update 2019.8.30
Chem-Bio Informatics Society(CBI) Annual Meeting 2019
<Poster List

(1)分子認識と分子計算 (Molecular recognition and molecular modeling)
(2)インシリコ創薬 (In silico drug discovery) 
(3)構造生物学 (Structural biology)
(4)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)
(5)医薬品研究とADMET (Information and computational approach for drug design and ADMET study)
(6)創薬・医療AI (AI for drug discovery and medical treatment)
(7)創薬データサイエンス(Drug Discovery Data Science)
(8)分子ロボティクス (Molecular Robotics)
(9)レギュラトリサイエンス (Regulatory Sciences)
(10)上記に属さない先進的研究(Emerging new technology)

* = Poster and Oral Presentation

Poster No.

Title First Author Affiliation
(1)分子認識と分子計算 (Molecular recognition and molecular modeling)
*P1-01 Development status of ABINIT-MP program in 2019 Yuji Mochizuki Rikkyo University
P1-02 Prediction of log P for cyclodextrin-drug complexes using computational chemistry Masao Fujisawa kindai University
*P1-03 Binding Energy Calculation of Protein-Peptide Complex Using Unbiased MD Simulations and MSM Analysis Hiroaki Hata Tokyo Institute of Technology
*P1-04 Interaction Analyses between Calcite/Apatite and Peptides by Fragment Molecular Orbital Method Ryo Hatada Rikkyo University
*P1-05 Fragment Molecular Orbital Method Applied to Factor Xa Inhibitors Kazufumi Ohkawa Asahi Kasei Pharma Corporation
P1-06 Influence of phosphorylation on structure and electronic states of tau-protein: MD and ab initio fragment MO simulation Katsumi Suzuki Toyohashi University of Technology
P1-07 Determination of stable protonation states of amino acid residues in metalloproteinase-inhibitor complex: ab initio molecular simulations Takuya Ezawa Toyohashi University of Technology
*P1-08 Regulation mechanism of agonistic / antagonistic activities of vitamin D receptor analyzed by generalized ensemble method Takafumi Kudo Yokohama City University
P1-09 The inhibition mechanism of HSP90 function by a medium molecular drug Lisa Matsukura KINDAI Univ.
P1-10 Molecular Dynamics Simulations of HIV Tat protein and Amyloid-β peptides Kazumi Omata National Center for Global Health and Medicine
P1-11 Dynamics of the transmembrane region of β-secretase in raft environment Kaori Yanagino KINDAI Univ.
*P1-12 Development of the CHARMM force field for Cyclosporine A and application to molecular dynamics simulations using a membrane-water system Tsutomu Yamane Yokohama City University
P1-13 Analyzing intramolecular interaction using canonical Kohn-Sham molecular orbital calculation in protein Toshiyuki Hirano The University of Tokyo
P1-14 Homology Modeling of the Protein Structure in the Solution using Deep Auto Encoder and Trajectories of the Long-time Molecular Dynamics Simulation of Template Proteins Masaya Furue KINDAI Univ.
P1-15 Cluster Analysis of Amino Acid by Inter-Fragment Interaction Energy Using Non-Metric Multidimensional Scaling Method Yuki Abe Nihon University
P1-16 Prediction of Inter-Fragment Interaction Energies in Janus Kinase by Neural Network with Geometrical Information on Ligand and Residues Shusuke Tokutomi Kobe University
P1-17 Specific interactions between retinoic acid receptor-related orphan receptor and its ligands: molecular dynamics and ab initio fragment molecular orbital calculations Shusuke Suzuki Toyohashi University of Technology
P1-18 Validation of conformer generation in solution using NMR data Paul Hawkins OpenEye Scientific
P1-19 Molecular simulations on aggregation mechanism of microtubule associated Tau proteins Riku Sato Toyohashi University of Technology
*P1-20 Selectivity of phosphodiesterase-10A inhibitor for phosphodiesterase family elucidated by free energy perturbation approach Toru Ekimoto Yokohama City University
*P1-21 De Novo Binding Prediction using gREST Suyong Re RIKEN BDR
*P1-22 A binding free energy calculation method along a modified thermodynamic path which avoids exhaustive enumeration of multiple protein-ligand poses Yoshitake Sakae Research Organization for Information Science and Technology
P1-23 Improvement of Carbohydrate Force Field for Molecular Dynamics Makoto Ikejo Kobe University
P1-24 Systematic construction of the cosolvents sets for cosolvent MD (CMD) with the large-scale computation Keisuke Yanagisawa The University of Tokyo
P1-25 A Method for Comparing Structural Ensembles: Applications to Molecular Dynamics Trajectory Data Takashi Amisaki Tottori University
P1-26 Fast prediction of binding hotspots on a peptide ligand in complex by Digital Annealer Yoshiaki Tanida Fujitsu Laboratories Ltd.
