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Hydraulic prediction of drought-induced plant dieback and top-kill depends on leaf habit and growth form 期刊论文
Ecology Letters, 2021
作者:  Ya-Jun Chen;  Brendan Choat;  Frank Sterck;  Phisamai Maenpuen;  Masatoshi Katabuchi;  Shu-Bin Zhang;  Kyle W. Tomlinson;  Rafael S. Oliveira;  Yong-Jiang Zhang;  Jing-Xian Shen;  Kun-Fang Cao;  Steven Jansen
收藏  |  浏览/下载:37/0  |  提交时间:2021/08/25
Late lactation in small mammals is a critically sensitive window of vulnerability to elevated ambient temperature 期刊论文
Proceedings of the National Academy of Sciences, 2020
作者:  Zhi-Jun Zhao;  Catherine Hambly;  Lu-Lu Shi;  Zhong-Qiang Bi;  Jing Cao;  John R. Speakman
收藏  |  浏览/下载:24/0  |  提交时间:2020/09/22
Contrasting sources and processes of particulate species in haze days with low and high relative humidity in wintertime Beijing 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Ru-Jin Huang, Yao He, Jing Duan, Yongjie Li, Qi Chen, Yan Zheng, Yang Chen, Weiwei Hu, Chunshui Lin, Haiyan Ni, Wenting Dai, Junji Cao, Yunfei Wu, Renjian Zhang, Wei Xu, Jurgita Ovadnevaite, Darius Ceburnis, Thorsten Hoffmann, and Colin D. O'Dowd
收藏  |  浏览/下载:37/0  |  提交时间:2020/08/09
A 1-year characterization of organic aerosol composition and sources using an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (13) : 7875-7893
作者:  Qi, Lu;  Vogel, Alexander L.;  Esmaeilirad, Sepideh;  Cao, Liming;  Zheng, Jing;  Jaffrezo, Jean-Luc;  Fermo, Paola;  Kasper-Giebl, Anne;  Daellenbach, Kaspar R.;  Chen, Mindong;  Ge, Xinlei;  Baltensperger, Urs;  Prevot, Andre S. H.;  Slowik, Jay G.
收藏  |  浏览/下载:37/0  |  提交时间:2020/07/09
Molecular characterization of firework-related urban aerosols using Fourier transform ion cyclotron resonance mass spectrometry 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (11) : 6803-6820
作者:  Xie, Qiaorong;  Su, Sihui;  Chen, Shuang;  Xu, Yisheng;  Cao, Dong;  Chen, Jing;  Ren, Lujie;  Yue, Siyao;  Zhao, Wanyu;  Sun, Yele;  Wang, Zifa;  Tong, Haijie;  Su, Hang;  Cheng, Yafang;  Kawamura, Kimitaka;  Jiang, Guibin;  Liu, Cong-Qiang;  Fu, Pingqing
收藏  |  浏览/下载:42/0  |  提交时间:2020/06/16
Increase of High Molecular Weight Organosulfate With Intensifying Urban Air Pollution in the Megacity Beijing 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (10)
作者:  Xie, Qiaorong;  Li, Ying;  Yue, Siyao;  Su, Sihui;  Cao, Dong;  Xu, Yisheng;  Chen, Jing;  Tong, Haijie;  Su, Hang;  Cheng, Yafang;  Zhao, Wanyu;  Hu, Wei;  Wang, Zhe;  Yang, Ting;  Pan, Xiaole;  Sun, Yele;  Wang, Zifa;  Liu, Cong-Qiang;  Kawamura, Kimitaka;  Jiang, Guibin;  Shiraiwa, Manabu;  Fu, Pingqing
收藏  |  浏览/下载:43/0  |  提交时间:2020/07/02
Organic aerosol  Organosulfates  FT-ICR MS  Secondary organic aerosol  Volatile organic compounds  
High-resolution spatiotemporal patterns of China's FFCO2 emissions under the impact of LUCC from 2000 to 2015 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Zhao, Jing;  Cohen, Jason Blake;  Chen, Yating;  Cui, Weihong;  Cao, Qianqian;  Yang, Tengfei;  Li, Guoqing
收藏  |  浏览/下载:26/0  |  提交时间:2020/07/02
FFCO2 emissions  LUCC  spatiotemporal patterns  multi-source data  hotspots  
Evolutionary selection of biofilm-mediated extended phenotypes in Yersinia pestis in response to a fluctuating environment 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Cui, Yujun;  Schmid, Boris, V;  Cao, Hanli;  Dai, Xiang;  Du, Zongmin;  Easterday, W. Ryan;  Fang, Haihong;  Guo, Chenyi;  Huang, Shanqian;  Liu, Wanbing;  Qi, Zhizhen;  Song, Yajun;  Tian, Huaiyu;  Wang, Min;  Wu, Yarong;  Xu, Bing;  Yang, Chao;  Yang, Jing;  Yang, Xianwei;  Zhang, Qingwen;  Jakobsen, Kjetill S.;  Zhang, Yujiang;  Stenseth, Nils Chr;  Yang, Ruifu
收藏  |  浏览/下载:40/0  |  提交时间:2020/05/13
Improved protein structure prediction using potentials from deep learning 期刊论文
NATURE, 2020, 577 (7792) : 706-+
作者:  Ma, Runze;  Cao, Duanyun;  Zhu, Chongqin;  Tian, Ye;  Peng, Jinbo;  Guo, Jing;  Chen, Ji;  Li, Xin-Zheng;  Francisco, Joseph S.;  Zeng, Xiao Cheng;  Xu, Li-Mei;  Wang, En-Ge;  Jiang, Ying
收藏  |  浏览/下载:156/0  |  提交时间:2020/07/03

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence(1). This problem is of fundamental importance as the structure of a protein largely determines its function(2)  however, protein structures can be difficult to determine experimentally. Considerable progress has recently been made by leveraging genetic information. It is possible to infer which amino acid residues are in contact by analysing covariation in homologous sequences, which aids in the prediction of protein structures(3). Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the structure than contact predictions. Using this information, we construct a potential of mean force(4) that can accurately describe the shape of a protein. We find that the resulting potential can be optimized by a simple gradient descent algorithm to generate structures without complex sampling procedures. The resulting system, named AlphaFold, achieves high accuracy, even for sequences with fewer homologous sequences. In the recent Critical Assessment of Protein Structure Prediction(5) (CASP13)-a blind assessment of the state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which used sampling and contact information, achieved such accuracy for only 14 out of 43 domains. AlphaFold represents a considerable advance in protein-structure prediction. We expect this increased accuracy to enable insights into the function and malfunction of proteins, especially in cases for which no structures for homologous proteins have been experimentally determined(7).


  
Distinctions in source regions and formation mechanisms of secondary aerosol in Beijing from summer to winter 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (15) : 10319-10334
作者:  Duan, Jing;  39;  Dowd, Colin D.;  Cao, Junji
收藏  |  浏览/下载:18/0  |  提交时间:2019/11/27