Bo-Han Su

发表

In Silico Binary Classification QSAR Models Based on 4D-Fingerprints and MOE Descriptors for Prediction of hERG Blockage

Bo-Han Su, Meng-yu Shen, Emilio Xavier Esposito, 2010, J. Chem. Inf. Model..

Rule-Based Prediction Models of Cytochrome P450 Inhibition

Bo-Han Su, Yufeng J. Tseng, Yi-shu Tu, 2015, J. Chem. Inf. Model..

REMUS: a tool for identification of unique peptide segments as epitopes

Tun-Wen Pai, Bo-Han Su, Wen-Shyong Tzou, 2006, Nucleic Acids Res..

PanGPCR: predictions for multiple targets, repurposing and side effects

Bo-Han Su, Yufeng J Tseng, Lu-Chi Liu, 2020, Bioinform..

Rule-Based Classification Models of Molecular Autofluorescence

Bo-Han Su, Meng-yu Shen, Yufeng J. Tseng, 2015, J. Chem. Inf. Model..

An efficient computer-aided structural elucidation strategy for mixtures using an iterative dynamic programming algorithm

Bo-Han Su, Meng-yu Shen, Yufeng J. Tseng, 2017, Journal of Cheminformatics.

Unique Peptide Identification of Rnasea Superfamily Sequences Based on Reinforced Merging Algorithms

Tun-Wen Pai, Bo-Han Su, Margaret Dah-Tsyr Chang, 2006, J. Bioinform. Comput. Biol..

Human Breathomics Database

Bo-Han Su, Tien-Chueh Kuo, Jessica Lin, 2020, Database J. Biol. Databases Curation.

A reinforced merging methodology for mapping unique peptide motifs in members of protein families

Chuan Yi Tang, Tun-Wen Pai, Bo-Han Su, 2006, BMC Bioinformatics.

Predictive Toxicology Modeling: Protocols for Exploring hERG Classification and Tetrahymena pyriformis End Point Predictions

Bo-Han Su, Emilio Xavier Esposito, Yufeng J. Tseng, 2012, J. Chem. Inf. Model..

G.A.M.E.: GPU-accelerated mixture elucidator

Bo-Han Su, Yufeng J. Tseng, Olivia A. Lin, 2017, Journal of Cheminformatics.

Current development of integrated web servers for preclinical safety and pharmacokinetics assessments in drug development

Bo-Han Su, Yufeng J Tseng, Yi Hsiao, 2020, Briefings Bioinform..

CypRules: a rule-based P450 inhibition prediction server

Bo-Han Su, Yufeng J. Tseng, Yi-shu Tu, 2015, Bioinform..

Unique peptide prediction of RNase family sequences based on reinforced merging algorithms

Tun-Wen Pai, Bo-Han Su, Margaret Dah-Tsyr Chang, 2005, APBC.

Dependence of QSAR Models on the Selection of Trial Descriptor Sets: A Demonstration Using Nanotoxicity Endpoints of Decorated Nanotubes

Bo-Han Su, Emilio Xavier Esposito, Anton J. Hopfinger, 2013, J. Chem. Inf. Model..

A comprehensive support vector machine binary hERG classification model based on extensive but biased end point hERG data sets.

Bo-Han Su, Emilio Xavier Esposito, Yufeng J Tseng, 2011, Chemical research in toxicology.

Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: interpretation of physicochemical properties from optimal QSAR models.

Bo-Han Su, Emilio Xavier Esposito, Anton J Hopfinger, 2015, Toxicology and applied pharmacology.