Y. Okuno

Y. Okuno, Ryohei Katayama, Y. Horio, 2020, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

A Platform for Comprehensive Genomic Profiling in Human Cancers and Pharmacogenomics Therapy Selection.

Y. Okuno, M. Kamada, M. Nakatsui, 2018, Methods in molecular biology.

Efficient tree-matching methods for accurate carbohydrate database queries.

Tatsuya Akutsu, Atsuko Yamaguchi, Minoru Kanehisa, 2003, Genome informatics. International Conference on Genome Informatics.

Microarray evaluation of EP4 receptor-mediated prostaglandin E2 suppression of 3T3-L1 adipocyte differentiation.

G. Tsujimoto, Y. Okuno, Soken Tsuchiya, 2004, Biochemical and biophysical research communications.

The Trial of Drug Discovery using the In-Silico Screening Methods Developed by Pharmaceutical Innovation Value Chain

Y. Fukunishi, Haruki Nakamura, Y. Okuno, 2010 .

Hypersensitivity reactions to anticancer agents: Data mining of the public version of the FDA adverse event reporting system, AERS

Yasushi Okuno, Y. Okuno, A. Kuwahara, 2011, Journal of experimental & clinical cancer research : CR.

Extraction of protein dynamics information from cryo-EM maps using deep learning

Yasushi Okuno, Mitsugu Araki, Takayuki Kato, 2021, Nature Machine Intelligence.

Characterization of gene expression profiles for different types of mast cells pooled from mouse stomach subregions by an RNA amplification method

G. Tsujimoto, Y. Okuno, Soken Tsuchiya, 2009, BMC Genomics.

CGBVS‐DNN: Prediction of Compound‐protein Interactions Based on Deep Learning

Jun Ye, Jinlong Hou, Masatoshi Hamanaka, 2017, Molecular informatics.

Suppression of IgE-Independent Degranulation of Murine Connective Tissue-Type Mast Cells by Dexamethasone

Y. Okuno, M. Kamada, K. Sakamaki, 2019, Cells.

Artificial Zinc Finger Peptide Containing a Novel His4 Domain (BIOORGANIC CHEMISTRY-Bioactive Chemistry)

S. Futaki, Y. Okuno, Y. Hori, 2000 .

Adverse Event Profiles of Platinum Agents: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations

Yasushi Okuno, Y. Okuno, T. Sakaeda, 2011, International journal of medical sciences.

Extraction of Protein Dynamics Information Hidden in Cryogenic Electron Microscopy Maps Using Deep Learning

Yasushi Okuno, Mitsugu Araki, Kei Terayama, 2020, bioRxiv.

Gender Effects on Statin-Associated Muscular Adverse Events: An Analysis of the FDA AERS Database

Y. Okuno, T. Sakaeda, Kaori Kadoyama, 2013 .

Expression profiling of cumulus cells reveals functional changes during ovulation and central roles of prostaglandin EP2 receptor in cAMP signaling.

G. Tsujimoto, Y. Okuno, S. Narumiya, 2010, Biochimie.

Identification of genomic biomarkers for concurrent diagnosis of drug-induced renal tubular injury using a large-scale toxicogenomics database.

H. Yamada, Yohsuke Minowa, Y. Okuno, 2009, Toxicology.

Adverse Event Profiles of 5-Fluorouracil and Capecitabine: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS, and Reproducibility of Clinical Observations

Yasushi Okuno, Takao Tamura, Y. Okuno, 2011, International journal of medical sciences.

Computational chemogenomics: Is it more than inductive transfer?

Gilles Marcou, Alexandre Varnek, Dragos Horvath, 2014, Journal of Computer-Aided Molecular Design.

A Survey of the FAERS Database Concerning the Adverse Event Profiles of α1-Adrenoreceptor Blockers for Lower Urinary Tract Symptoms

Y. Okuno, O. Ogawa, T. Sakaeda, 2013, International journal of medical sciences.

Comprehensive analysis of the effect of phytoestrogen, daidzein, on a testicular cell line, using mRNA and protein expression profile.

G. Tsujimoto, Y. Okuno, K. Matsuda, 2005, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

A probabilistic model for mining implicit 'chemical compound-gene' relations from literature

Hiroshi Mamitsuka, Shanfeng Zhu, Yasushi Okuno, 2005, ECCB/JBI.

Gilteritinib overcomes lorlatinib resistance in ALK-rearranged cancer

Y. Okuno, Ryohei Katayama, M. Shirouzu, 2021, Nature Communications.

Allosteric regulation of a ribozyme activity through ligand-induced conformational change.

