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Global divergent trends of algal blooms detected by satellite during 1982–2018 期刊论文
Global Change Biology, 2022
作者:  Chong Fang;  Kaishan Song;  Hans W Paerl;  Pierre-Andre Jacinthe;  Zhidan Wen;  Ge Liu;  Hui Tao;  Xiaofeng Xu;  Tiit Kutser;  Zongming Wang;  Hongtao Duan;  Kun Shi;  Yingxin Shang;  Lili Lyu;  Sijia Li;  Qian Yang;  Dongmei Lyu;  Dehua Mao;  Baohua Zhang;  Shuai Cheng;  Yunfeng Lyu
收藏  |  浏览/下载:15/0  |  提交时间:2022/02/16
Peta–electron volt gamma-ray emission from the Crab Nebula 期刊论文
Science, 2021
作者:  The LHAASO Collaboration*†;  Zhen Cao;  F. Aharonian;  Q. An;  Axikegu;  L. X. Bai;  Y. X. Bai;  Y. W. Bao;  D. Bastieri;  X. J. Bi;  Y. J. Bi;  H. Cai;  J. T. Cai;  Zhe Cao;  J. Chang;  J. F. Chang;  B. M. Chen;  E. S. Chen;  J. Chen;  Liang Chen;  Liang Chen;  Long Chen;  M. J. Chen;  M. L. Chen;  Q. H. Chen;  S. H. Chen;  S. Z. Chen;  T. L. Chen;  X. L. Chen;  Y. Chen;  N. Cheng;  Y. D. Cheng;  S. W. Cui;  X. H. Cui;  Y. D. Cui;  B. D’Ettorre Piazzoli;  B. Z. Dai;  H. L. Dai;  Z. G. Dai;  Danzengluobu;  D. della Volpe;  X. J. Dong;  K. K. Duan;  J. H. Fan;  Y. Z. Fan;  Z. X. Fan;  J. Fang;  K. Fang;  C. F. Feng;  L. Feng;  S. H. Feng;  Y. L. Feng;  B. Gao;  C. D. Gao;  L. Q. Gao;  Q. Gao;  W. Gao;  M. M. Ge;  L. S. Geng;  G. H. Gong;  Q. B. Gou;  M. H. Gu;  F. L. Guo;  J. G. Guo;  X. L. Guo;  Y. Q. Guo;  Y. Y. Guo;  Y. A. Han;  H. H. He;  H. N. He;  J. C. He;  S. L. He;  X. B. He;  Y. He;  M. Heller;  Y. K. Hor;  C. Hou;  X. Hou;  H. B. Hu;  S. Hu;  S. C. Hu;  X. J. Hu;  D. H. Huang;  Q. L. Huang;  W. H. Huang;  X. T. Huang;  X. Y. Huang;  Z. C. Huang;  F. Ji;  X. L. Ji;  H. Y. Jia;  K. Jiang;  Z. J. Jiang;  C. Jin;  T. Ke;  D. Kuleshov;  K. Levochkin;  B. B. Li;  Cheng Li;  Cong Li;  F. Li;  H. B. Li;  H. C. Li;  H. Y. Li;  Jian Li;  Jie Li;  K. Li;  W. L. Li;  X. R. Li;  Xin Li;  Xin Li;  Y. Li;  Y. Z. Li;  Zhe Li;  Zhuo Li;  E. W. Liang;  Y. F. Liang;  S. J. Lin;  B. Liu;  C. Liu;  D. Liu;  H. Liu;  H. D. Liu;  J. Liu;  J. L. Liu;  J. S. Liu;  J. Y. Liu;  M. Y. Liu;  R. Y. Liu;  S. M. Liu;  W. Liu;  Y. Liu;  Y. N. Liu;  Z. X. Liu;  W. J. Long;  R. Lu;  H. K. Lv;  B. Q. Ma;  L. L. Ma;  X. H. Ma;  J. R. Mao;  A. Masood;  Z. Min;  W. Mitthumsiri;  T. Montaruli;  Y. C. Nan;  B. Y. Pang;  P. Pattarakijwanich;  Z. Y. Pei;  M. Y. Qi;  Y. Q. Qi;  B. Q. Qiao;  J. J. Qin;  D. Ruffolo;  V. Rulev;  A. Saiz;  L. Shao;  O. Shchegolev;  X. D. Sheng;  J. Y. Shi;  H. C. Song;  Yu. V. Stenkin;  V. Stepanov;  Y. Su;  Q. N. Sun;  X. N. Sun;  Z. B. Sun;  P. H. T. Tam;  Z. B. Tang;  W. W. Tian;  B. D. Wang;  C. Wang;  H. Wang;  H. G. Wang;  J. C. Wang;  J. S. Wang;  L. P. Wang;  L. Y. Wang;  R. N. Wang;  Wei Wang;  Wei Wang;  X. G. Wang;  X. J. Wang;  X. Y. Wang;  Y. Wang;  Y. D. Wang;  Y. J. Wang;  Y. P. Wang;  Z. H. Wang;  Z. X. Wang;  Zhen Wang;  Zheng Wang;  D. M. Wei;  J. J. Wei;  Y. J. Wei;  T. Wen;  C. Y. Wu;  H. R. Wu;  S. Wu;  W. X. Wu;  X. F. Wu;  S. Q. Xi;  J. Xia;  J. J. Xia;  G. M. Xiang;  D. X. Xiao;  G. Xiao;  H. B. Xiao;  G. G. Xin;  Y. L. Xin;  Y. Xing;  