| Simultaneous optimization of biomolecular energy functions on features from small molecules and macromolecules H Park, P Bradley, P Greisen Jr, Y Liu, VK Mulligan, DE Kim, D Baker, ... Journal of chemical theory and computation 12 (12), 6201-6212, 2016 | 435 | 2016 |
| Chemoproteomics reveals baicalin activates hepatic CPT1 to ameliorate diet-induced obesity and hepatic steatosis J Dai, K Liang, S Zhao, W Jia, Y Liu, H Wu, J Lv, C Cao, T Chen, ... Proceedings of the National Academy of Sciences 115 (26), E5896-E5905, 2018 | 254 | 2018 |
| S-glycosylation-based cysteine profiling reveals regulation of glycolysis by itaconate W Qin, KE Qin, Y Zhang, W Jia, Y Chen, BO Cheng, L Peng, N Chen, ... Nature chemical biology 15 (10), 983-991, 2019 | 227 | 2019 |
| Artificial cysteine S‐glycosylation induced by per‐O‐acetylated unnatural monosaccharides during metabolic glycan labeling W Qin, K Qin, X Fan, L Peng, W Hong, Y Zhu, P Lv, Y Du, R Huang, M Han, ... Angewandte Chemie 130 (7), 1835-1838, 2018 | 168 | 2018 |
| Quantitative profiling of protein carbonylations in ferroptosis by an aniline-derived probe Y Chen, Y Liu, T Lan, W Qin, Y Zhu, K Qin, J Gao, H Wang, X Hou, ... Journal of the American Chemical Society 140 (13), 4712-4720, 2018 | 164 | 2018 |
| Time-resolved protein activation by proximal decaging in living systems J Wang, Y Liu, Y Liu, S Zheng, X Wang, J Zhao, F Yang, G Zhang, ... Nature 569 (7757), 509-513, 2019 | 149 | 2019 |
| Improved de novo structure prediction in CASP 11 by incorporating coevolution information into Rosetta S Ovchinnikov, DE Kim, RYR Wang, Y Liu, F DiMaio, D Baker Proteins: Structure, Function, and Bioinformatics 84, 67-75, 2016 | 141 | 2016 |
| Chemoproteomic profiling of itaconation by bioorthogonal probes in inflammatory macrophages W Qin, Y Zhang, H Tang, D Liu, Y Chen, Y Liu, C Wang Journal of the American Chemical Society 142 (25), 10894-10898, 2020 | 91 | 2020 |
| Fusion and fission pathways of vesicles from amphiphilic triblock copolymers: a dissipative particle dynamics simulation study X Li, Y Liu, L Wang, M Deng, H Liang Phys. Chem. Chem. Phys. 11 (20), 4051-4059, 2009 | 71 | 2009 |
| Microphase separation of diblock copolymer poly (styrene-b-isoprene): A dissipative particle dynamics simulation study X Li, J Guo, Y Liu, H Liang The Journal of chemical physics 130, 074908, 2009 | 62 | 2009 |
| Impact of hydrogen bonding on inclusion layer of urea to cellulose: study of molecular dynamics simulation L Cai, Y Liu, H Liang Polymer 53 (5), 1124-1130, 2012 | 50 | 2012 |
| Quantitative chemoproteomic profiling with data-independent acquisition-based mass spectrometry F Yang, G Jia, J Guo, Y Liu, C Wang Journal of the American Chemical Society 144 (2), 901-911, 2022 | 48 | 2022 |
| Dissipative particle dynamics simulations of toroidal structure formations of amphiphilic triblock copolymers X Li, M Deng, Y Liu, H Liang The Journal of Physical Chemistry B 112 (47), 14762-14765, 2008 | 42 | 2008 |
| Theoretical investigation of the proton transfer mechanism in guanine-cytosine and adenine-thymine base pairs S Xiao, L Wang, Y Liu, X Lin, H Liang The Journal of Chemical Physics 137 (19), 2012 | 41 | 2012 |
| Flow-induced translocation of polymers through a fluidic channel: A dissipative particle dynamics simulation study J Guo, X Li, Y Liu, H Liang The Journal of chemical physics 134 (13), 2011 | 40 | 2011 |
| Canonical and microcanonical analysis of nongrafted homopolymer adsorption by an attractive substrate L Wang, T Chen, X Lin, Y Liu, H Liang The Journal of chemical physics 131, 244902, 2009 | 32 | 2009 |
| Sequence-based prediction of cysteine reactivity using machine learning H Wang, X Chen, C Li, Y Liu, F Yang, C Wang Biochemistry 57 (4), 451-460, 2018 | 30 | 2018 |
| Quantitative and site-specific chemoproteomic profiling of targets of acrolein Y Chen, Y Liu, X Hou, Z Ye, C Wang Chemical Research in Toxicology 32 (3), 467-473, 2019 | 27 | 2019 |
| Chemical proteomic profiling of protein N-homocysteinylation with a thioester probe N Chen, J Liu, Z Qiao, Y Liu, Y Yang, C Jiang, X Wang, C Wang Chemical Science 9 (10), 2826-2830, 2018 | 27 | 2018 |
| Development and validation of machine learning–based model for the prediction of malignancy in multiple pulmonary nodules: Analysis from multicentric cohorts K Chen, Y Nie, S Park, K Zhang, Y Zhang, Y Liu, B Hui, L Zhou, X Wang, ... Clinical Cancer Research 27 (8), 2255-2265, 2021 | 22 | 2021 |
Chu WangPeking University在 pku.edu.cn 的电子邮件经过验证
