Full Name
Chen Yu Zong
(not current staff)
Variants
Chen, Y.-Z.
Chen Y.Z.
Chen Y.
Chen, Yu Zong
ZONG, CHEN YU
Yuzong, C.
Yu, Z.C.
Chen, Y.Z.
Chen, Y.Z
Chen, Y.U.-Z.
 
Main Affiliation
 
Faculty
 
Email
phacyz@nus.edu.sg
 

Results 61-80 of 189 (Search time: 0.006 seconds).

Issue DateTitleAuthor(s)
61May-2011Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound librariesKumar, P.; Ma, X. ; Liu, X.; Jia, J.; Bucong, H.; Xue, Y.; Li, Z.R.; Yang, S.Y.; Wei, Y.Q.; Chen, Y.Z. 
62Mar-2005Effect of training datasets on support vector machine prediction of protein-protein interactionsLo, S.L. ; Cai, C.Z.; Chen, Y.Z. ; Chung, M.C.M.
6317-Aug-2007Efficacy of different protein descriptors in predicting protein functional familiesOng, S.A.K.; Lin, H.H.; Chen, Y.Z. ; Li, Z.R.; Cao, Z.
641-Apr-2004Enzyme Family Classification by Support Vector MachinesCai, C.Z. ; Han, L.Y. ; Ji, Z.L. ; Chen, Y.Z. 
65Jun-2008Evaluation of virtual screening performance of support vector machines trained by sparsely distributed active compoundsMa, X.H. ; Wang, R.; Yang, S.Y.; Li, Z.R.; Xue, Y.; Wei, Y.C.; Low, B.C. ; Chen, Y.Z. 
66Apr-2011Exploration of (S)-3-aminopyrrolidine as a potentially interesting scaffold for discovery of novel Abl and PI3K dual inhibitorsZhang, C.; Tan, C.; Zu, X.; Zhai, X.; Liu, F.; Chu, B.; Ma, X. ; Chen, Y. ; Gong, P.; Jiang, Y.
71-Feb-2013Exploration of 1-(3-chloro-4-(4-oxo-4H-chromen-2-yl)phenyl)-3-phenylurea derivatives as selective dual inhibitors of Raf1 and JNK1 kinases for anti-tumor treatmentJin, F.; Gao, D.; Zhang, C.; Liu, F.; Chu, B.; Chen, Y. ; Chen, Y.Z. ; Tan, C.; Jiang, Y.
815-Sep-2013Exploration of N-(2-aminoethyl)piperidine-4-carboxamide as a potential scaffold for development of VEGFR-2, ERK-2 and Abl-1 multikinase inhibitorJin, F.; Gao, D.; Wu, Q.; Liu, F.; Chen, Y. ; Tan, C.; Jiang, Y.
91-Feb-2020Expression signature of six-snoRNA serves as novel non-invasive biomarker for diagnosis and prognosis prediction of renal clear cell carcinomaZhao, Y.; Yan, Y.; Ma, R.; Lv, X.; Zhang, L.; Wang, J.; Zhu, W.; Zhao, L.; Jiang, L.; Zhao, L.; Wen, L.; Yang, B.; Chen, Y. ; He,M.; Liu, M.; Wei, M.
1031-Jul-2007Formulation development of transdermal dosage forms: Quantitative structure-activity relationship model for predicting activities of terpenes that enhance drug penetration through human skinKang, L. ; Yap, C.W. ; Lim, P.F.C. ; Chen, Y.Z. ; Ho, P.C. ; Chan, Y.W.; Wong, G.P.; Chan, S.Y. 
11May-2007Functional annotation of ORFs in viral genomes from primary sequence by support vector machine approachLiang, L.; Han, L.-Y. ; Cai, C. ; Huang, W.; Chen, Y. ; Ji, Z.
12Jan-2011HIT: Linking herbal active ingredients to targetsYe, H.; Ye, L.; Kang, H.; Zhang, D.; Tao, L.; Tang, K.; Liu, X.; Zhu, R.; Liu, Q.; Chen, Y.Z. ; Li, Y.; Cao, Z.
132008Homology-free prediction of functional class of proteins and peptides by support vector machinesZhu, F. ; Han, L.Y. ; Chen, X.; Lin, H.H.; Ong, S.; Xie, B.; Zhang, H.L.; Chen, Y.Z. 
142001Hydrogen-bond disruption probability in proteins by a modified self-consistent harmonic approachCao, Z.W. ; Chen, Y.Z. 
15Mar-2010Identification of small molecule aggregators from large compound libraries by support vector machinesRao, H.; Li, Z.; Li, X.; Ma, X. ; Ung, C. ; Li, H. ; Liu, X.; Chen, Y. 
162019Identification of the gene signature reflecting schizophrenia’s etiology by constructing artificial intelligence-based method of enhanced reproducibilityYang, Q.-X.; Wang, Y.-X.; Li, F.-C.; Zhang, S.; Luo, Y.-C.; Li, Y.; Tang, J.; Li, B.; Chen, Y.-Z. ; Xue, W.-W.; Zhu, F.
1717-May-2010Identifying novel type ZBGs and nonhydroxamate HDAC inhibitors through a SVM based virtual screening approachLiu, X.H.; Song, H.Y.; Zhang, J.X.; Han, B.C.; Wei, X.N.; Ma, X.H. ; Cui, W.K.; Chen, Y.Z. 
1830-Apr-2010In silico prediction and screening of γ-secretase inhibitors by molecular descriptors and machine learning methodsYang, X.-G.; Wei, L.V.; Chen, Y.U.-Z. ; Ying, X.U.E.
192012In silico prediction of adverse drug reactions and toxicities based on structural, biological and clinical dataLiu, X.; Shi, Z.; Xue, Y.; Li, Z.R.; Yang, S.Y.; Wei, Y.Q.; Chen, Y.Z. 
202007In silico prediction of pregnane X receptor activators by machine learning approachesUng, C.Y. ; Li, H. ; Yap, C.W. ; Chen, Y.Z.