| 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 | 344 | 2017 |
| 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 | 234 | 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 21 (3), 1058-1068, 2020 | 194 | 2020 |
| Nucleocapsid mutations R203K/G204R increase the infectivity, fitness, and virulence of SARS-CoV-2 H Wu, N Xing, K Meng, B Fu, W Xue, P Dong, W Tang, Y Xiao, G Liu, ... Cell host & microbe 29 (12), 1788-1801. e6, 2021 | 174 | 2021 |
| 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 | 160 | 2020 |
| 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 | 154 | 2020 |
| 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 (1), 38881, 2016 | 150 | 2016 |
| Protein functional annotation of simultaneously improved stability, accuracy and false discovery rate achieved by a sequence-based deep learning J Hong, Y Luo, Y Zhang, J Ying, W Xue, T Xie, L Tao, F Zhu Briefings in bioinformatics 21 (4), 1437-1447, 2020 | 130 | 2020 |
| 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 | 129 | 2018 |
| Interaction of erucic acid with bovine serum albumin using a multi-spectroscopic method and molecular docking technique Y Shu, W Xue, X Xu, Z Jia, X Yao, S Liu, L Liu Food chemistry 173, 31-37, 2015 | 117 | 2015 |
| 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 | 107 | 2018 |
| Simultaneous improvement in the precision, accuracy, and robustness of label-free proteome quantification by optimizing data manipulation chains*[S] J Tang, J Fu, Y Wang, Y Luo, Q Yang, B Li, G Tu, J Hong, X Cui, Y Chen, ... Molecular & Cellular Proteomics 18 (8), 1683-1699, 2019 | 106 | 2019 |
| Convolutional neural network-based annotation of bacterial type IV secretion system effectors with enhanced accuracy and reduced false discovery J Hong, Y Luo, M Mou, J Fu, Y Zhang, W Xue, T Xie, L Tao, Y Lou, F Zhu Briefings in bioinformatics 21 (5), 1825-1836, 2020 | 102 | 2020 |
| ORF8 contributes to cytokine storm during SARS-CoV-2 infection by activating IL-17 pathway X Lin, B Fu, S Yin, Z Li, H Liu, H Zhang, N Xing, Y Wang, W Xue, Y Xiong, ... Iscience 24 (4), 2021 | 96 | 2021 |
| Molecular modeling study on the resistance mechanism of HCV NS3/4A serine protease mutants R155K, A156V and D168A to TMC435 W Xue, D Pan, Y Yang, H Liu, X Yao Antiviral research 93 (1), 126-137, 2012 | 95 | 2012 |
| Steroidal alkaloids from Holarrhena antidysenterica as acetylcholinesterase inhibitors and the investigation for structure–activity relationships ZD Yang, DZ Duan, WW Xue, XJ Yao, S Li Life sciences 90 (23-24), 929-933, 2012 | 92 | 2012 |
| 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 | 89 | 2021 |
| How does chirality determine the selective inhibition of histone deacetylase 6? A lesson from trichostatin a enantiomers based on molecular dynamics Y Zhang, JB Ying, JJ Hong, FC Li, TT Fu, FY Yang, GX Zheng, XJ Yao, ... ACS Chemical Neuroscience 10 (5), 2467-2480, 2019 | 88 | 2019 |
| 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 | 81 | 2016 |
| Molecular mechanism for the allosteric inhibition of the human serotonin transporter by antidepressant escitalopram W Xue, T Fu, S Deng, F Yang, J Yang, F Zhu ACS chemical neuroscience 13 (3), 340-351, 2022 | 74 | 2022 |
Prof. Feng ZHU（朱峰 教授）Distinguished Professor of College of Pharmaceutical Sciences in Zhejiang University在 zju.edu.cn 的电子邮件经过验证
