Yasushi Okuno
Orcid: 0000-0003-3596-4208
According to our database1,
Yasushi Okuno
authored at least 54 papers
between 2002 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.
J. Chem. Inf. Model., December, 2023
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network.
BMC Bioinform., December, 2023
Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.
J. Chem. Inf. Model., August, 2023
Individual health-disease phase diagrams for disease prevention based on machine learning.
J. Biomed. Informatics, August, 2023
A New Deep State-Space Analysis Framework for Patient Latent State Estimation and Classification from EHR Time Series Data.
CoRR, 2023
An end-to-end framework for gene expression classification by integrating a background knowledge graph: application to cancer prognosis prediction.
CoRR, 2023
An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational Pathway.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.
J. Chem. Inf. Model., 2022
J. Chem. Inf. Model., 2022
Protein-ligand binding affinity prediction of cyclin-dependent kinase-2 inhibitors by dynamically averaged fragment molecular orbital-based interaction energy.
J. Comput. Chem., 2022
Using incomplete Cholesky factorization to increase the time step in molecular dynamics simulations.
J. Comput. Appl. Math., 2022
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network.
CoRR, 2022
Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022
2021
Nat. Mach. Intell., 2021
eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping.
Nucleic Acids Res., 2021
Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations.
J. Chem. Inf. Model., 2021
Accurate Binding Configuration Prediction of a G-Protein-Coupled Receptor to Its Antagonist Using Multicanonical Molecular Dynamics-Based Dynamic Docking.
J. Chem. Inf. Model., 2021
Prediction and visualization of acute kidney injury in intensive care unit using one-dimensional convolutional neural networks based on routinely collected data.
Comput. Methods Programs Biomed., 2021
2020
Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns.
J. Chem. Inf. Model., 2020
High-Precision Atomic Charge Prediction for Protein Systems Using Fragment Molecular Orbital Calculation and Machine Learning.
J. Chem. Inf. Model., 2020
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.
J. Cheminformatics, 2020
J. Cheminformatics, 2020
Exhaustive search of the configurational space of heat-shock protein 90 with its inhibitor by multicanonical molecular dynamics based dynamic docking.
J. Comput. Chem., 2020
Classification of glomerular pathological findings using deep learning and nephrologist-AI collective intelligence approach.
Int. J. Medical Informatics, 2020
Int. J. Medical Informatics, 2020
Health improvement framework for planning actionable treatment process using surrogate Bayesian model.
CoRR, 2020
2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks.
J. Chem. Inf. Model., 2019
J. Comput. Chem., 2019
Med2RDF: Semantic Biomedical Knowledge-base and APIs for the Clinical Genome Medicine.
Proceedings of the 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2019
2018
Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach.
J. Comput. Chem., 2018
Machine learning accelerates MD-based binding pose prediction between ligands and proteins.
Bioinform., 2018
2017
Proceedings of the 10th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4LS 2017), 2017
2016
The Effect of Conformational Flexibility on Binding Free Energy Estimation between Kinases and Their Inhibitors.
J. Chem. Inf. Model., 2016
2014
J. Comput. Aided Mol. Des., 2014
2013
Chemical Genomics Approach for GPCR-Ligand Interaction Prediction and Extraction of Ligand Binding Determinants.
J. Chem. Inf. Model., 2013
2012
Dissecting Kinase Profiling Data to Predict Activity and Understand Cross-Reactivity of Kinase Inhibitors.
J. Chem. Inf. Model., 2012
Chemogenomic approach to comprehensive predictions of ligand-target interactions: A comparative study.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
2011
Cross-Target View to Feature Selection: Identification of Molecular Interaction Features in Ligand-Target Space.
J. Chem. Inf. Model., 2011
2010
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization.
BMC Bioinform., 2010
2009
IEEE ACM Trans. Comput. Biol. Bioinform., 2009
Substructure Mining of GPCR Ligands Reveals Activity-Class Specific Functional Groups in an Unbiased Manner.
J. Chem. Inf. Model., 2009
2008
GLIDA: GPCR - ligand database for chemical genomics drug discovery - database and tools update.
Nucleic Acids Res., 2008
2007
Predicting implicit associated cancer genes from OMIM and MEDLINE by a new probabilistic model.
BMC Syst. Biol., 2007
2006
Nucleic Acids Res., 2006
2005
A probabilistic model for mining implicit 'chemical compound-gene' relations from literature.
Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005
2004
A Hierarchical Mixture of Markov Models for Finding Biologically Active Metabolic Paths Using Gene Expression and Protein Classes.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004
2003
Mining biologically active patterns in metabolic pathways using microarray expression profiles.
SIGKDD Explor., 2003
2002
Nucleic Acids Res., 2002