Poster No. |
Title |
First Author |
Affiliation |
(1)分子認識と分子計算 (Molecular recognition and molecular modeling) |
P1-01 |
An elucidation of STING phosphorylation mechanism by a combination of molecular dynamics simulations and molecular biological analyses |
Yuko Tsuchiya |
Institute for Protein Research, Osaka University |
P1-02 |
Molecular Dynamics Simulation of Shiga Toxin, IV |
Kazumi Omata |
National Center for Global Health and Medicine |
P1-03 |
3D reconstruction program for coherent diffraction patterns obtained by XFEL |
Miki Nakano |
RIKEN AICS |
P1-04 |
Interaction analysis of MDM2 inhibitor by fragment molecular orbital method |
Naoto Motoyama |
Osaka University |
P1-05 |
Hydration Thermodynamics Study of Activation of Hydrolytic Water in Acyl-Trypsin Intermediates |
Yosuke Masuda |
Kitasato University |
P1-06 |
Approach to the quantitative prediction of the binding affinity in biomolecular system |
Yoshiaki Tanida |
Fujitsu Laboratories Ltd. |
P1-07 |
Theoretical Comparison of the Conformational Affinity between hOGG1 DNA Repair Protein and DNA holding different Numbers of 8-oxoG |
Ai Suzuki |
Tohoku University |
P1-08 |
Fragment Molecular Orbital Calculations on the Interaction and Binding Energies of Human Protease Renin and its Inhibitors |
Yoichiro Yagi |
Okayama University of Science |
P1-09 |
Construction of a platform for protein-ligand binding affinity prediction: Application to colony-stimulating factor-1 receptor (CSF-1R) |
Kentaro Takai |
Fujitsu Limited |
P1-10 |
Estimating the qualitative and quantitative capability of the MM/3D-RISM method |
Masatake Sugita |
Ritsumeikan University |
P1-11 |
Computational analysis of interaction between HLA-B*13:01 with Dapson responsible for drug-inducing hypersensitivity syndrome |
Hiroaki Gouda |
School of Pharmacy, Showa University |
P1-12 |
An approach for analyzing protein-ligand binding pockets using probe molecules |
Hiroyuki Sato |
Fujitsu Laboratories Ltd. |
P1-13 |
Fragment ER : Efficient and Accurate Binding Free Energy Calculation Method for Protein-ligand Complex |
Tomohide Masuda |
Toray Industries, Inc. |
P1-14 |
Toward the rapid in silico screening of mutations to improve the thermal stability of proteins |
Kanji Oshima |
KANEKA CORPORATION |
P1-15 |
Estimation of binding free energy for the Pim1 kinase-ligand system based on the MM/3D-RISM method |
Takeshi Hasegawa |
Department of Bioinformatics, College of Life Scie |
P1-16 |
Inhibition Mechanisms of Carbapenem Antibiotics on Acylpeptide Hydrolase: Docking Simulation Study |
Hiroki Otaki |
Nagasaki University |
P1-17 |
Prediction of peptide binding to a major histocompatibility complex class I molecule based on docking simulation |
Takeshi Ishikawa |
Nagasaki University |
P1-18 |
Molecular Simulation Analysis of RNA Aptamer to Human Immunoglobulin G |
Hisae Yoshida |
Nihon University |
P1-19 |
Analysis of Intermolecular Interactions between Measles Virus Hemagglutinin and Receptors by the Fragment Molecular Orbital Method |
Fengqi Xu |
Kobe University |
P1-20 |
Re-docking by Analyzing the Profile of Protein-protein Interaction |
Yosuke Amano |
Dept. Sci. & Eng., Tokyo Denki Univ. |
P1-21 |
Application of FMO-LCMO method to Protein-Ligand system |
Takao Otsuka |
RIKEN QBiC |
P1-22 |
The molecular simulation for predicting RNA duplex dimerization free-energy changes upon mutations and three dimensional protein-RNA complex structures |
Shun Sakuraba |
AI center, AIST |
P1-23 |
