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Ying Hong Li
Ying Hong Li
Ph.D
在 cqupt.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Therapeutic target database 2020: enriched resource for facilitating research and early development of targeted therapeutics
Y Wang, S Zhang, F Li, Y Zhou, Y Zhang, Z Wang, R Zhang, J Zhu, Y Ren, ...
Nucleic acids research 48 (D1), D1031-D1041, 2020
7622020
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
4982018
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
3322017
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
2822016
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 21 (3), 1058-1068, 2020
1822020
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 21 (2), 621-636, 2020
1542020
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
1502014
Clinical trials, progression-speed differentiating features and swiftness rule of the innovative targets of first-in-class drugs
YH Li, XX Li, JJ Hong, YX Wang, JB Fu, H Yang, CY Yu, FC Li, J Hu, ...
Briefings in Bioinformatics 21 (2), 649-662, 2020
1472020
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
1282016
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
1252018
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
1082018
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
1032018
MMEASE: online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis
Q Yang, B Li, S Chen, J Tang, Y Li, Y Li, S Zhang, C Shi, Y Zhang, M Mou, ...
Journal of Proteomics 232, 104023, 2021
822021
Discovery of the consistently well-performed analysis chain for SWATH-MS based pharmacoproteomic quantification
J Fu, W Xue, F Zhu
Frontiers in Pharmacology 9, 390179, 2018
692018
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
682016
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 (1), 26883, 2016
512016
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
432016
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
302018
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
202019
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