using FMO and MM-PBSA calculations |
Chiduru Watanabe |
RIKEN Center for Life Science Technologies |
P1-25 |
Study on QCLO method for canonical molecular orbital calculation of cofactor-containing protein |
Junya Yoshida |
The university of Tokyo |
P1-26 |
Improvements of a method to predict interfaces for GPCR oligomerization |
Akira Saito |
Graduate School of Science and Engineering, Tokyo Denki University |
P1-27 |
Complexity of Moving Robots on a Graph with Group Constraints |
Hirotaka Ono |
Kyushu University |
(2)インシリコ創薬 (In silico drug discovery) |
P2-01 |
Identification of novel potential antibiotics against Mycobacterium using pharmacophore-based in silico screening targeting thymidine monophosphate kinase |
Yuji Koseki |
Kyushu Institute of Technology |
P2-02 |
Ligand Based Pharmacophore Modeling and In silico Screening of Protein Tyrosine Phosphatase 1B Inhibitors for Identification of Novel Antidiabetic Lead Compounds |
Katsumi Sakata |
Maebashi Institute of Technology |
P2-03 |
Predicting drug efficacy and bias for GPCRs by molecular dynamics simulation |
Osamu Ichikawa |
Dainippon Sumitomo Pharma Co. Ltd. |
P2-04 |
Identification of ‘dynamic hotspots’ for lead discovery using MD simulation and spatiotemporal cluster analysis |
Akihiko Arakawa |
Sumitomo Dainippon Pharma Co., Ltd |
P2-05 |
In silico cardiac safety assessment of drug effects using heart simulator |
Jun-ichi Okada |
The University of Tokyo |
P2-06 |
Construction of the Protein 3D Fragment Library System based on Glycine Neighboring Environment |
Ryohsuke Itoh |
Toyohashi University of Technology |
P2-07 |
Discovery of InhA inhibitors with anti-mycobacterial activity through matched molecular pair approach |
Hironori Kanetaka |
Kyushu Institute of Technology |
P2-08 |
Predicting Molecular Mechanisms of Action Associated with Binary Endpoints |
Josep Prous, jr |
Prous Institute for Biomedical Research |
P2-09 |
OEDocking 3.1: Pose Prediction in One Awesome Package. |
Hideyuki Sato |
OpenEye Japan K.K. |
P2-10 |
Computational Studies for Drug Design |
Yoshinori Hirano |
RIKEN QBiC |
P2-11 |
Development of a novel anti trypanosoma drug |
Ryunosuke Yoshino |
Tokyo Institute of Technology |
P2-12 |
Estimate of Pharmacophore for Anti-Trypanosoma Drug Development Using Fragment Molecular Orbital Method |
Nobuaki Yasuo |
Tokyo Institute of Technology |
P2-13 |
Statistical analysis of hydrogen-bond preferences between chemical fragment and amino acid in Protein Data Bank |
Tomohiro Sato |
RIKEN, CLST |
P2-14 |
A New Virtual Screening Method for Identifying Novel Active Compounds Based on Protein Promiscuity |
Koya Kato |
Graduate School of Engineering, Nagoya University |
P2-15 |
Quantum-Chemistry-Based Chemoinformatics System for Molecular Discovery: Database, Search Engines, and More |
Manabu Sugimoto |
Kumamoto University |
P2-16 |
Quantitative prediction of binding affinity for theophylline-RNA using alchemical transformation |
Yoshiaki Tanida |
Fujitsu Laboratories Ltd. |
(3)バイオインフォマティクスとその医学応用 (Bioinformatics and its applications in medicine) |
P3-01 |
Approach to Meta-Analysis of Microarray Datasets Reveals Muscle Remodeling-related Drug Targets and Biomarkers in Duchenne Muscular Dystrophy |
Kosuke Negishi |
Elsevier Japan K.K. |
P3-02 |
Identifying Potential Indications for Drug Repositioning Using Text Mining Analyses |
Yuki Sato |
Elsevier Japan K.K. |
P3-03 |
What factors influenced the estimation of HIV-1 CRF07_BC evolutionary history in China |
Asiya Hapaer |
Tokyo Medical and Dental University |
P3-04 |
The regulatory mechanisms of adipocyte and osteoblast differentiation revealed by the integrated transcriptome analysis |
Yosuke Mizuno |
Saitama Medical University |
P3-05 |
A novel role of sphingosine-1-phosphate receptor in proliferation of breast cancer stem cells |
Naoya Hirata |
Div. Pharmacol., Natl. Inst. Hlth. Sci. |
P3-06 |
Analysis of alternative splicing in the cerebellum of spinocerebellar ataxia type 6 knockin mice |
Junya Hagiwara |
Tokyo Medical and Dental University |
P3-07 |
Prediction of gene expression networks in hepatocellular carcinoma using genome-wide gene expression data |
Norihiko Satake |
Tokyo Medical and Dental University |