Molecular dynamics simulation of binding free energy between protein and ligand |
Teruhisa KOMATSU |
QBiC, RIKEN |
P1-24 |
Flexible Fitting to Cryo-EM Density Map using Ensemble Molecular Dynamics Simulations |
Osamu Miyashita |
RIKEN Advanced Institute for Computational Science |
(2)インシリコ創薬 (In silico drug discovery) |
P2-01 |
Discovery of allosteric non-peptide ERK2 inhibitors through in silico screening and competitive binding assay |
Takayoshi Kinoshita |
Osaka Prefecture University |
P2-02 |
In Silico Prediction of Drug Inhibitory Activities to Monoamine Transporters using ADMEWORKS (R) |
Kazuo Hirota |
Eisai Co., Ltd. |
P2-03 |
Interaction Analysis of FABP4 Inhibitors by X-ray Crystallography and Fragment Molecular Orbital Analysis |
Uno Tagami |
Ajinomoto |
P2-04 |
Exploring Structural Diversity and Ligand Binding Property Consensus from Protein Structure Database |
Akitoshi Okada |
Ryoka Systems Inc. |
P2-05 |
Reactivity evaluation of donepezil in the oxidation by CYP3A4 based on QM calculation |
Atsuko Sato |
Kyowa Hakko Kirin Co.,Ltd. |
oral only P2-06 |
Molecular dynamic approach to identify significant PTP1B inhibitors to combat diabetes |
Shabana Bibi |
Maebashi Institute of Technology |
P2-07 |
Bridging the dimensions: Seamless integration of 3D structure-based design and 2D structure-activity relation-ships to guide medicinal chemistry |
Marina Takahashi |
Hulinks Inc. |
P2-08 |
Predicting inhibitory and activatory effects of drug candidate compounds from chemically-induced transcriptome data by a multitask learning with gene perturbation similarity |
Ryusuke Sawada |
Kyushu University |
P2-09 |
Apo- and antagonist-binding structures of vitamin D receptor ligand-binding domain in solution studied by MD and SAXS hybrid approachy |
Yasuaki Anami |
Showa Pharmaceutical University |
P2-10 |
Efficient Similarity Search Using Multiple Reference Molecules on PG-Strom architecture |
Kohei KaiGai |
NEC Business Creation Division |
P2-11 |
Fragment-based Drug Design based on SZMAP Water Mapping in Protein Active Site |
Hideyuki Sato |
OpenEye Japan Co.,Ltd. |
P2-12 |
Application of deep learning for large scale data with standard performance workstation(s) |
Tetsuro KITAJIMA |
Research Institute of Systems Planning Inc. |
P2-13 |
Hydrogen bond basicity prediction for common fragments in high-activity compounds |
Yoshio Okiyama |
RIKEN CLST |
P2-14 |
Human insight in drug discovery: docking pose selection in protein-ligand docking and hit-compounds selection in structure-based virtual screening |
Kazuki Yamamoto |
The University of Tokyo |
P2-15 |
Structure-Based Rational Design of Novel Oral Bioactive LXR Modulators |
Tomohiro Shimada |
TEIJIN PHARMA LIMITED |
P2-16 |
Prediction of sites of metabolism of compounds for CYP1A2 by combined molecular simulations |
Hiroaki Saito |
RIKEN Quantitative Biology Center (QBiC) |
P2-17 |
Prediction of Tankyrase2-ligand Binding Affinities Using Molecular Mechanics and Quantum Mechanics Calculations |
Noriaki Okimoto |
RIKEN QBiC |
P2-18 |
Towards Desktop laboratory from MD, docking, and virtual screening to bio assay: Computation performance |
Tadaaki Mashimo |
N2PC (IMSBIO Co., Ltd.) |
P2-19 |
ESPRESSO: An ultrafast compound pre-screening method with segmented compounds |
Keisuke Yanagisawa |
Tokyo Institute of Technology |
P2-20 |
Singular Value Decomposition in the FMO-IFIE Analysis for Ligand Screening |
Keiya Maruyama |
Kobe University |
P2-21 |
GPCR/Membrane Model Builder for Molecular Dynamics Simulation |