P1-27 Advanced methods to predict the property of cyclic peptides: reproduction of actual conformations Sakiko Mori Fujitsu Ltd
*P1-28 Advanced methods to predict the property of cyclic peptides: exhaustive and efficient conformation search Kentaro Takai Fujitsu Ltd.
*P1-29 Conformational Changes and Interactions of Calcium Ion Signal Transfer Protein Calmodulin and Calmodulin-binding Domain by Multi-scale and Docking Simulation Hiromitsu Shimoyama Kitasato University
*P1-30 Autoencoder-based Analyses of Dynamic Allostery on Proteins by Regulator Binding Yuko Tsuchiya AIRC, AIST
P1-31 Molecular dynamics simulation of drug efflux in multidrug ABC transporter Takumi Someya Yokohama City University
P1-32 Characterization of water-molecule interaction based on fragment molecular orbital method Hiromichi Tsurui Juntendo University
*P1-33 Computational approaches to drug-receptor binding kinetics Osamu Ichihara Schrödinger K.K.
P1-34 Investigation of stabilization mechanism of amorphous solid dispersion by fragment molecular orbital calculation Xiaohan Ma Chiba University
P1-35 Interaction analysis of HIV protease-inhibitor complex by fragment molecular orbital method Hirofumi FUJI Kindai University
P1-36 Assessment of a simple pKa estimation scheme for drug molecules by quantum chemical calculations Takao Otsuka RIKEN BDR
P1-37 Is hydrophobic group in osmolyte hydrophilic? (2): A time series interaction energy decomposition analysis study by means of effective fragment potential molecular dynamics simulation Tamon Funakura Chuo University
P1-38 Artificial ion channels studies by All-atom molecular dynamics simulations Takahiro Osamura Yokohama City University
*P1-39 Thermodynamic, kinetic and computational analyses of the recognition mechanism of a flexible protein antigen by an antibody Ikuho KANEDA The University of Tokyo
*P1-40 Ligand Binding Mechanism of an Enzyme Studied by Binding Free Energy Analyses for Mutants of the Protein Yoshiharu Mori Kitasato University
P1-41 Conformation analysis of hydrogen atoms around ligand-binding pocket based on quantum chemical calculation Chiduru Watanabe RIKEN BDR
P1-42 In vitro screening systems for influenza virus RNA polymerase inhibitors Miho Kobayashi Gifu University
P1-43 Can Cryptic Binding Sites Be Characterised by Voids, Pocket Detection, and Molecular Dynamics? Shinji Iida Technology Research Association for Next-Generation Natural Products Chemistry
P1-44 Computational study on conformational transition of protein binding pocket upon ligand binding Noriaki  Okimoto RIKEN
P1-45 The computational study of cycloaddition with Rhodium catalyst Watanabe Kazuki Osaka University
P1-46 Analysis of target DNA recognition mechanism by Nrf2-small Maf heterodimer using fragment molecular orbital (FMO) method Toru Sengoku Yokohama City University
*P1-47 Interaction Analysis between HEL and HyHEL10 by Fragment Orbital Method Norihito Kawashita Kindai University
P1-48 Combined computational and experimental study on the binding mechanism of RNA aptamer to human Immunoglobulin G Keisuke Masukawa Nihon University
P1-49 Investigation of drug resistance acquisition mechanism of influenza cap-dependent endonuclease against Baloxavir marboxil by molecular dynamics simulation Ryunosuke Yoshino University of Tsukuba
(2)インシリコ創薬 (In silico drug discovery)
P2-01 Suitable chemical library for academic researchers in Japan Hirotatsu Kojima The University of Tokyo
*P2-02 Classification QSAR with Vanishing Kernels and a single parameter Francois Berenger Kyushu Institute of Technology
P2-03 Automated Assessment of Binding Affinity via Free Energy Perturbation Giovanna Tedesco Cresset
*P2-04 Discovery of novel selective CSF-1R Inhibitors with de novo drug design of FBDD and MD simulation Mutsuyo Wada Fujitsu Ltd.
