Bo-Han Su

According to our database1, Bo-Han Su authored at least 18 papers between 2005 and 2022.

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Bibliography

2022
Ensemble modeling with machine learning and deep learning to provide interpretable generalized rules for classifying CNS drugs with high prediction power.
Briefings Bioinform., 2022

Comparative studies of AlphaFold, RoseTTAFold and Modeller: a case study involving the use of G-protein-coupled receptors.
Briefings Bioinform., 2022

2021
PanGPCR: predictions for multiple targets, repurposing and side effects.
Bioinform., 2021

Current development of integrated web servers for preclinical safety and pharmacokinetics assessments in drug development.
Briefings Bioinform., 2021

2020
Human Breathomics Database.
Database J. Biol. Databases Curation, 2020

2017
NP-StructurePredictor: Prediction of Unknown Natural Products in Plant Mixtures.
J. Chem. Inf. Model., December, 2017

An efficient computer-aided structural elucidation strategy for mixtures using an iterative dynamic programming algorithm.
J. Cheminformatics, 2017

G.A.M.E.: GPU-accelerated mixture elucidator.
J. Cheminformatics, 2017

2015
Rule-Based Prediction Models of Cytochrome P450 Inhibition.
J. Chem. Inf. Model., 2015

Rule-Based Classification Models of Molecular Autofluorescence.
J. Chem. Inf. Model., 2015

CypRules: a rule-based P450 inhibition prediction server.
Bioinform., 2015

2013
Dependence of QSAR Models on the Selection of Trial Descriptor Sets: A Demonstration Using Nanotoxicity Endpoints of Decorated Nanotubes.
J. Chem. Inf. Model., 2013

2012
Predictive Toxicology Modeling: Protocols for Exploring hERG Classification and <i>Tetrahymena pyriformis</i> End Point Predictions.
J. Chem. Inf. Model., 2012

2010
In Silico Binary Classification QSAR Models Based on 4D-Fingerprints and MOE Descriptors for Prediction of hERG Blockage.
J. Chem. Inf. Model., 2010

2006
R<sub>E</sub>MUS: a tool for identification of unique peptide segments as epitopes.
Nucleic Acids Res., 2006

Unique Peptide Identification of Rnasea Superfamily Sequences Based on Reinforced Merging Algorithms.
J. Bioinform. Comput. Biol., 2006

A reinforced merging methodology for mapping unique peptide motifs in members of protein families.
BMC Bioinform., 2006

2005
Unique peptide prediction of RNase family sequences based on reinforced merging algorithms.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005


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