Mitsuhito Wada |
Next Generation Natural Products Chemistry |
P2-22 |
Postprocessing protein-ligand docking based on the distance among interaction energy vectors |
Nobuaki Yasuo |
Tokyo Institute of Technology |
P2-23 |
Drug repositioning for Chagas disease by docking simulation and in vitro assay |
Ryunosuke Yoshino |
The University of Tokyo |
P2-24 |
Development of the selective inhibitor of WNK1 using fragment compounds |
Nae Saito |
The University of Tokyo |
oral only P2-25 |
Discovery of Novel LPA-1 Antagonists - Computational Analysis for Molecular Design - |
Hiromu Egashira |
Ono Pharmaceutical Co., Ltd. |
P2-26 |
Semi-automated FMO calculation protocol for construction of IFIE-database |
Chiduru Watanabe |
RIKEN CLST |
P2-27 |
Flexible ligand docking to multiple receptor: application to tankyrase2-ligand system |
Yoshinori Hirano |
RIKEN QBiC |
P2-28 |
An Application of Deep Learning for Classifying Chemical Structures |
Yoshinori Wakabayashi |
BY-HEX LLP |
(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 |
Generation of Amino Acid Indices to Distinguish Two Peptide Groups |
Riho Miyaki |
Kwansei Gakuin University |
P3-02 |
Network-based-Analysis of Glycosyltransferase and Protein Interaction |
Shogo Satoyama |
Kwansei Gakuin University |
P3-03 |
Neuronal differentiation model constructed from combination of network motifs in the comprehensive molecular interaction map |
Tsuyoshi Iwasaki |
Sumitomo Dainippon Pharma Co., Ltd. |
P3-04 |
Prediction of interacting proteins from homologous protein-protein interactions |
Yoichi Murakami |
NIBIOHN |
P3-05 |
Toxygates for toxicogenomics analysis: an update |
Yayoi Natsume-Kitatani |
NIBIOHN |
P3-07 |
Network inference from promoter activity in lung cancer |
Yukiko Sano |
Juntendo University |
P3-08 |
An integrative systems analysis of gene expression profiles of the fibrotic lung from CD151 knockout mice reveals insights into the mechanisms of lung fibrosis |
Lokesh P. Tripathi |
NIBIOHN |
P3-09 |
Pathway-based drug discovery and repositioning by large-scale chemically-induced transcriptomics |
Michio Iwata |
Kyushu University |
P3-10 |
Evaluating immune related function and characteristic analysis of the Okinawan lactic acid bacteria |
Shinya Ikematsu |
National Institute of Technology, Okinawa College |
P3-11 |
Using gene expression profiles to identify the underlying mechanism of adverse drug events |
Attayeb Mohsen |
NIBIOHN |
P3-12 |
Garuda Platform - Connecting Analytics for Open Innovation |
Yukiko MATSUOKA |
SBX Corporation, The Systems Biology Institute |
P3-13 |
Genetic analysis of mitochondrial disorder |
Masakazu KOHDA |
Saitama Medical University |
P3-14 |
A novel ChIP-Seq spike-in strategy enables detection of global histone modification changes across the genome |
Masato Yonezawa |
Active Motif, Inc., Carlsbad, CA USA |
P3-15 |
Development of the Protein Motif Extraction System based on an Artificial Bee Colony Algorithm |
Takashi Yamamoto |
Toyohashi University of Technology |
P3-16 |
Clustering of Flaviviridae based on RNA sequences using Deep Learning |
Shuya Yamamoto |
Grad. Sch. of Eng. Sci., Osaka University |
P3-17 |
Deep Learning and Human Recognition of Biomolecules for Drug Design and Screening |
Jun Miyake |
Graduate School of Engineering Science, Osaka Univ |
P3-18 |
Analysis of mitochondrial DNA based on whole sequence using Deep Learning |
Masato Shimabayashi |
Grad. Sch. of Eng. Sci., Osaka University |
P3-19 |