D. L. Xu;  R. X. Xu;  L. Xue;  D. H. Yan;  J. Z. Yan;  C. W. Yang;  F. F. Yang;  J. Y. Yang;  L. L. Yang;  M. J. Yang;  R. Z. Yang;  S. B. Yang;  Y. H. Yao;  Z. G. Yao;  Y. M. Ye;  L. Q. Yin;  N. Yin;  X. H. You;  Z. Y. You;  Y. H. Yu;  Q. Yuan;  H. D. Zeng;  T. X. Zeng;  W. Zeng;  Z. K. Zeng;  M. Zha;  X. X. Zhai;  B. B. Zhang;  H. M. Zhang;  H. Y. Zhang;  J. L. Zhang;  J. W. Zhang;  L. X. Zhang;  Li Zhang;  Lu Zhang;  P. F. Zhang;  P. P. Zhang;  R. Zhang;  S. R. Zhang;  S. S. Zhang;  X. Zhang;  X. P. Zhang;  Y. F. Zhang;  Y. L. Zhang;  Yi Zhang;  Yong Zhang;  B. Zhao;  J. Zhao;  L. Zhao;  L. Z. Zhao;  S. P. Zhao;  F. Zheng;  Y. Zheng;  B. Zhou;  H. Zhou;  J. N. Zhou;  P. Zhou;  R. Zhou;  X. X. Zhou;  C. G. Zhu;  F. R. Zhu;  H. Zhu;  K. J. Zhu;  X. Zuo
收藏  |  浏览/下载:16/0  |  提交时间:2021/07/27
Development of an inactivated vaccine candidate for SARS-CoV-2 期刊论文
Science, 2020
作者:  Qiang Gao;  Linlin Bao;  Haiyan Mao;  Lin Wang;  Kangwei Xu;  Minnan Yang;  Yajing Li;  Ling Zhu;  Nan Wang;  Zhe Lv;  Hong Gao;  Xiaoqin Ge;  Biao Kan;  Yaling Hu;  Jiangning Liu;  Fang Cai;  Deyu Jiang;  Yanhui Yin;  Chengfeng Qin;  Jing Li;  Xuejie Gong;  Xiuyu Lou;  Wen Shi;  Dongdong Wu;  Hengming Zhang;  Lang Zhu;  Wei Deng;  Yurong Li;  Jinxing Lu;  Changgui Li;  Xiangxi Wang;  Weidong Yin;  Yanjun Zhang;  Chuan Qin
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/06
Horizontal gene transfer of Fhb7 from fungus underlies Fusarium head blight resistance in wheat 期刊论文
Science, 2020
作者:  Hongwei Wang;  Silong Sun;  Wenyang Ge;  Lanfei Zhao;  Bingqian Hou;  Kai Wang;  Zhongfan Lyu;  Liyang Chen;  Shoushen Xu;  Jun Guo;  Min Li;  Peisen Su;  Xuefeng Li;  Guiping Wang;  Cunyao Bo;  Xiaojian Fang;  Wenwen Zhuang;  Xinxin Cheng;  Jianwen Wu;  Luhao Dong;  Wuying Chen;  Wen Li;  Guilian Xiao;  Jinxiao Zhao;  Yongchao Hao;  Ying Xu;  Yu Gao;  Wenjing Liu;  Yanhe Liu;  Huayan Yin;  Jiazhu Li;  Xiang Li;  Yan Zhao;  Xiaoqian Wang;  Fei Ni;  Xin Ma;  Anfei Li;  Steven S. Xu;  Guihua Bai;  Eviatar Nevo;  Caixia Gao;  Herbert Ohm;  Lingrang Kong
收藏  |  浏览/下载:17/0  |  提交时间:2020/05/25
Structure of the RNA-dependent RNA polymerase from COVID-19 virus 期刊论文
Science, 2020
作者:  Yan Gao;  Liming Yan;  Yucen Huang;  Fengjiang Liu;  Yao Zhao;  Lin Cao;  Tao Wang;  Qianqian Sun;  Zhenhua Ming;  Lianqi Zhang;  Ji Ge;  Litao Zheng;  Ying Zhang;  Haofeng Wang;  Yan Zhu;  Chen Zhu;  Tianyu Hu;  Tian Hua;  Bing Zhang;  Xiuna Yang;  Jun Li;  Haitao Yang;  Zhijie Liu;  Wenqing Xu;  Luke W. Guddat;  Quan Wang;  Zhiyong Lou;  Zihe Rao
收藏  |  浏览/下载:16/0  |  提交时间:2020/05/20
Twisted light on a chip 期刊论文
Science, 2020
作者:  Li Ge
收藏  |  浏览/下载:5/0  |  提交时间:2020/05/20
A self-activating orphan receptor 期刊论文
NATURE, 2020, 579 (7797) : 35-35
作者:  Wang, Lin;  Wu, Juehui;  Li, Jun;  Yang, Hua;  Tang, Tianqi;  Liang, Haijiao;  Zuo, Mianyong;  Wang, Jie;  Liu, Haipeng;  Liu, Feng;  Chen, Jianxia;  Liu, Zhonghua;  Wang, Yang;  Peng, Cheng;  Wu, Xiangyang;  Zheng, Ruijuan;  Huang, Xiaochen;  Ran, Yajun;  Rao, Zihe;  Ge, Baoxue
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

