L. Han

发表

PEARLS: Program for Energetic Analysis of Receptor-Ligand System

Z. R. Li, L. Y. Han, C. J. Zheng, 2006, J. Chem. Inf. Model..

Synergistic therapeutic actions of herbal ingredients and their mechanisms from molecular interaction and network perspectives.

B Xie, Y Z Chen, Y. Z. Chen, 2009, Drug discovery today.

Therapeutic Targets: Progress of Their Exploration and Investigation of Their Characteristics

Y. Z. Chen, Z. Cao, Yu Zong Chen, 2006, Pharmacological Reviews.

Trends in exploration of therapeutic targets.

Y. Z. Chen, C. Yap, C. Zheng, 2005, Drug news & perspectives.

PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence

L. Jiang, X. Chen, Ze-Rong Li, 2006, Nucleic Acids Res..

KDBI: Kinetic Data of Bio-molecular Interactions database

Yu Zong Chen, Zhi Liang Ji, L. Y. Han, 2003, Nucleic Acids Res..

Prediction of the functional class of lipid binding proteins from sequence-derived properties irrespective of sequence similarity Published, JLR Papers in Press, January 27, 2006.

Y. Z. Chen, Yu Zong Chen, L. Y. Han, 2006, Journal of Lipid Research.

Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins.

Z R Li, Z. R. Li, C W Yap, 2007, Journal of pharmaceutical sciences.

PharmGED: Pharmacogenetic Effect Database

Yu Zong Chen, C. Zheng, J. Cui, 2006, Nucleic Acids Res..

Drug ADME‐associated protein database as a resource for facilitating pharmacogenomics research

C. J. Zheng, Yu Zong Chen, Z. Ji, 2004 .

PharmGED: pharmacogenetic effect database.

H. L. Zhang, C. J. Zheng, Y. Z. Chen, 2007, Clinical pharmacology and therapeutics.

Prediction of transporter family from protein sequence by support vector machine approach

Y. Z. Chen, C. Cai, Z. Ji, 2005, Proteins.

Prediction of functional class of novel plant proteins by a statistical learning method.

C. J. Zheng, Y. Z. Chen, Yu Zong Chen, 2005, The New phytologist.

Prediction of Functional Class of Novel Bacterial Proteins without the Use of Sequence Similarity by a Statistical Learning Method

C. J. Zheng, Y.Z. Chen, Yu Zong Chen, 2005, Journal of Molecular Microbiology and Biotechnology.

Traditional Chinese medicine information database.

Y Z Chen, Y. Z. Chen, Z. Cao, 2005, Clinical pharmacology and therapeutics.

Prediction of Transmembrane Proteins from Their Primary Sequence by Support Vector Machine Approach

X. H. Liu, Yu Zong Chen, C. Z. Cai, 2006, ICIC.

Prediction of functional class of the SARS coronavirus proteins by a statistical learning method.

Y. Z. Chen, Z. Cao, C. Cai, 2005, Journal of proteome research.

Prediction of compounds with specific pharmacodynamic, pharmacokinetic or toxicological property by statistical learning methods.

Z R Li, Z. R. Li, C W Yap, 2006, Mini reviews in medicinal chemistry.

Prediction of MHC-binding peptides of flexible lengths from sequence-derived structural and physicochemical properties.

Y. Z. Chen, Z. Cao, Yu Zong Chen, 2007, Molecular immunology.

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach

Lianyi Han, Yu Zong Chen, Honghuang Lin, 2006, BMC Bioinformatics.