| PubChem substance and compound databases S Kim, PA Thiessen, EE Bolton, J Chen, G Fu, A Gindulyte, L Han, J He, ... Nucleic acids research 44 (D1), D1202-D1213, 2016 | 4990 | 2016 |
| CDD/SPARCLE: functional classification of proteins via subfamily domain architectures A Marchler-Bauer, Y Bo, L Han, J He, CJ Lanczycki, S Lu, F Chitsaz, ... Nucleic acids research 45 (D1), D200-D203, 2017 | 2689 | 2017 |
| The NCBI biosystems database LY Geer, A Marchler-Bauer, RC Geer, L Han, J He, S He, C Liu, W Shi, ... Nucleic acids research 38 (suppl_1), D492-D496, 2010 | 1026 | 2010 |
| SVM-Prot: web-based support vector machine software for functional classification of a protein from its primary sequence CZ Cai, LY Han, ZL Ji, X Chen, YZ Chen Nucleic acids research 31 (13), 3692-3697, 2003 | 753 | 2003 |
| PubChem's BioAssay database Y Wang, J Xiao, TO Suzek, J Zhang, J Wang, Z Zhou, L Han, ... Nucleic acids research 40 (D1), D400-D412, 2012 | 660 | 2012 |
| PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence ZR Li, HH Lin, LY Han, L Jiang, X Chen, YZ Chen Nucleic acids research 34 (suppl_2), W32-W37, 2006 | 384 | 2006 |
| Update of TTD: therapeutic target database F Zhu, BC Han, P Kumar, XH Liu, XH Ma, XN Wei, L Huang, YF Guo, ... Nucleic acids research 38 (suppl_1), D787-D791, 2010 | 323 | 2010 |
| Enzyme family classification by support vector machines CZ Cai, LY Han, ZL Ji, YZ Chen Proteins: Structure, Function, and Bioinformatics 55 (1), 66-76, 2004 | 240 | 2004 |
| Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validation X Chen, H Zhou, YB Liu, JF Wang, H Li, CY Ung, LY Han, ZW Cao, ... British journal of pharmacology 149 (8), 1092-1103, 2006 | 225 | 2006 |
| Therapeutic targets: progress of their exploration and investigation of their characteristics CJ Zheng, LY Han, CW Yap, ZL Ji, ZW Cao, YZ Chen Pharmacological reviews 58 (2), 259-279, 2006 | 224 | 2006 |
| Synergistic therapeutic actions of herbal ingredients and their mechanisms from molecular interaction and network perspectives XH Ma, CJ Zheng, LY Han, B Xie, J Jia, ZW Cao, YX Li, YZ Chen Drug discovery today 14 (11-12), 579-588, 2009 | 199 | 2009 |
| PubChem3D: a new resource for scientists EE Bolton, J Chen, S Kim, L Han, S He, W Shi, V Simonyan, Y Sun, ... Journal of cheminformatics 3, 1-15, 2011 | 189 | 2011 |
| Prediction of RNA-binding proteins from primary sequence by a support vector machine approach LY Han, CZ Cai, SL Lo, MCM Chung, YZ Chen Rna 10 (3), 355-368, 2004 | 160 | 2004 |
| Developing and validating predictive decision tree models from mining chemical structural fingerprints and high–throughput screening data in PubChem L Han, Y Wang, SH Bryant BMC bioinformatics 9, 1-8, 2008 | 130 | 2008 |
| Predicting functional family of novel enzymes irrespective of sequence similarity: a statistical learning approach LY Han, CZ Cai, ZL Ji, ZW Cao, J Cui, YZ Chen Nucleic acids research 32 (21), 6437-6444, 2004 | 120 | 2004 |
| 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 LY Han, XH Ma, HH Lin, J Jia, F Zhu, Y Xue, ZR Li, ZW Cao, ZL Ji, ... Journal of Molecular Graphics and Modelling 26 (8), 1276-1286, 2008 | 106 | 2008 |
| Support vector machines approach for predicting druggable proteins: recent progress in its exploration and investigation of its usefulness LY Han, CJ Zheng, B Xie, J Jia, XH Ma, F Zhu, HH Lin, X Chen, YZ Chen Drug discovery today 12 (7-8), 304-313, 2007 | 99 | 2007 |
| Recent progresses in the application of machine learning approach for predicting protein functional class independent of sequence similarity L Han, J Cui, H Lin, Z Ji, Z Cao, Y Li, Y Chen Proteomics 6 (14), 4023-4037, 2006 | 93 | 2006 |
| Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical properties J Cui, LY Han, H Li, CY Ung, ZQ Tang, CJ Zheng, ZW Cao, YZ Chen Molecular immunology 44 (4), 514-520, 2007 | 92 | 2007 |
| Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins H Li, CW Yap, CY Ung, Y Xue, ZR Li, LY Han, HH Lin, YZ Chen Journal of pharmaceutical sciences 96 (11), 2838-2860, 2007 | 91 | 2007 |
Yu Zong ChenProfessor Department of Pharmacy National University of Singaporeبريد إلكتروني تم التحقق منه على nus.edu.sg
