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Characteristics and source apportionment of non-polar organic compounds in PM2.5 from the three megacities in Yangtze River Delta region, China 期刊论文
Atmospheric Research, 2020
作者:  Fang Cao, Yi-Xuan Zhang, Xin Lin, Yan-Lin Zhang
收藏  |  浏览/下载:15/0  |  提交时间:2020/12/28
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:142/0  |  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).


  
Ozone enhancement due to the photodissociation of nitrous acid in eastern China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11267-11278
作者:  Tie, Xuexi;  Long, Xin;  Li, Guohui;  Zhao, Shuyu;  Cao, Junji;  Xu, Jianming
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
Impact of the Green Light Program on haze in the North China Plain, China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11185-11197
作者:  Long, Xin;  Tie, Xuexi;  Zhou, Jiamao;  Dai, Wenting;  Li, Xueke;  Feng, Tian;  Li, Guohui;  Cao, Junji;  An, Zhisheng
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Pan-cancer genome and transcriptome analyses of 1,699 paediatric leukaemias and solid tumours 期刊论文
NATURE, 2018, 555 (7696) : 371-+
作者:  Ma, Xiaotu;  Liu, Yu;  Liu, Yanling;  Alexandrov, Ludmil B.;  Edmonson, Michael N.;  Gawad, Charles;  Zhou, Xin;  Li, Yongjin;  Rusch, Michael C.;  Easton, John;  Huether, Robert;  Gonzalez-Pena, Veronica;  Wilkinson, Mark R.;  Hermida, Leandro C.;  Davis, Sean;  Sioson, Edgar;  Pounds, Stanley;  Cao, Xueyuan;  Ries, Rhonda E.;  Wang, Zhaoming;  Chen, Xiang;  Dong, Li;  Diskin, Sharon J.;  Smith, Malcolm A.;  Auvil, Jaime M. Guidry;  Meltzer, Paul S.;  Lau, Ching C.;  Perlman, Elizabeth J.;  Maris, John M.;  Meshinchi, Soheil;  Hunger, Stephen P.;  Gerhard, Daniela S.;  Zhang, Jinghui
收藏  |  浏览/下载:15/0  |  提交时间:2019/11/27
Ammonia emission control in China would mitigate haze pollution and nitrogen deposition, but worsen acid rain 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2019, 116 (16) : 7760-7765
作者:  Liu, Mingxu;  Huang, Xin;  Song, Yu;  Tang, Jie;  Cao, Junji;  Zhang, Xiaoye;  Zhang, Qiang;  Wang, Shuxiao;  Xu, Tingting;  Kang, Ling;  Cai, Xuhui;  Zhang, Hongsheng;  Yang, Fumo;  Wang, Huanbo;  Yu, Jian Zhen;  Lau, Alexis K. H.;  He, Lingyan;  Huang, Xiaofeng;  Duan, Lei;  Ding, Aijun;  Xue, Likun;  Gao, Jian;  Liu, Bin;  Zhu, Tong
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/27
ammonia emission  China  PM2.5  acid rain  nitrogen deposition  
Saccharides in summer and winter PM2.5 over Xi'an, Northwestern China: Sources, and yearly variations of biomass burning contribution to PM2.5 期刊论文
ATMOSPHERIC RESEARCH, 2018, 214: 410-417
作者:  Wang, Xin;  Shen, Zhenxing;  Liu, Fobang;  Lu, Di;  Tao, Jun;  Lei, Yali;  Zhang, Qian;  Zeng, Yaling;  Xu, Hongmei;  Wu, Yunfei;  Zhang, Renjian;  Cao, Junji
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
Saccharides  PM2.5  Northwestern China  Levoglucosan  Biomass burning  
Organic and solution-processed tandem solar cells with 17.3% efficiency 期刊论文
SCIENCE, 2018, 361 (6407) : 1094-+
作者:  Meng, Lingxian;  Zhang, Yamin;  Wan, Xiangjian;  Li, Chenxi;  Zhang, Xin;  Wang, Yanbo;  Ke, Xin;  Xiao, Zuo;  Ding, Liming;  Xia, Ruoxi;  Yip, Hin-Lap;  Cao, Yong;  Chen, Yongsheng
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Structural basis for the recognition of Sonic Hedgehog by human Patchedl 期刊论文
SCIENCE, 2018, 361 (6402)
作者:  Gong, Xin;  Qian, Hongwu;  Cao, Pingping;  Zhao, Xin;  Zhou, Qiang;  Lei, Jianlin;  Yan, Nieng
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Does afforestation deteriorate haze pollution in Beijing-Tianjin-Hebei (BTH), China? 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (15) : 10869-10879
作者:  Long, Xin;  Bei, Naifang;  Wu, Jiarui;  Li, Xia;  Feng, Tian;  Xing, Li;  Zhao, Shuyu;  Cao, Junji;  Tie, Xuexi;  An, Zhisheng;  Li, Guohui
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09