Zheng Yuan

Summary

Affiliation: University of Queensland
Country: Australia

Publications

  1. ncbi Prediction of protein solvent accessibility using support vector machines
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Special Centre for Functional and Applied Genomics, The University of Queensland, Brisbane, Australia
    Proteins 48:566-70. 2002
  2. ncbi Predicting the solvent accessibility of transmembrane residues from protein sequence
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, St Lucia, 4072, Australia
    J Proteome Res 5:1063-70. 2006
  3. ncbi Better prediction of protein contact number using a support vector regression analysis of amino acid sequence
    Zheng Yuan
    Institute for Molecular Bioscience, ARC Centre in Bioinformatics, The University of Queensland, St Lucia, 4072, Australia
    BMC Bioinformatics 6:248. 2005
  4. ncbi Prediction of protein B-factor profiles
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, St Lucia, Australia
    Proteins 58:905-12. 2005
  5. ncbi Prediction of protein accessible surface areas by support vector regression
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, University of Queensland, St Lucia, Australia
    Proteins 57:558-64. 2004
  6. ncbi SVMtm: support vector machines to predict transmembrane segments
    Zheng Yuan
    ARC Centre in Bioinformatics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, 4072, Australia
    J Comput Chem 25:632-6. 2004
  7. ncbi Computational differentiation of N-terminal signal peptides and transmembrane helices
    Zheng Yuan
    ARC Centre in Bioinformatics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4066, Australia
    Biochem Biophys Res Commun 312:1278-83. 2003
  8. ncbi Quantifying the relationship of protein burying depth and sequence
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, Brisbane, Australia
    Proteins 70:509-16. 2008
  9. ncbi Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure
    Jiangning Song
    Advanced Computational Modelling Centre, The University of Queensland, Brisbane, QLD 4072, Australia
    Bioinformatics 23:3147-54. 2007
  10. ncbi Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
    Mikael Boden
    School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072, St Lucia, Australia
    BMC Bioinformatics 7:68. 2006

