|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, 2017
|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
|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
|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
|The Human Kinome Targeted by FDA Approved Multi-Target Drugs and Combination Products: A Comparative Study from the Drug-Target Interaction Network Perspective|
YH Li, PP Wang, XX Li, CY Yu, H Yang, J Zhou, WW Xue, J Tan, F Zhu
PloS one 11 (11), e0165737, 2016
|Clinical success of drug targets prospectively predicted by in silico study|
F Zhu, XX Li, SY Yang, YZ Chen
Trends in pharmacological sciences 39 (3), 229-231, 2018
|Comparison of FDA approved kinase targets to clinical trial ones: insights from their system profiles and drug-target interaction networks|
J Xu, P Wang, H Yang, J Zhou, Y Li, X Li, W Xue, C Yu, Y Tian, F Zhu
BioMed Research International 2016, 2016
|Computational identification of the binding mechanism of a triple reuptake inhibitor amitifadine for the treatment of major depressive disorder|
W Xue, P Wang, G Tu, F Yang, G Zheng, X Li, X Li, Y Chen, X Yao, F Zhu
Physical chemistry chemical physics 20 (9), 6606-6616, 2018
|Exploring the inhibitory mechanism of approved selective norepinephrine reuptake inhibitors and reboxetine enantiomers by molecular dynamics study|
G Zheng, W Xue, P Wang, F Yang, B Li, X Li, Y Li, X Yao, F Zhu
Scientific reports 6, 26883, 2016
|ANPELA: analysis and performance assessment of the label-free quantification workflow for metaproteomic studies|
J Tang, J Fu, Y Wang, B Li, Y Li, Q Yang, X Cui, J Hong, X Li, Y Chen, ...
Briefings in bioinformatics, 2019
|Exploring the binding mechanism of metabotropic glutamate receptor 5 negative allosteric modulators in clinical trials by molecular dynamics simulations|
T Fu, G Zheng, G Tu, F Yang, Y Chen, X Yao, X Li, W Xue, F Zhu
ACS chemical neuroscience 9 (6), 1492-1502, 2018
|Discovery of the consistently well-performed analysis chain for SWATH-MS based pharmacoproteomic quantification|
J Fu, J Tang, Y Wang, X Cui, Q Yang, J Hong, X Li, S Li, Y Chen, W Xue, ...
Frontiers in pharmacology 9, 2018
|Prediction of the binding mode and resistance profile for a dual-target pyrrolyl diketo acid scaffold against HIV-1 integrase and reverse-transcriptase-associated ribonuclease H|
F Yang, G Zheng, T Fu, X Li, G Tu, YH Li, X Yao, W Xue, F Zhu
Physical chemistry chemical physics 20 (37), 23873-23884, 2018
|Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data|
Q Yang, B Li, J Tang, X Cui, Y Wang, X Li, J Hu, Y Chen, W Xue, Y Lou, ...
Briefings in bioinformatics, 2019
|What makes species productive of anti-cancer drugs? Clues from drugs’ species origin, druglikeness, target and pathway|
X Li, X Li, Y Li, C Yu, W Xue, J Hu, B Li, P Wang, F Zhu
Anti-Cancer Agents in Medicinal Chemistry (Formerly Current Medicinal …, 2019