P2-05 Predicting pKa Using a Combination of Quantum and Machine Learning Methods Peter Hunt Optibrium Ltd.
*P2-06 An in silico approach for integrating phenotypic and target-based approaches in drug discovery Hiroaki Iwata Kyoto University
*P2-07 Analysis of subtype selectivity in estrogen-like compounds Yuya Seki Hoshi University
P2-08 FMO analysis of binding property of estrogen receptor and β selective ligands Tsukasa Kato Hoshi University
P2-09 High-speed geometry optimization for protein active site with the fragment molecular orbital method Koji Okuwaki Hoshi University
*P2-10 Development of FMODB for analyzing protein-ligand interactions in 2019 Daisuke Takaya RIKEN BDR
P2-11 Analysis of FMO-based intramolecular interaction energies for structural stability of apo structures Kikuko Kamisaka RIKEN BDR
P2-12 Transformation-driven Molecule Generation as Another Benchmarking Model Ryuichiro Hara Lifematics, Inc.
*P2-13 Inter-lobe motion of EGFR kinase: Determinants of structural variation in the crystal structures Kei Moritsugu Yokohama City University
*P2-15 Insights into the Mechanism of NA-I117V-Mediated Oseltamivir Resistance in H5N1 Avian Influenza Virus Mohini Yadav Chiba Institute of Technology
P2-16 Biotherapeutics modeling and developability assessment by Bio-MOE Kentaro Kamiya MOLSIS Inc.
P2-17 Design and Implementation of an Easy to Use High Performance Comput ing Service System for Large Scale Molecular Dynamics Simulations Yoshio Nakao Fujitsu Limited
P2-18 Development of a Library Containing Billions of Virtual Compounds Aki Hasegawa RIKEN BDR
(3)構造生物学 (Structural biology)
*P3-01 IsdH: mechanism of action and novel antibacterial strategies Sandra Valenciano Bellido The University of Tokyo
*P3-02 Effect of binning size of XFEL Diffraction Patterns on the resolution of reconstructed 3D-molecular structure Miki Nakano RIKEN, Center for Computational Science
P3-03 Mail-in X-ray Diffraction Data Collection for High-throughput Crystal Structure Determination Hideaki Niwa RIKEN BDR
P3-04 Structural basis for the binding of histo-blood group antigens to the norovirus capsid protein Tomomi Kimura-Someya RIKEN BDR
P3-05 Crystal structures of GAS41 YEATS domain in complex with acylated histone peptides Masaki Kikuchi RIKEN BDR
P3-06 Crystal structure of the Hepatitis B virus core protein complexed with a novel drug candidate Wakana Iwasaki RIKEN BDR, RIKEN Center for Life Science Technologies
*P3-07 Structural insights into cyclic peptides in complex with target proteins Satoshi Sogabe Axcelead Drug Discovery Partners, Inc.
P3-08 Prospects for applying in-silico crystal structure prediction to drug development Okimasa Okada Mitsubishi Tanabe Pharma Corp.
*P3-09 Influence Analysis of Amino Acid Residues on Protein Functions using Attention-based Neural Networks Takato Kameyama Waseda University
P3-10 A Novel Inhibitor Stabilizes the Inactive Conformation of MAPK-interacting Kinase 1 Yumi Matsui Daiichi Sankyo RD Novare Co., Ltd.
