Dr. Feng ZHU (朱峰)
Dr. Feng ZHU (朱峰)
Professor of College of Pharmaceutical Sciences in Zhejiang University
在 zju.edu.cn 的电子邮件经过验证 - 首页
Mechanisms of drug combinations: interaction and network perspectives
J Jia, F Zhu, X Ma, ZW Cao, YX Li, YZ Chen
Nature reviews Drug discovery 8 (2), 111-128, 2009
Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery
F Zhu, Z Shi, C Qin, L Tao, X Liu, F Xu, L Zhang, Y Song, X Liu, J Zhang, ...
Nucleic acids research 40 (D1), D1128-D1136, 2012
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
Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics
YH Li, CY Yu, XX Li, P Zhang, J Tang, Q Yang, T Fu, X Zhang, X Cui, G Tu, ...
Nucleic acids research 46 (D1), D1121-D1127, 2018
Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting
F Zhu, C Qin, L Tao, X Liu, Z Shi, X Ma, J Jia, Y Tan, C Cui, J Lin, C Tan, ...
Proceedings of the National Academy of Sciences 108 (31), 12943-12948, 2011
Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information
H Yang, C Qin, YH Li, L Tao, J Zhou, CY Yu, F Xu, Z Chen, F Zhu, ...
Nucleic acids research 44 (D1), D1069-D1074, 2016
Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence
HB Rao, F Zhu, GB Yang, ZR Li, YZ Chen
Nucleic acids research 39 (suppl_2), W385-W390, 2011
Therapeutic target database update 2014: a resource for targeted therapeutics
C Qin, C Zhang, F Zhu, F Xu, SY Chen, P Zhang, YH Li, SY Yang, YQ Wei, ...
Nucleic acids research 42 (D1), D1118-D1123, 2014
NOREVA: normalization and evaluation of MS-based metabolomics data
B Li, J Tang, Q Yang, S Li, X Cui, Y Li, Y Chen, W Xue, X Li, F Zhu
Nucleic acids research 45 (W1), W162-W170, 2017
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
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
SVM-prot 2016: A web-server for machine learning prediction of protein functional families from sequence irrespective of similarity
YH Li, JY Xu, L Tao, XF Li, S Li, X Zeng, SY Chen, P Zhang, C Qin, ...
PloS one 11 (8), e0155290, 2016
Performance evaluation and online realization of data-driven normalization methods used in LC/MS based untargeted metabolomics analysis
B Li, J Tang, Q Yang, X Cui, S Li, S Chen, Q Cao, W Xue, N Chen, F Zhu
Scientific reports 6, 38881, 2016
Comparative analysis of machine learning methods in ligand-based virtual screening of large compound libraries
XH Ma, J Jia, F Zhu, Y Xue, ZR Li, YZ Chen
Combinatorial chemistry & high throughput screening 12 (4), 344-357, 2009
Predicting targeted polypharmacology for drug repositioning and multi-target drug discovery
X Liu, F Zhu, X H Ma, Z Shi, S Y Yang, Y Q Wei, Y Z Chen
Current medicinal chemistry 20 (13), 1646-1661, 2013
Assessing the performance of MM/PBSA and MM/GBSA methods. 7. Entropy effects on the performance of end-point binding free energy calculation approaches
H Sun, L Duan, F Chen, H Liu, Z Wang, P Pan, F Zhu, JZH Zhang, T Hou
Physical Chemistry Chemical Physics 20 (21), 14450-14460, 2018
What Contributes to Serotonin–Norepinephrine Reuptake Inhibitors’ Dual-Targeting Mechanism? The Key Role of Transmembrane Domain 6 in Human Serotonin and Norepinephrine …
W Xue, F Yang, P Wang, G Zheng, Y Chen, X Yao, F Zhu
ACS chemical neuroscience 9 (5), 1128-1140, 2018
What are next generation innovative therapeutic targets? Clues from genetic, structural, physicochemical, and systems profiles of successful targets
F Zhu, LY Han, CJ Zheng, B Xie, MT Tammi, SY Yang, YQ Wei, YZ Chen
Journal of Pharmacology and Experimental Therapeutics 330 (1), 304-315, 2009
Identification of the inhibitory mechanism of FDA approved selective serotonin reuptake inhibitors: an insight from molecular dynamics simulation study
W Xue, P Wang, B Li, Y Li, X Xu, F Yang, X Yao, YZ Chen, F Xu, F Zhu
Physical Chemistry Chemical Physics 18 (4), 3260-3271, 2016
Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools
L Tao, P Zhang, C Qin, SY Chen, C Zhang, Z Chen, F Zhu, SY Yang, ...
Advanced drug delivery reviews 86, 83-100, 2015
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