The first 3D structure of a full-length G-protein-coupled receptor whose natural activator is unknown has been determined, providing insights into an unusual mode of activation and a basis for discovering therapeutics.


  
China takes centre stage in global biodiversity push 期刊论文
NATURE, 2020, 578 (7795) : 345-346
作者:  Wang, Lin;  Wu, Juehui;  Li, Jun;  Yang, Hua;  Tang, Tianqi;  Liang, Haijiao;  Zuo, Mianyong;  Wang, Jie;  Liu, Haipeng;  Liu, Feng;  Chen, Jianxia;  Liu, Zhonghua;  Wang, Yang;  Peng, Cheng;  Wu, Xiangyang;  Zheng, Ruijuan;  Huang, Xiaochen;  Ran, Yajun;  Rao, Zihe;  Ge, Baoxue
收藏  |  浏览/下载:18/0  |  提交时间:2020/07/03

A major United Nations summit could see China push for ambitious targets and spotlights the country'  s own conservation efforts.


A major United Nations summit could see China push for ambitious targets and spotlights the country'  s own conservation efforts.


  
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:143/0  |  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).


  
Shisa7 isa GABA(A) receptor auxiliary subunit controlling benzodiazepine actions 期刊论文
SCIENCE, 2019, 366 (6462) : 246-+
作者:  Han, Wenyan;  Li, Jun;  Pelkey, Kenneth A.;  Pandey, Saurabh;  Chen, Xiumin;  Wang, Ya-Xian;  Wu, Kunwei;  Ge, Lihao;  Li, Tianming;  Castellano, David;  Liu, Chengyu;  Wu, Ling-Gang;  Petralia, Ronald S.;  Lynch, Joseph W.;  McBain, Chris J.;  Lu, Wei
收藏  |  浏览/下载:12/0  |  提交时间:2019/11/27