P3-11 Structural changes in Cl- pump rhodopsin by time-resolved serial femtosecond crystallography Toshiaki Hosaka RIKEN BDR
P3-12 Crystal Structure of EGFR T790M/C797S in complex with Brigatinib Mutsuko Kukimoto-Niino RIKEN BDR
P3-13 Analyses based on statistical thermodynamics for large difference between thermophilic rhodopsin and xanthorhodopsin in terms of thermostability Satoshi Yasuda Chiba University
P3-14 Analysis by an Accelerated Quantum Chemical Molecular Dynamics Method for the 8-oxoG added DNA Structure Ai Suzuki Tohoku University
*P3-15 Validation of protein structure from low resolution density map using Deep Learning Miwa Sato Mitsui Knowledge Industry Co., LTD
*P3-16 Automated X-ray crystallographical inhibitor screening against an insect ecdysteroidogenic enzyme, Noppera-bo Kotaro Koiwai Institute of Materials Structure Science, High Energy Accelerator Research Organization
P3-17 Development of the screening system to create GPCR mutants stabilized in active states Ryosuke Nakano Chiba University
P3-18 Identification of a conserved allosteric site in Heme-copper oxygen reductase Yuya Nishida National Cerebral and Cardiovascular Center Research Institute
P3-19 The influence of cosolvent on thermal stability of membrane proteins Kazuki Kazama Chiba University
(4)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)
*P4-01 Identification of a biomarker for disease progression in heart failure using single-cell RNA sequencing data Momoko Hamano Kyushu Institute of Technology
P4-02 An importance of polyamine metabolism regulated by cancer stem cells highlighted by our trans-omics method Jun Koseki Osaka University
*P4-03 Interpreting Japanese GWAS Results on Multi-Omics Drug Target Validation Platform Wirawit Chaochaisit Genesis Healthcare Co.
*P4-04 Development of Integrated Database “dbTMM” for stratification of cohort participant toward drug development Satoshi Nagaie Tohoku Medical Megabank Organization, Tohoku University
*P4-05 Development of phenotyping algorithms for hypertensive disorders of pregnancy (HDP) for precise stratification toward drug development Satoshi Mizuno Tohoku Medical Megabank Organization, Tohoku University
(5)医薬品研究とADMET (Information and computational approach for drug design and ADMET study)
P5-01 Development of a Liver Toxicity Informatics System (AMED project) Hiroshi Yamada NIBIOHN
P5-02 DILI-cSEARCH: a DILI database for drug safety assessment Yoshinobu Igarashi NIBIOHN
P5-03 Ontology-based Toxic Process Interpretable Knowledge System for Drug-Induced Liver Injury Yuki Yamagata NIBIOHN
P5-04 Development of an informatics system for predicting cardiotoxicity: 6. Update of the AMED cardiotoxicity database and the hERG prediction model with additional assays for the compounds selected by active learning Tomohiro Sato RIKEN BDR
P5-05 Development of an informatics system for predicting cardiotoxicity: 7. hERG prediction model based on docking simulation and interaction descriptors with hERG residues Hitomi Yuki RIKEN BDR
P5-06 Development of a pharmacokinetics prediction system using multiscale integrated modeling: 13. Development of DruMAP, Drug Metabolism and pharmacokinetics Analysis Platform Hitoshi Kawashima NIBIOHN
P5-07 Development of a pharmacokinetics prediction system using multiscale integrated modeling: 14. In silico three-class predictor of human intestinal absorption with Caco-2 permeability and dried-DMSO solubility Tsuyoshi Esaki Shiga University
P5-08 Development of a pharmacokinetics prediction system using multiscale integrated modeling:15. Development of an in silico prediction system of human renal excretion and clearance from chemical structure information Reiko Watanabe NIBIOHN
P5-09 Development of a pharmacokinetics prediction system using multiscale integrated modeling:16. Prediction of sites of metabolism of drug by CYP2C9 by molecular simulation Hiroaki Saito RIKEN BDR
P5-10 Development of a pharmacokinetics prediction system using multiscale integrated modeling: 17. Accuracy and performance of the MDGRAPE-4A system Gentaro Morimoto RIKEN BDR
P5-11 QSAR model to predict Kp,uu,brain with small-scale dataset -incorporating predicted values of related parameters- Yuki Umemori Teijin Pharma Limited.
*P5-12 Cluster Gauss-Newton method for efficiently estimating multiple sets of parameters: Application to Physiologically-Based PharmacoKinetic models Ken Hayami National Institute of Informatics and Department of Informatics, School of Multidisciplinary Sciences, SOKENDAI
*P5-13 Prediction of Health Effects of Food Peptides and Elucidation of The Mode-of-action Using Multi-task Graph Convolutional Neural Networks Itsuki Fukunaga Kyushu Institute of Technology
P5-14 Case study of machine learning for drug metabolism and pharmacokinetics properties Kazuyoshi Yoshii Zeria Pharmaceutical Co., Ltd
*P5-15 Free Energy Landscapes of Cyclic Hexapeptide Diastereomers by Multicanonical Molecular Dynamics Simulations Satoshi Ono Mitsubishi Tanabe Pharma Corporation
(6) 創薬・医療AI (AI for drug discovery and medical treatment)
*P6-01 Interpretable Reaction Prediction using Graph Convolutional Networks Shoichi Ishida Kyoto University
P6-02 Applicable Machine Learning Method to Predict Site of Metabolism ~Comparison of Various Methods Using In-house Compounds ~ Katsunori Sasahara Otsuka Pharmaceutical Co., Ltd.