Y. Okuno, Y. Sugiura, Y. Hara, 1998, Nucleic acids research.

Antipsychotics-Associated Serious Adverse Events in Children: An Analysis of the FAERS Database

Yasushi Okuno, Y. Okuno, T. Sakaeda, 2015, International journal of medical sciences.

[Artificial Intelligence in Drug Discovery].

Yasushi Okuno, Mayumi Kamada, Y. Okuno, 2018, Gan to kagaku ryoho. Cancer & chemotherapy.

Aspirin- and Clopidogrel-associated Bleeding Complications: Data Mining of the Public Version of the FDA Adverse Event Reporting System, AERS

Yasushi Okuno, Takao Tamura, Y. Okuno, 2012, International journal of medical sciences.

Dynamic Docking of a Medium-Sized Molecule to Its Receptor by Multicanonical MD Simulations.

Yasushi Okuno, Mitsugu Araki, Narutoshi Kamiya, 2019, The journal of physical chemistry. B.

Exhaustive search of the configurational space of heat‐shock protein 90 with its inhibitor by multicanonical molecular dynamics based dynamic docking

Mitsugu Araki, Narutoshi Kamiya, Gert-Jan Bekker, 2020, J. Comput. Chem..

Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity

Y. Okuno, Ryohei Katayama, R. Kanada, 2021, npj Precision Oncology.

Abnormal features in mutant cerebellar Purkinje cells lacking junctophilins.

Masahiko Watanabe, G. Tsujimoto, Y. Okuno, 2007, Biochemical and biophysical research communications.

Histamine synthesis is required for granule maturation in murine mast cells

Yasushi Okuno, Satoshi Tanaka, Atsushi Ichikawa, 2014, European journal of immunology.

Anti-multiple myeloma drug-associated taste dysfunction: An analysis of the FAERS database

Y. Okuno, T. Sakaeda, Kaori Kadoyama, 2016 .

Omeprazole- and Esomeprazole-associated Hypomagnesaemia: Data Mining of the Public Version of the FDA Adverse Event Reporting System

Y. Okuno, T. Sakaeda, T. Tamura, 2012, International journal of medical sciences.

Substructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner

Adriaan P. IJzerman, Eelke van der Horst, Andreas Bender, 2009, J. Chem. Inf. Model..

Cross-Target View to Feature Selection: Identification of Molecular Interaction Features in Ligand-Target Space

Satoshi Niijima, Yasushi Okuno, Hiroaki Yabuuchi, 2011, J. Chem. Inf. Model..

GLIDA: GPCR-ligand database for chemical genomic drug discovery

Yasushi Okuno, Jiyoon Yang, Kei Taneishi, 2005, Nucleic Acids Res..

An in silico Approach for Integrating Phenotypic and Target‐based Approaches in Drug Discovery

Ryosuke Kojima, Yasushi Okuno, Hiroaki Iwata, 2019, Molecular informatics.

Specific interaction between a novel enediyne chromophore and apoprotein in macromolecular antitumor antibiotic C-1027.

Y. Okuno, Y. Sugiura, T. Matsumoto, 1993, Biochemical and biophysical research communications.

INTERACTION OF C-1027 CHROMOPHORE WITH D(DTATAC)2 : A BINDING MODEL BASED ON NMR EXPERIMENTS

Y. Okuno, T. Iwashita, Y. Sugiura, 1996 .

GLIDA: GPCR—ligand database for chemical genomics drug discovery—database and tools update

Satoshi Niijima, Chunlai Feng, Yasushi Okuno, 2007, Nucleic Acids Res..

Chemogenomic approach to comprehensive predictions of ligand-target interactions: A comparative study

Masahiko Nakatsui, Satoshi Niijima, J. B. Brown, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Application of a new probabilistic model for mining implicit associated cancer genes from OMIM and medline.

Hiroshi Mamitsuka, G. Tsujimoto, Y. Okuno, 2007, Cancer Informatics.

Predicting implicit associated cancer genes from OMIM and MEDLINE by a new probabilistic model

Hiroshi Mamitsuka, Shanfeng Zhu, Yasushi Okuno, 2007, BMC Systems Biology.