Collaborators

Detail Information

Publications25

  1. ncbi Prediction of protein solvent accessibility using support vector machines
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Special Centre for Functional and Applied Genomics, The University of Queensland, Brisbane, Australia
    Proteins 48:566-70. 2002
    ..In addition, our results further suggest that this system may be combined with other prediction methods to achieve more reliable results, and that the Support Vector Machine method is a very useful tool for biological sequence analysis...
  2. ncbi Predicting the solvent accessibility of transmembrane residues from protein sequence
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, St Lucia, 4072, Australia
    J Proteome Res 5:1063-70. 2006
    ..This approach can be used to annotate the membrane proteins in proteomes to provide extra structural and functional information...
  3. ncbi Better prediction of protein contact number using a support vector regression analysis of amino acid sequence
    Zheng Yuan
    Institute for Molecular Bioscience, ARC Centre in Bioinformatics, The University of Queensland, St Lucia, 4072, Australia
    BMC Bioinformatics 6:248. 2005
    ..In this study, we provide a more accurate contact number prediction method from protein primary sequence...
  4. ncbi Prediction of protein B-factor profiles
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, St Lucia, Australia
    Proteins 58:905-12. 2005
    ..flexible). For almost all predicted B-factor thresholds, prediction accuracies (percent of correctly predicted residues) are greater than 70%. These results exceed the best results of other sequence-based prediction methods...
  5. ncbi Prediction of protein accessible surface areas by support vector regression
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, University of Queensland, St Lucia, Australia
    Proteins 57:558-64. 2004
    ..7 A(2) and median absolute error is 36.31 A(2)). Our work suggests that the SVR approach can be directly applied to the ASA prediction where data preclassification has been used...
  6. ncbi SVMtm: support vector machines to predict transmembrane segments
    Zheng Yuan
    ARC Centre in Bioinformatics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, 4072, Australia
    J Comput Chem 25:632-6. 2004
    ..This method can be used to complement current transmembrane helix prediction methods and can be used for consensus analysis of entire proteomes. The predictor is located at http://genet.imb.uq.edu.au/predictors/SVMtm...
  7. ncbi Computational differentiation of N-terminal signal peptides and transmembrane helices
    Zheng Yuan
    ARC Centre in Bioinformatics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland 4066, Australia
    Biochem Biophys Res Commun 312:1278-83. 2003
    ..85). The method can be used to complement current transmembrane protein prediction and signal peptide prediction methods to improve their prediction accuracies...
  8. ncbi Quantifying the relationship of protein burying depth and sequence
    Zheng Yuan
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, The University of Queensland, Brisbane, Australia
    Proteins 70:509-16. 2008
    ..The methods used to estimate the sequence-depth functions are expected to become more useful in the investigation of protein structures and folding mechanism...
  9. ncbi Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure
    Jiangning Song
    Advanced Computational Modelling Centre, The University of Queensland, Brisbane, QLD 4072, Australia
    Bioinformatics 23:3147-54. 2007
    ..Therefore, there is a great need to develop computational methods capable of accurately predicting disulfide connectivity patterns in proteins that could have potentially important applications...
  10. ncbi Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
    Mikael Boden
    School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072, St Lucia, Australia
    BMC Bioinformatics 7:68. 2006
    ..e. assigning probabilities to the conformational states of a residue. We train our methods using data derived from high-quality NMR models...
  11. ncbi MemO: a consensus approach to the annotation of a protein's membrane organization
    Melissa J Davis
    Institute for Molecular Bioscience and ARC Centre in Bioinformatics, University of Queensland, St. Lucia, 4072, Australia
    In Silico Biol 6:387-99. 2006
    ....
  12. ncbi Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information
    Jiangning Song
    Advanced Computational Modelling Centre, The University of Queensland, Brisbane QLD 4072, Australia
    BMC Bioinformatics 7:124. 2006
    ..Accurate prediction of proline cis/trans isomerization in proteins would have many important applications towards the understanding of protein structure and function...
  13. ncbi Prediction of Golgi Type II membrane proteins based on their transmembrane domains
    Zheng Yuan
    Institute for Molecular Bioscience and Special Research Centre for Functional and Applied Genomics, University of Queensland, St Lucia, 4072, Australia
    Bioinformatics 18:1109-15. 2002
    ..3% or 85.2%, respectively on our redundancy-reduced data sets. AVAILABILITY: See http://microarray.imb.uq.edu.au/golgi/..
  14. ncbi Exploiting structural and topological information to improve prediction of RNA-protein binding sites
    Stefan R Maetschke
    Institute for Molecular Bioscience, University of Queensland, QLD 4072, Australia
    BMC Bioinformatics 10:341. 2009
    ..Particularly, different geometrical and network topological properties of protein structures are evaluated to improve interface residue prediction accuracy...
  15. ncbi tonB3 is required for normal twitching motility and extracellular assembly of type IV pili
    Bixing Huang
    Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia
    J Bacteriol 186:4387-9. 2004
    ..Three mutants with Tn5-B21 insertion in tonB3 (PA0406) of Pseudomonas aeruginosa exhibited defective twitching motility and reduced assembly of extracellular pili. These defects could be complemented with wild-type tonB3...
  16. ncbi The mouse secretome: functional classification of the proteins secreted into the extracellular environment
    Sean M Grimmond
    Institute for Molecular Bioscience and ARC Special Research Centre for Functional and Applied Genomics, University of Queensland, St Lucia 4072, Australia
    Genome Res 13:1350-9. 2003
    ..To highlight the utility of this information, we discuss the CUB domain-containing protein family...
  17. ncbi Determining a maximum-tolerated schedule of a cytotoxic agent
    Thomas M Braun
    Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, USA
    Biometrics 61:335-43. 2005
    ....
  18. ncbi Genome-wide analysis of basic/helix-loop-helix transcription factor family in rice and Arabidopsis
    Xiaoxing Li
    Shanghai Jiao Tong University Shanghai Institutes for Biological Sciences Pennsylvania State University Joint Center for Life Sciences, Shanghai Jiao Tong University, Shanghai, People s Republic of China, 200240
    Plant Physiol 141:1167-84. 2006
    ..In addition, similar expression patterns suggest functional conservation between some rice bHLH genes and their close Arabidopsis homologs...
  19. ncbi Flexibility analysis of enzyme active sites by crystallographic temperature factors
    Zheng Yuan
    National Laboratory of Biomacromolecules, Institute of Biophysics, Academia Sinica, Beijing 100101, China
    Protein Eng 16:109-14. 2003
    ....
  20. ncbi Mouse proteome analysis
    Alexander Kanapin
    EMBL Outstation European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
    Genome Res 13:1335-44. 2003
    ..The analysis of the membrane organization within the transcriptome of multiple eukaryotes provides valuable statistics about the distribution of secretory and transmembrane proteins..
  21. ncbi Combining multiple biomarker models in logistic regression
    Zheng Yuan
    Eli Lilly and Company, Indianapolis, Indiana 46285, USA
    Biometrics 64:431-9. 2008
    ..Simulation studies are performed to assess the finite-sample properties of the proposed model-combining method. It is illustrated with an application to data from an immunohistochemical study in prostate cancer...
  22. ncbi The rice tapetum degeneration retardation gene is required for tapetum degradation and anther development
    Na Li
    Shanghai Jiao Tong University-Shanghai Institutes for Biological Sciences-Pensylvania State University Joint Center for Life Sciences, Shanghai 200240, China
    Plant Cell 18:2999-3014. 2006
    ..These results indicate that TDR is a key component of the molecular network regulating rice tapetum development and degeneration...
  23. ncbi Comparing the small sample performance of several variance estimators under competing risks
    Thomas M Braun
    Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
    Stat Med 26:1170-80. 2007
    ..All but one of the martingale theory-based estimators tend to perform poorly in small samples, tending to either overestimate or underestimate the empirical variance in samples of fewer than 100 subjects...
  24. ncbi Distribution of 19 major virulence genes in Legionella pneumophila serogroup 1 isolates from patients and water in Queensland, Australia
    Bixing Huang
    Public Health Microbiology Laboratory, Queensland Health Scientific Services, Coopers Plains, QLD 4108, Australia
    J Med Microbiol 55:993-7. 2006
    ..It was found that a PCR detection test strategy with lvh and rtxA as pathogenesis markers would be useful for determining the infection potential of an isolate...
  25. ncbi Inhibition of GABA shunt enzymes' activity by 4-hydroxybenzaldehyde derivatives
    Yun-Hai Tao
    Institute of Materia Medica, College of Life Science and Technology, Huazhong University of Science and Technology, 430074 Wuhan, China
    Bioorg Med Chem Lett 16:592-5. 2006
    ..This suggested that the presence of the benzene ring may be accepted by the active site of both enzymes, HBA and HBM may be considered as lead compounds to design novel GABA-T inhibitors...