(4)医薬品研究とADMET (Information and computing approach for drug design and ADMET study) |
P4-01 |
Basic approach to optimize the small drug seeds with minimized CV risk on the early stage of drug discovery by using small molecule-based in silico models for prediction of hERG/Nav1.5 inhibitions |
Tetsushi Dodo |
Eisai Co., Ltd. |
P4-02 |
Establishment of small molecule-based in silico models for prediction of hERG and Nav1.5 inhibitions for drug discovery |
Megumi Ikemori |
Eisai Co., Ltd. |
P4-03 |
Visualisation of drug delivery by using high resolution microscopic mass spectrometry |
Masahiro Yasunaga |
National Cancer Center Hospital East |
P4-04 |
Evaluation of Human iPS cell-derived Hepatocytes for the Application to ADME/Tox Tests in Drug Development |
Seiichi Ishida |
National Institute of Health Sciences |
P4-05 |
Prediction of rat clearance using in vivo-in vitro extrapolation and Genetic Algorithm-based multiple linear regression |
Kei Mayumi |
Shionogi & Co., Ltd. |
P4-06 |
Detailed Analysis of the Binding Mode of Vanilloids to Transient Receptor Potential Vanilloid Type I (TRPV1) by Mutational and Computational Study |
Katsuya Ohbuchi |
Tsumura Research Laboratories, Tsumura and Co. |
P4-07 |
Transforming Quantity into Quality: a Highly Optimized System to Rapidly Process High Throughput Ion-channel Screening Data |
Zsolt Lepp |
Genedata KK |
P4-08 |
In Vitro Integrated Assessment for Prediction of Drug-Induced Arrhythmia |
Akiko Suzuki |
Shin Nippon Biomedical Laboratories, Ltd. (SNBL) |
P4-09 |
Molecular Dynamics Simulation of Shiga Toxin, II |
Kazumi Omata |
National Center for Global Health and Medicine |
P4-10 |
Comparison of in silico human ventricular model assay with in vivo canine PK/PD analysis for predicting the cardiac safety of antipsychotic drugs |
Taeko Kubo |
Sumitomo Dainippon Pharma Co., Ltd. |
P4-11 |
QSAR analyses for thermodynamic driving force of antihistamines in their binding affinity for human H1 receptors |
Yoshihiro Uesawa |
Meiji Pharmaceutical University |
(5)上記に属さない先進的研究 (Emerging new technology) |
P5-01 |
In vivo quantification of pharmacologically blocked neuronal slow K+ current and compensatory changes of HCN and persistent Na+ currents |
Hiroyuki Nodera |
Department of Neurology, Tokushima University |
P5-02 |
Estimating fitness values and appearance time of evolvable self-replicating molecules from time series of frequencies in an evolution reactor |
Takuyo Aita |
Japan Science and Technology Agency |
P5-03 |
Bifurcation Analysis in Reprogramming Process of Somatic Cells |
Masaki Inoue |
Keio University |
P5-04 |
Oriented reconstitution of an ion channel in a cell-sized liposome |
Miho Yanagisawa |
Tokyo University of Agriculture and Technology |
P5-05 |
Positive Quadratic Systems Modeling and Stability Analysis of Chemical Reactions in Cells |
Yuji Okamoto |
Tokyo Institute of Technology |
P5-06 |
Establishment of neuron-specific toxicity evaluation system using human induced pluripotent stem cell-derived neurons |
Kanako Takahashi |
Div. of Pharmacology, Nat. Inst. Hlth. Sci. |
P5-07 |
Biomarker-responsive supramolecular hydrogels |
Masato Ikeda |
Gifu University |
P5-08 |
Live-Cell Super-Resolution Imaging with Spontaneously Blinking Fluorophores |
Shin-nosuke Uno |
The University of Tokyo |
P5-09 |
Introduction of DNA nanostructures and multiple μm-sized objects into live cells by a novel cell-GUV electrofusion method |
Akira Saito |
Tohoku University |
P5-10 |
A bright future: optogenetics and the FLIPR for voltage gated ion channels |
Sabrina Corazza |
Axxam SpA |
P5-11 |
Theoretical analysis of the formation of membrane tubes in giant liposomes induced by electrostatic effect |
Tamiki Umeda |
Kobe University |
P5-12 |
Loosely-stabilizing algorithms for leader election in population protocols |
Fukuhito Ooshita |
Osaka University |
P5-13 |
pH-Responsive High-Density Lipoprotein for Drug Delivery System |
Tatsuya Murakami |
Kyoto University |
P5-14 |
Mathematical models of RNP-mediated synthetic translational systems for precise control of the differentiation of iPS cells |
Suzuki Shota |
Keio university |
P5-15 |
Novel voltage protocol for the characterization of hNav1.5 channel inhibition of drug candidates |
Takashi Yoshinaga |