VaProS: A Data Cloud Approach for Integration of Protein and Genome Information |
Takashi Gojobori |
King Abdullah University of Science and Technology |
(4)医薬品研究とADMET (Information and computing approach for drug design and ADMET study) |
P4-01 |
Evaluation of drug-likeness on bioavailability by in vitro screening |
Yukinori Kawai |
DAIICHI SANKYO RD NOVARE CO., LTD. |
P4-02 |
Proposal of in silico mechanism-based methodology for prediction of toxicity |
Yu Haranosono |
Senju Pharmaceutical Co., Ltd. |
P4-03 |
Prediction of chemical-induced developmental and reproductive toxicity in human using the machine learning |
Koki Matsuoka |
Tokushima University |
P4-04 |
Informatic assessments of global gene expression data obtained from the analysis of hepatice stellate cell deactivation process |
Seiichi Ishida |
National Institute of Health Sciences |
P4-05 |
Prediction for chemical-induced hepatomegaly and computational analysis of feature motifs |
Kaori Ambe |
Nagoya City University |
P4-06 |
The importance of the applicability domain in prediction QSAR model for chemical-induced hepatomegaly |
Kana Ishihara |
Nagoya City University |
P4-07 |
Estimation of Mechanism-of-Action of Pharmaceutical Compounds Based on Systems Biology Approach |
Ryuta Saito |
Mitsubishi Tanabe Pharma Corporation |
oral only P4-08 |
Intestinal absorption of citrus fruits-derived heptamethoxflavone in rats |
Shion ITO |
Matsuyama University |
P4-09 |
Prediction of hERG binding using a nondominated sorting genetic algorithm and Support Vector Machine |
Keiji Ogura |
RIKEN Center for Life Science Technologies |
P4-10 |
Characterization of cardiac phenotype and drug responses in MiraCellTM Cardiomyocytes from ChiPSC12, a new product of iPS-derived Cardiomyocytes |
Toshikazu Nishie |
CDM center, TAKARA BIO. INC. |
P4-11 |
Study of Effects of NF-κB for Reporting Frequency of Adverse Drug Reactions based on Tox21-AOP Database |
Jun Teraoka |
Meiji Pharmaceutical University |
P4-12 |
HGS is a new molecular target for antitumor medicine |
Kiyoshi Ogura |
Tokyo Metropolitan Institute of Medical Science |
P4-13 |
Construction of the integrated database for hERG blocking small molecules |
Tomohiro Sato |
RIKEN, CLST |
P4-14 |
Analyses of Chemical Properties Associated with Reporting Frequency of Erythema Exudativum Multiforme Major in Adverse Drug Reaction Database |
Yuhei Mashiyama |
Meiji Pharmaceutical University |
P4-15 |
Analyses of Chemical Properties for Reporting Frequency of Thrombocytopenia in Adverse Drug Reaction Database |
Yurie Yoshida |
Meiji Pharmaceutical University |
P4-16 |
Analyses of Chemical Properties Associated with Reporting Frequency of Interstitial Lung Disease in Adverse Drug Reaction Database |
Ryota Higuchi |
Meiji Pharmaceutical University |
(5)上記に属さない先進的研究 (Emerging new technology) |
P5-01 |
Lipoproteins for DDS |
Tatsuya Murakami |
Toyama Prefectural University |
P5-02 |
Spontaneous pseudorotaxane formation methods targeting on nucleic acids |
Kazumitsu Onizuka |
IMRAM, Tohoku University |
P5-03 |
Construction of Organic-Inorganic Nanostructures by Multiple Site-Specific Precipitations on DNAs Using Artificial Peptides |
Makoto Ozaki |
Konan university, FIRST |
P5-04 |
Construction of self-assembled DNA microstructures for synthesis of molecular robots |
Masamune Morita |
Tokyo Institute of Technology |
P5-05 |
Allosteric control of nanomechanical DNA origami devices |
Naohide Akamatsu |
Dept. Chem. Mater. Eng., Kansai University |
