Lin HH - Search Results

1

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

Li H, Yap CW, Ung CY, Xue Y, Li ZR, Han LY, Lin HH, Chen YZ. Li H, et al. Among authors: lin hh. J Pharm Sci. 2007 Nov;96(11):2838-60. doi: 10.1002/jps.20985. J Pharm Sci. 2007. PMID: 17786989 Review.

2

Prediction of factor Xa inhibitors by machine learning methods.

Lin HH, Han LY, Yap CW, Xue Y, Liu XH, Zhu F, Chen YZ. Lin HH, et al. J Mol Graph Model. 2007 Sep;26(2):505-18. doi: 10.1016/j.jmgm.2007.03.003. Epub 2007 Mar 12. J Mol Graph Model. 2007. PMID: 17418603

3

A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factor.

Han LY, Ma XH, Lin HH, Jia J, Zhu F, Xue Y, Li ZR, Cao ZW, Ji ZL, Chen YZ. Han LY, et al. Among authors: lin hh. J Mol Graph Model. 2008 Jun;26(8):1276-86. doi: 10.1016/j.jmgm.2007.12.002. Epub 2007 Dec 15. J Mol Graph Model. 2008. PMID: 18218332

4

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.

5

Efficacy of different protein descriptors in predicting protein functional families.

Ong SA, Lin HH, Chen YZ, Li ZR, Cao Z. Ong SA, et al. Among authors: lin hh. BMC Bioinformatics. 2007 Aug 17;8:300. doi: 10.1186/1471-2105-8-300. BMC Bioinformatics. 2007. PMID: 17705863 Free PMC article.

6

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.

7

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.

8

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

9

PEARLS: program for energetic analysis of receptor-ligand system.

Han LY, Lin HH, Li ZR, Zheng CJ, Cao ZW, Xie B, Chen YZ. Han LY, et al. Among authors: lin hh. J Chem Inf Model. 2006 Jan-Feb;46(1):445-50. doi: 10.1021/ci0502146. J Chem Inf Model. 2006. PMID: 16426079

10

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.

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