Juan Cui

Department of Biochemistry and Molecular Biology
A110, Davison Life Sciences Building, University of Georgia
120 Green Street
Athens, GA 30602
Phone: 706-542-3930
Fax: 706-542-9751
E-Mail: juancui@csbl.bmb.uga.edu

  

Research Interests:

Computational biology & bioinformatics:

Cancer biomarkers discovery through microarray/Exon array analysis and validation, especially for early detection of gastric and ovarian cancer; Study of alternative splicing mechanism though Exon array analysis

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Education:

•  Ph.D (2007) in Bioinformatics, Department of Computational Science and Department of Pharmacy, National University of Singapore, Singapore

•  B.E. (2002) in Networking Engineering, Northwestern Polytechnical University, China

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Publications:

  • Computational Prediction of Human Proteins That Can Be Secreted into the Bloodstream. J. Cui , Qi Liu, David Puett and Ying Xu. Bioinformatics 2008

  • Advances in exploration of machine learning methods for predicting functional class and interaction of profiles of proteins and peptides irrespective of sequence homology. J. Cui , L.Y. Han, H.H. Lin, Z.Q. Tang, Z.L. Ji, Z.W. Cao, Y.X. Li, and Y.Z. Chen. Curr Bioinformatics 2(2): 95-112 (2007)

  • Derivation of stable microarray cancer-differentiating signatures by feature-selection with consensus scoring of multiple random sampling and evaluation of gene-ranking consistency. Z.Q. Tang, L. Y. Han, H. H. Lin, J. Cui , B. C. Low, B. W. Li, Y. Z. Chen. Cancer Res 67(20):9996-10003 (2007)

  • Prediction of MHC-Binding Peptides of Flexible Lengths from Sequence-Derived Structural and Physicochemical Properties. J. Cui , L.Y. Han, H.H. Lin, H.L. Zhang, Z.Q. Tang, C.J. Zheng, Z.W. Cao, and Y.Z. Chen. Mol. Immunol . 44: 866-877 (2007).

  • Computer Prediction of Allergen Proteins from Sequence-Derived Protein Structural and Physicochemical Properties. J. Cui , L.Y. Han, H.H. Lin, Z.Q. Tang, C.J. Zheng, Z.W. Cao, and Y.Z. Chen. Mol. Immunol. 44(4): 514-520 (2007).

  • MHC-BPS: MHC-Binder Prediction Server for Identifying Peptides of Flexible Lengths from Sequence-Derived Physicochemical Properties. J. Cui , L.Y. Han, H.H. Lin, Z.Q. Tang, C.J. Zheng, Z.W. Cao, and Y.Z. Chen Immunogenetics 58(8): 607-13 (2006)

  • Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity. L.Y. Han, J. Cui , H.H. Lin, Z.L. Ji, Z.W. Cao, Y.S. Li, and Y.Z. Chen Proteomics . Vol.6: 4023-4037 (2006).

  • Information of ADME-associated proteins and potential application for pharmacogenetic prediction of drug responses. C.J. Zheng, L.Y. Han, X. Chen, Z.W. Cao, J. Cui , H.H. Lin, H.L. Zhang, H. Li and Y. Z. Chen. Curr. Pharmacogenomics . 4(2): 87-103 (2006).

  • PharmGED: Pharmacogenetic Effect Database. C.J.Zheng, L.Y.Han, B.Xie, S.Ong, J.Cui , H.L.Zhang, Z.Q.Tang, S.H.Gan, L.Jiang and Y.Z. Chen. Nucleic Acids Res. 00 (Database issue): D1-D6 (2006).

  • Prediction of Functional Class of Novel Bacterial Proteins without the Use of Sequence Similarity by a Statistical Learning Method. J. Cui , L. Y. Han, C. Z. Cai, C.J. Zheng, Z. L. Ji, and Y. Z. Chen. J. Mol. Microbiol. Biotech. 9 (2): 86-100 (2005)

  • Predicting Functional Family of Novel Enzymes Irrespective of Sequence Similarity: A Statistical Learning Approach. L.Y. Han, C.Z. Cai, Z.L. Ji, Z.W. Cao, J. Cui , Y.Z. Chen. Nucleic Acids Res. 32(21): 6437-6444(2004).

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    Links:

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