P6-03 In Silico Modeling to Predict Drug-induced Phospholipidosis Based on Machine Learning Approach Yui Migura Otsuka Pharmaceutical Co., Ltd.
P6-04 In silico models for predicting hepatotoxicity and renal toxicity based on HESS database Tatsuya Ochibe Nagoya City University
P6-05 Prediction of pharmacological activities from chemical structures with graph convolutional neural network Miyuki Sakai Kyoto University
P6-06 Design of Selective GPCR Antagonists with a desired Pharmacophore using Deep Reinforcement Learning Chisato Kanai INTAGE Healthcare, Inc.
*P6-07 High-performance predication model utilizing a novel deep learning-based QSAR analysis using Deep Snap and the Tox 21 10k library Yasunari Matsuzaka Meiji Pharmaceutical University
*P6-08 Development of AI-aided hit compound finding/profiling system for imaging-based high content screening Hiroki Terauchi Eisai Co., Ltd.
*P6-09 Computational drug target prediction using PU learning approach Kazuto Nakata NEC Corporation
*P6-10 Meta-modeling for Optimization in QSAR Modeling Processes and Application to Estrogen Receptor Agonist Activity Prediction Kota Kurosaki Meiji Pharmaceutical University
*P6-11 Predicting drug-induced transcriptome responses of a wide range of human cell lines by a novel tensor-train decomposition algorithm Michio Iwata Kyushu Institute of Technology
P6-12 3D-RISM-AI: A machine learning approach to predict protein-ligand binding affinity using 3D-RISM Kazu Osaki Yokohama City University
*P6-13 Deep Learning-aided Label-free, Real-time and Time-lapse Cell Visualization System that Enables Live/Dead Cell Discrimination and Counting Tamio Mizukami Nagahama Institute of Bio-Science and Technology, Frontier Pharma Inc.
P6-14 Deep-learning of cancer stem cell morphology Tomoyasu Sugiyama Tokyo University of Technology
P6-15 Study on adverse outcome pathways related to drug-induced rhabdomyolysis using machine learning Shunichi Sasaki Meiji Pharmaceutical University
P6-16 A New Scoring Function for Protein Structure Assessment Based on the Hydration Structure Information Yasuomi Kiyota Kitasato University
P6-17 Development of in silico prediction model for skin sensitization using the alternative tests dataset Masaharu Suzuki Nagoya City University
*P6-18 Focused Library Generative Model for GPCR Family Gen Li Tokyo Institute of Technology
*P6-19 Prediction of G4MP2-level Molecular Properties from DFT-level Structures Using Deep Tensor Neural Network Mingda Wan Tokyo Institute of Technology
(7)創薬データサイエンス (Drug Discovery Data Science)
P7-01 Data set selection in deep learning based CYP3A4 binding mode prediction Atsuko Sato Tokyo Institute of Technology
P7-02 An Approach to Investigate Disease Mechanisms by FAERS Data Mining Yoshito Ohya Kyowa Kirin Co., Ltd.
*P7-03 Predicting drug indications and therapeutic target modules based on disease similarity by interpretable machine learning models Ryusuke Sawada Kyushu Institute of Technology
P7-04 A Method for Systematic Analog Searching Using the Mega SAR Matrix Database Atsushi Yoshimori Institute for Theoretical Medicine, Inc.
