Lin HH - Search Results

1

Prediction of the functional class of lipid binding proteins from sequence-derived properties irrespective of sequence similarity.

Lin HH, Han LY, Zhang HL, Zheng CJ, Xie B, Chen YZ. Lin HH, et al. J Lipid Res. 2006 Apr;47(4):824-31. doi: 10.1194/jlr.M500530-JLR200. Epub 2006 Jan 27. J Lipid Res. 2006. PMID: 16443826 Free article.

2

MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.

Cui J, Han LY, Lin HH, Tang ZQ, Jiang L, Cao ZW, Chen YZ. Cui J, et al. Among authors: lin hh. Immunogenetics. 2006 Aug;58(8):607-13. doi: 10.1007/s00251-006-0117-2. Epub 2006 Jul 11. Immunogenetics. 2006. PMID: 16832638

3

Support vector machines approach for predicting druggable proteins: recent progress in its exploration and investigation of its usefulness.

Han LY, Zheng CJ, Xie B, Jia J, Ma XH, Zhu F, Lin HH, Chen X, Chen YZ. Han LY, et al. Among authors: lin hh. Drug Discov Today. 2007 Apr;12(7-8):304-13. doi: 10.1016/j.drudis.2007.02.015. Epub 2007 Mar 7. Drug Discov Today. 2007. PMID: 17395090 Review.

4

Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.

Tang ZQ, Lin HH, Zhang HL, Han LY, Chen X, Chen YZ. Tang ZQ, et al. Among authors: lin hh. Bioinform Biol Insights. 2009 Nov 24;1:19-47. doi: 10.4137/bbi.s315. Bioinform Biol Insights. 2009. PMID: 20066123 Free PMC article.

5

Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity.

Han L, Cui J, Lin H, Ji Z, Cao Z, Li Y, Chen Y. Han L, et al. Proteomics. 2006 Jul;6(14):4023-37. doi: 10.1002/pmic.200500938. Proteomics. 2006. PMID: 16791826 Review.

6

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

Han LY, Zheng CJ, Lin HH, Cui J, Li H, Zhang HL, Tang ZQ, Chen YZ. Han LY, et al. Among authors: lin hh. New Phytol. 2005 Oct;168(1):109-21. doi: 10.1111/j.1469-8137.2005.01482.x. New Phytol. 2005. PMID: 16159326 Free article.

7

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

Lin HH, Han LY, Cai CZ, Ji ZL, Chen YZ. Lin HH, et al. Proteins. 2006 Jan 1;62(1):218-31. doi: 10.1002/prot.20605. Proteins. 2006. PMID: 16287089

8

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

Cui J, Han LY, Lin HH, Zhang HL, Tang ZQ, Zheng CJ, Cao ZW, Chen YZ. Cui J, et al. Among authors: lin hh. Mol Immunol. 2007 Feb;44(5):866-77. doi: 10.1016/j.molimm.2006.04.001. Epub 2006 Jun 27. Mol Immunol. 2007. PMID: 16806474

9

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

Li ZR, Lin HH, Han LY, Jiang L, Chen X, Chen YZ. Li ZR, et al. Among authors: lin hh. Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W32-7. doi: 10.1093/nar/gkl305. Nucleic Acids Res. 2006. PMID: 16845018 Free PMC article.

10

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

Lin HH, Han LY, Zhang HL, Zheng CJ, Xie B, Cao ZW, Chen YZ. Lin HH, et al. BMC Bioinformatics. 2006 Dec 18;7 Suppl 5(Suppl 5):S13. doi: 10.1186/1471-2105-7-S5-S13. BMC Bioinformatics. 2006. PMID: 17254297 Free PMC article.

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