On computational complexity of graph inference from counting

Y. Okuno, Hiro Ito, S. Fazekas, 2013, Natural Computing.

Hydrophobic interactions at subsite S1′ of human dipeptidyl peptidase IV contribute significantly to the inhibitory effect of tripeptides

Y. Okuno, K. Masuda, Keisuke Ito, 2020, Heliyon.

Application of a New Probabilistic Model for Mining Implicit Associated Cancer Genes from OMIM and Medline

Hiroshi Mamitsuka, G. Tsujimoto, Y. Okuno, 2009 .

0 Unifying Bioinformatics and Chemoinformatics for Drug Design

Y. Okuno, J. B. Brown, 2011 .

A hierarchical mixture of Markov models for finding biologically active metabolic paths using gene expression and protein classes

Hiroshi Mamitsuka, Yasushi Okuno, Hiroshi Mamitsuka, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

Reliable pre-eclampsia pathways based on multiple independent microarray data sets.

Y. Okuno, J. B. Brown, I. Konishi, 2015, Molecular human reproduction.

A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization

Julio E. Peironcely, M. Emmerich, A. Bender, 2010, BMC Bioinformatics.

Unifying Bioinformatics and Chemoinformatics for Drug Design

Yasushi Okuno, J. B. Brown, Y. Okuno, 2011 .

De novo Drug Design – Ye olde Scoring Problem Revisited

Gisbert Schneider, Kimito Funatsu, Yasushi Okuno, 2017, Molecular informatics.

Laplacian Linear Discriminant Analysis Approach to Unsupervised Feature Selection

S. Niijima, Y. Okuno, 2009, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Mice Genetically Deficient in Vasopressin V1a and V1b Receptors Are Resistant to Jet Lag

H. Kori, G. Tsujimoto, Y. Okuno, 2013, Science.

Chemical Genomics Approach for GPCR-Ligand Interaction Prediction and Extraction of Ligand Binding Determinants

Masahiko Nakatsui, Satoshi Niijima, J. B. Brown, 2013, J. Chem. Inf. Model..

Genetic regulation of the RUNX transcription factor family has antitumor effects

Y. Kaneda, Y. Okuno, A. Matsuo, 2017, The Journal of clinical investigation.

Histamine synthesis is required for granule maturation in murine mast cells

R. Thurmond, Y. Okuno, M. Nishibori, 2014, European journal of immunology.

Electroconvulsive seizures activate anorexigenic signals in the ventromedial nuclei of the hypothalamus

Y. Okuno, Soken Tsuchiya, Y. Sugimoto, 2013, Neuropharmacology.

Commonality of Drug-associated Adverse Events Detected by 4 Commonly Used Data Mining Algorithms

Y. Okuno, T. Sakaeda, Kaori Kadoyama, 2014, International journal of medical sciences.

Clinical sequencing using a next‐generation sequencing‐based multiplex gene assay in patients with advanced solid tumors

Y. Okuno, H. Seno, M. Kamada, 2017, Cancer science.

Electroconvulsive seizure-induced changes in gene expression in the mouse hypothalamic paraventricular nucleus

Y. Okuno, Soken Tsuchiya, Y. Sugimoto, 2013, Journal of psychopharmacology.

Constructing a Foundational Platform Driven by Japan’s K Supercomputer for Next‐Generation Drug Design

Y. Okuno, J. B. Brown, M. Nakatsui, 2014, Molecular Informatics.

CompoundProtein Interaction Prediction Within Chemogenomics: Theoretical Concepts, Practical Usage, and Future Directions

Satoshi Niijima, Yasushi Okuno, J B Brown, 2013, Molecular informatics.

The Effect of Conformational Flexibility on Binding Free Energy Estimation between Kinases and Their Inhibitors

Masahiko Nakatsui, Takatsugu Hirokawa, Yasushi Okuno, 2016, J. Chem. Inf. Model..

Brigatinib combined with anti-EGFR antibody overcomes osimertinib resistance in EGFR-mutated non-small-cell lung cancer

Y. Okuno, Shigeo Sato, Ryohei Katayama, 2017, Nature Communications.

[In silico drug discovery based on the integration of bioinformatics and chemoinformatics].

Yasushi Okuno, Y. Okuno, 2008, Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan.

Title Antipsychotics-Associated Serious Adverse Events inChildren : An Analysis of the FAERS Database

Y. Okuno, J. B. Brown, T. Sakaeda, 2019 .

Accurate Prediction of Complex Structure and Affinity for a Flexible Protein Receptor and Its Inhibitor.

Haruki Nakamura, Y. Okuno, N. Kamiya, 2017, Journal of chemical theory and computation.