Honghuang Lin to Quantitative Structure-Activity Relationship
This is a "connection" page, showing publications Honghuang Lin has written about Quantitative Structure-Activity Relationship.
Connection Strength
0.158
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Han LY, Ma XH, Lin HH, Jia J, Zhu F, Xue Y, Li ZR, Cao ZW, Ji ZL, Chen YZ. 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. J Mol Graph Model. 2008 Jun; 26(8):1276-86.
Score: 0.072
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Lin HH, Han LY, Yap CW, Xue Y, Liu XH, Zhu F, Chen YZ. Prediction of factor Xa inhibitors by machine learning methods. J Mol Graph Model. 2007 Sep; 26(2):505-18.
Score: 0.068
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Li H, Yap CW, Ung CY, Xue Y, Li ZR, Han LY, Lin HH, Chen YZ. Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins. J Pharm Sci. 2007 Nov; 96(11):2838-60.
Score: 0.018