P5-06 |
Creation of Phototactic Liposome by Photo-Responsive Peptide |
Kazunori Matsuura |
Tottori University |
P5-07 |
Density Functional Theory and Random Matrix Theory in Proteogenesis |
Masanori Yamanaka |
Nihon University |
P5-08 |
Morphological control of tubulin-encapsulating giant-liposomes induced by change of hydrostatic pressure, temperature and osmotic pressure |
Masahito Hayashi |
Grad. Sch. Sci., Nagoya Univ. |
P5-09 |
Challenge to Develop the Platform of Personalized Medicine and Point-of-Care for Elderly People in Local City of Japan |
Toshihisa Ishikawa |
NGO Personalized Medicine & Healthcare |
P5-10 |
Causality Analysis for Finding Potential Cancer Driver Genes Using a Differential Gene Expression profile in Gene Regulatory Network |
Bharata Kalbuaji |
Tokyo Institute of Technology |
P5-11 |
Microtubules Flow Dynamics Analysis on Gliding Assay |
Bulibuli Mahemuti |
Tokyo Institute of Technology |
P5-12 |
PROLOQL: Integration of SPARQL and Prolog for Sematic Web Systems |
Kenta Watanabe |
Tokyo Institute of Technology |
P5-13 |
Liposome-based Liquid Handling System |
Shota Katsuta |
Chuo University |
P5-14 |
Photochemical RNA editing using 3-vinylcarbazole analog containing oligodeoxynucleotide |
Yasuharu Takashima |
Japan Advanced Institute of Science and Technology |
P5-15 |
The effect of 5-substitution in pyrimidine base in DNA photo-cross-linking using 3-cyanovinylcarbazole |
Shigetaka Nakamura |
Japan Advanced Institute of Science and Technology |
P5-16 |
Construction and functional analysis of DNA origami base DNA-RNAP hybrid nanomachine |
Takeya Masubuchi |
Grad. Sch. of Frontier Sci., The Univ. of Tokyo |
P5-17 |
A Universal Asynchronous Cellular Automaton with Cyclic-States Cells |
Teijiro Isokawa |
University of Hyogo |
P5-18 |
Development of signal amplification circuit composed of acyclic D-threoninol nucleic acid (D-αTNA) for detection of RNA |
Ryuya Nagao |
Graduate School of Engineering, Nagoya University |
P5-19 |
Protein Structure Analysis Platform for Academia-based Drug Discovery |
Takashi Umehara |
RIKEN Center for Life Science Technologies (CLST) |
P5-20 |
Toward the Molecular Artificial Intelligence by using DNA reactions |
Yasuhiro Suzuki |
Nagoya University |
P5-21 |
Microfluidic Formation of Lipid Bilayer-stacking |
Kan Shoji |
Tokyo University of Agriculture and Technology |
P5-22 |
Novel Compensation method for Gene Expression Fluctuation by Real-time Single-cell Selection |
Yumiko Tanaka |
Tokyo Univ., Grad. Sch. Sci. |
P5-23 |
Live Controlled Real-time Microtubule Gliding Assay Simulation for Understanding Dynamic Behavior |
Greg Gutmann |
Tokyo Institute of Technology |
P5-24 |
Automatic AFM-Image Classification with Deep Learning |
Fumiya Kawano |
Tokyo Institute of Technology |
P5-25 |
Structural basis of kinase selectivity of pyrrolo pyrimidine inhibitors between HCK and FLT3 |
Yuri Tomabechi |
RIKEN |
P5-26 |
Nanoscale Investigation of mRNA Localization and Dynamics in Stress Granules |
Ko Sugawara |
University of Tokyo |
P5-27 |
Control of DNA hybridization by Electric fields |
Keitel Cervantes-Salguero |
Tohoku University |
P5-28 |
Controlling diffusion coefficient in gelatinous medium by using DNA strand displacement |
Thanapop Rodjanapanyakul |
Tohoku University |
P5-29 |
Simulation of DNA Nanostructure Self-assembly by using Game Engines |
Theo Dammaretz |
Tohoku University |
P5-30 |
Membrane-like structure made of DNA motifs |
Yuma Endo |
Tohoku University |