Tomoyuki Miyao

Orcid: 0000-0002-8769-2702

According to our database1, Tomoyuki Miyao authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Scaffold-Hopped Compound Identification by Ligand-Based Approaches with a Prospective Affinity Test.
J. Chem. Inf. Model., 2024

2023
Large-scale prediction of activity cliffs using machine and deep learning methods of increasing complexity.
J. Cheminformatics, 2023

NuclSeg: nuclei segmentation using semi-supervised stain deconvolution.
Proceedings of the ACM Multimedia Asia 2023, 2023

2022
Ligand-based approaches to activity prediction for the early stage of structure-activity-relationship progression.
J. Comput. Aided Mol. Des., 2022

2021
Sparse Topological Pharmacophore Graphs for Interpretable Scaffold Hopping.
J. Chem. Inf. Model., 2021

Comparing predictive ability of QSAR/QSPR models using 2D and 3D molecular representations.
J. Comput. Aided Mol. Des., 2021

2020
Exploring Topological Pharmacophore Graphs for Scaffold Hopping.
J. Chem. Inf. Model., 2020

2019
Development of R-Group Fingerprints Based on the Local Landscape from an Attachment Point of a Molecular Structure.
J. Chem. Inf. Model., 2019

Three-Dimensional Activity Landscape Models of Different Design and Their Application to Compound Mapping and Potency Prediction.
J. Chem. Inf. Model., 2019

Exploring Alternative Strategies for the Identification of Potent Compounds Using Support Vector Machine and Regression Modeling.
J. Chem. Inf. Model., 2019

Iterative Screening Methods for Identification of Chemical Compounds with Specific Values of Various Properties.
J. Chem. Inf. Model., 2019

Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships.
J. Comput. Aided Mol. Des., 2019

2018
Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching.
J. Comput. Aided Mol. Des., 2018

2017
Exploring differential evolution for inverse QSAR analysis.
F1000Research, 2017

2016
Inverse QSPR/QSAR Analysis for Chemical Structure Generation (from <i>y</i> to x).
J. Chem. Inf. Model., 2016

Ring system-based chemical graph generation for de novo molecular design.
J. Comput. Aided Mol. Des., 2016


  Loading...