Global CV Assessment, Eisai Co., Ltd. |
P5-16 |
In Vitro Selection of Functional Peptides with Pore-Forming Ability to Liposomes |
Toshiki Miyajima |
Saitama University |
P5-17 |
Image-based drug profiling reveals a dual inhibitor of EGF receptor tyrosine kinase and microtubules |
Kenji Tanabe |
MRI, Tokyo Women’s Medical University |
P5-18 |
Novel Cell- or Tissue-Markers Based on Giant vesicles |
Taro Toyota |
The University of Tokyo, Chiba University |
P5-19 |
Hybrid Systems as Controllers of Molecular Robots --- A Case Study |
Shaoyu Wang |
Department of Computer Science, University of Tokyo |
P5-20 |
Creation and manipulation of an artificial cellular membrane |
Tsutomu Hamada |
Japan Advanced Institute of Science & Technology |
P5-21 |
Oscillatory Population Protocols |
Colin Cooper |
Department of Informatics, Kings College, UK |
P5-22 |
Development of a hybrid potassium ion probe for detection of local potassium ion transition on cellular membrane |
Tomoya Hirata |
Grad. Sch. Pharm. Sci., the Univ. of Tokyo |
P5-23 |
Reaction Graphs Controlled by External Signals |
Youji Hasegawa |
The University of Electro-Communications |
P5-24 |
Automated Microtubule Path Tracking on Gliding Assay Using Dynamic Programming |
Bulibuli Mahemuti |
Tokyo Institute of Technology |
P5-25 |
Comparison of field potential measurement and clinical information with in vitro system to evaluate arrhythmogenic potentials of compounds using human iPS-cell |
Tetsuo Kitamura |
LSI Medience Corporation |
P5-26 |
Chronic probucol treatment decreases the slow component of the delayed-rectifier potassium current in CHO cells transfected with KCNQ1 and KCNE1 |
Tomohiko Taniguchi |
Eisai Co., Ltd. |
P5-27 |
Monitoring Cellular Response to Ion Channel Blocker with Motion Vector Prediction Method |
Kazuhiro Nakagawa |
Sony Corporation |
P5-28 |
Contribution of quantitative change in funny current (If) to electrophysiological properties of developing embryonic ventricular cells: a simulation study |
Maiko Wakita |
Keio University |
P5-29 |
Revised Modeling of Self-oscillating Gel including Experimental Results |
Hiroshi Morita |
AIST |
P5-30 |
On Time Responsive DNA Analog Computing Devices |
Kazuya Yanagibashi
|
University of Electro-Communications |
P5-31 |
Optimization and pharmacological characterization of iCell cardiomyocytes for electrophysiological assessment in a multielectrode extracellular recording |
Kohei Sawada |
Eisai Co., Ltd. |
P5-32 |
Fracture of Biomaterials |
Hiroyuki Mayama |
Dept of Chem., Asahikawa Med. Univ. |
P5-33 |
Characterization of synaptic transmission induced synchronized population bursts of the iPSC-derived neurons |
Norimasa Miyamoto |
Eisai Co., Ltd. |
P5-34 |
Single-molecular Activity Measurement of Enzymes Attached to DNA origami |
Ban Okabayashi |
Tohoku University |
P5-35 |
Making Logic Circuits with a Single Component in a Virtual Kinematic Environment |
Tetsu Narumi |
The University of Electro-Communications |
P5-36 |
Construction of Computational Elements by a Swarm Network with Brownian Motion |
Masashi Mori |
University of Hyogo |
P5-37 |
Metabolomic approaches for compound annotation of volatile organic compounds in headspace of Allium fistulosum using in-tube extraction devices |
Miyako Kusano |
University of Tsukuba |
P5-38 |
A Computational Framework to Analyze Microtubule Gliding Assay |
Akihiko Konagaya |
Tokyo Institute of Technology |
P5-39 |
Hemodialysis treatment weakens the contraction force of central sinoatrial nodal cell |
Hiroyuki Hamada |
Kyushu University |
P5-40 |
Development of a Molecular Sensor that Works on a Liposomal Membrane |
Koh-ichiroh Shohda |
The University of Tokyo |
P5-41 |
Designing an Artificial Ion Channel From DNA origami |
Kazuki Hirahara |
Dept. Bioeng. & Robotics, Tohoku Univ. |
P5-42 |
Effects of substrate elasticity on gene expression profiles of human iPS-derived cardiomyocytes |
Junko Kurokawa |
Tokyo Medical and Dental University, MRI |
P5-43 |
Building An Artificial Protein Capsid |
Ali D. Malay |
RIKEN Heddle Initiative Unit |
P5-44 |
Characterization of human neural stem/progenitor cells and their application to assays for multiple ionotropic glutamate receptors |
Kazuyuki Fukushima |
Eisai Co., Ltd. |