*P7-05 The Multiple Representation of Protein Sequence Motifs Using Sequence Binary Decision Diagrams Hiroaki Kato National Institute of Technology,
Hiroshima College
P7-06 Development of preventive drugs against oxaliplatin-induced peripheral neuropathy using large-scale medical database Takahiro Niimura Tokushima University
P7-07 Kampo Drug Repositioning and Compound Mixture Analyses using Multi-task Graph Convolutional Neural Networks Akihiro Douke Kyushu Institute of Technology
*P7-08 Prediction of Compound-Protein Interactions and Visualization Based on Graph Convolutional Networks Marie Ikeguchi Kyoto University
*P7-09 Development of data curation and integration protocol for the chemical library in early drug discovery Yugo Shimizu Keio University
*P7-10 Clustering therapeutic drugs based on similarities of indications and side effects reported in public database Ryutaro  Shinkawa Mie University School of Medicine
*P7-11 Drug Discovery Raid Battle 2018: an open challenge to discover PD-1/PD-L1 small-molecule inhibitors Kazuki Yamamoto Isotope Science Center, University of Tokyo
*P7-12 Automatic Reading of Tables and Figures in Scientific Papers Hiroyuki Shindo Nara Institute of Science and Technology
(8)分子ロボティクス (Molecular Robotics)
*P8-01 Functionalization of liposomes using artificially evolved peptides against lipid membranes Takuya Terai Saitama University
P8-02 Experimental Investigation of DNA Generation Circuits toward Molecular Robot Control Ken Komiya Tokyo Institute of Technology
*P8-03 A database to store design information of DNA nanostructure Ibuki Kawamata Tohoku University
P8-04 Haptic Interactive Virtual Reality Simulation on Biomolecules Arif Pramudwiatmoko Tokyo Institute of Technology
*P8-05 Molecular dynamics study on breakage of photoresponsive DNA Ryuzo Azuma Tokyo Institute of Technology
P8-06 Formulating R&D Guidelines for Molecular Robotics Naoto Kawahara Kyushu University
*P8-07 Programmable DNA reaction-diffusion system for a Voronoi pattern formation in hydrogel Keita Abe Tohoku University
*P8-08 Reconstitution of kinesin-based transport complex using DNA origami Kodai Fukumoto Institute for Protein Research, Osaka University
P8-09 Gold nanoparticle-loaded DNA hydrogel microparticles for catalysis in aqueous phase Daisuke Ishikawa Tokyo Metropolitan University
*P8-10 Negating Latency for Fluid Interactions with Biomolecules in a Client/Server VR System Gregory Gutmann Tokyo Institute of Technology
P8-11 Implementing Real Time Molecular Dynamics with in Haptic Molecular Modeling Environment Yutaka Ueno AIST
P8-12 Design and optimization of a branching structure for dendric DNA structure Takayuki Kobayashi Kansai University
(9)レギュラトリサイエンス (Regulatory Sciences)
P9-01 Attempts to establish the in vitro BBB model suitable for drug development ― Comparative study of 2D rat model, 2D human cell line model, and 3D human cell line model― Kimiko Kitamura National Institute of Health Science
P9-02 Small Compound-based Direct Reprogramming Using Large-scale Omics Data Toru Nakamura Kyushu Institute of Technology
P9-03 CNN can detect the sensitivity for radioresistance of cancer cells Masamitsu Konno Osaka University
P9-04 Media analysis of emerging sciences and technologies in Japan- implications for Molecular Robotics Ryuma Shineha Seijo University
P9-05 Potential concerns regarding designated ingredient containing food of Food Sanitation Law of Japan Mitsuo Saito Institute for Health Vigilance
P9-06 Multi-functional analysis for applicability evaluation of human iPS cell-derived hepatocytes to DILI assays Shinichiro Horiuchi National Institute of Health Sciences
P9-07 Evaluation of Cell Culture Profiling System with HepG2 Cell Culture Using Microphysiological Systems Ryuya Fujii National Institute of Health Sciences
(10)上記に属さない先進的研究(Emerging new technology)
P10-01 Evidence for the utility of human induced pluripotent stem cell-derived neurons in safety pharmacology-fact data indicating the achievement of network activities Kanako Takahashi National Institute of Health Sciences
P10-02 Development of automatic analysis and quality control of mass spectrometry-based metabolome data Yasuko Aita Tokyo Medical University
P10-03 CASLcDB: Comprehensive Annotation of human SLc transporters DataBase Hafumi Nishi Tohoku University
P10-04 Approach of the global QSAR modeling for fish acute toxicity and the future issue for improvement Koji Jojima Chemicals Evaluation and Research Institute, Japan
P10-05 Attempt to Construct a Primitive Metabolic Network in Deep Hydrothermal Vent Environments Ryo Hamano Kobe University
P10-06 Computational Direct Reprogramming by Integrating Genome, Transcriptome and Epigenome Data Ryohei Eguchi Kyushu Institute of Technology