Li Yang

发表

Predicting liquid chromatographic retention times of peptides from the Drosophila melanogaster proteome by machine learning approaches.

F. Tian, Li Yang, F. Lv, 2009, Analytica chimica acta.

Structure-based prediction of protein–protein binding affinity with consideration of allosteric effect

F. Tian, Li Yang, Y. Lv, 2011, Amino Acids.

ST-scale as a novel amino acid descriptor and its application in QSAM of peptides and analogues

M. Shu, H. Mei, Li Yang, 2010, Amino Acids.

Modeling and prediction of retention behavior of histidine-containing peptides in immobilized metal-affinity chromatography.

F. Tian, Li Yang, F. Lv, 2009, Journal of separation science.

Why OppA protein can bind sequence-independent peptides? A combination of QM/MM, PB/SA, and structure-based QSAR analyses

F. Tian, Li Yang, F. Lv, 2011, Amino Acids.

Prediction and characterization of P-glycoprotein substrates potentially bound to different sites by emerging chemical pattern and hierarchical cluster analysis.

H. Mei, Li Yang, Xianchao Pan, 2016, International journal of pharmaceutics.

The VHSE-Based Prediction of Proteasomal Cleavage Sites

H. Mei, Shangbo Zhou, Li Yang, 2013, PloS one.

Generalized Correlative Index, A New Adaptable Molecular Characterization Method and Its Application in Predicting Collision Cross Sections of Singly Protonated Peptides

F. Tian, Li Yang, F. Lv, 2009 .

Emerging chemical patterns applied to prediction of P-glycoprotein inhibitors

H. Mei, Li Yang, Xianchao Pan, 2014 .

Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis

Jun Yu Li, Guixue Wang, M. Shu, 2008, Science in China. Series B, Chemistry.

Combinations of fragment descriptors for improved prediction of CYP2C19 inhibitors

H. Mei, Li Yang, Xianchao Pan, 2014 .

Statistical prediction of the bioactivity of amoebapores peptide and its analogs

F. Tian, Li Yang, F. Lv, 2011, 2011 International Conference on Remote Sensing, Environment and Transportation Engineering.

An improved large-scale prediction model of CYP1A2 inhibitors by using combined fragment descriptors

H. Mei, Li Yang, Xianchao Pan, 2015 .

Structure-based prediction of protein–protein binding affinity with consideration of allosteric effect

F. Tian, Li Yang, Y. Lv, 2012, Amino Acids.

Fast and reliable prediction of domain-peptide binding affinity using coarse-grained structure models

Peng Zhou, Rui Tan, Feifei Tian, 2013, Biosyst..

A set of new amino acid descriptors applied in prediction of MHC class I binding peptides.

Hu Mei, Mao Shu, Zhiliang Li, 2009, European journal of medicinal chemistry.

Use of support vector machine to predict the toxicity of aromatic compounds

Guixue Wang, Feifei Tian, Yonggang Lv, 2011, 2011 International Conference on Remote Sensing, Environment and Transportation Engineering.

Characterization of PDZ domain–peptide interactions using an integrated protocol of QM/MM, PB/SA, and CFEA analyses

Peng Zhou, Feifei Tian, Yonggang Lv, 2011, J. Comput. Aided Mol. Des..

A New Combination Strategy as Applied in Predicting Chromatographic Retention Times of Oligonucleotides at a Range of Temperatures from 30 °C to 80 °C

Li Yang, F. Lv, G. Liang, 2011 .

A new quantitative structure-retention relationship model for predicting chromatographic retention time of oligonucleotides

Li Yang, G. Liang, Yu-Zhen Chen, 2011 .

In silico quantitative prediction of peptides binding affinity to human MHC molecule: an intuitive quantitative structure–activity relationship approach

F. Tian, Li Yang, F. Lv, 2009, Amino Acids.

Application of 'HESH' descriptors for the structure-activity relationships of antimicrobial peptides.

Hu Mei, Mao Shu, Zhiliang Li, 2009, Protein and peptide letters.