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WUSCHEL triggers innate antiviral immunity in plant stem cells 期刊论文
Science, 2020
作者:  Haijun Wu;  Xiaoya Qu;  Zhicheng Dong;  Linjie Luo;  Chen Shao;  Joachim Forner;  Jan U. Lohmann;  Meng Su;  Mengchu Xu;  Xiaobin Liu;  Lei Zhu;  Jian Zeng;  Sumei Liu;  Zhaoxia Tian;  Zhong Zhao
收藏  |  浏览/下载：10/0  |  提交时间：2020/10/12
Global patterns and controlling factors of soil nitrification rate 期刊论文
Global Change Biology, 2020
作者:  Zhaolei Li;  Zhaoqi Zeng;  Dashuan Tian;  Jinsong Wang;  Zheng Fu;  Fangyue Zhang;  Ruiyang Zhang;  Weinan Chen;  Yiqi Luo;  Shuli Niu
收藏  |  浏览/下载：12/0  |  提交时间：2020/05/20
Molecular absorption and evolution mechanisms of PM2.5 brown carbon revealed by electrospray ionization ‐Fourier‐transform ion cyclotron resonance mass spectrometry during a severe winter pollution episode in Xi’an, China 期刊论文
Geophysical Research Letters, 2020
作者:  Yaling Zeng;  Zhenxing Shen;  Satoshi Takahama;  Leiming Zhang;  Tian Zhang;  Yali Lei;  Qian Zhang;  Hongmei Xu;  Yanli Ning;  Yu Huang;  Junji Cao;  Hö;  hn Rudolf
收藏  |  浏览/下载：8/0  |  提交时间：2020/05/13
Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017 期刊论文
Global Change Biology, 2020
作者:  Jeongmin Yun;  Sujong Jeong;  Chang‐;  Hoi Ho;  Hoonyoung Park;  Junjie Liu;  Haeyoung Lee;  Stephen Sitch;  Pierre Friedlingstein;  Sebastian Lienert;  Danica Lombardozzi;  Vanessa Haverd;  Atual Jain;  Sö;  nke Zaehle;  Etsushi Kato;  Hanqin Tian;  Nicolas Vuichard;  Andy Wiltshire;  Ning Zeng
收藏  |  浏览/下载：12/0  |  提交时间：2020/05/13
PM2.5 Humic-like substances over Xi'an, China: Optical properties, chemical functional group, and source identification 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Zhang, Tian;  Shen, Zhenxing;  Zhang, Leiming;  Tang, Zhuoyue;  Zhang, Qian;  Chen, Qingcai;  Lei, Yali;  Zeng, Yaling;  Xu, Hongmei;  Cao, Junji
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
Humic-like substances  Optical properties  Chemical groups  Sources  
Mapping anthropogenic mineral generation in China and its implications for a circular economy 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Zeng, Xianlai;  Ali, Saleem H.;  Tian, Jinping;  Li, Jinhui
收藏  |  浏览/下载：15/0  |  提交时间：2020/05/13
The stoichiometry of soil microbial biomass determines metabolic quotient of nitrogen mineralization 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Li, Zhaolei;  Zeng, Zhaoqi;  Tian, Dashuan;  Wang, Jinsong;  Fu, Zheng;  Wang, Bingxue;  Tang, Ze;  Chen, Weinan;  Chen, Han Y. H.;  Wang, Changhui;  Yi, Chuixiang;  Niu, Shuli
收藏  |  浏览/下载：23/0  |  提交时间：2020/07/02
dominant driver  global warming  metabolic quotient  natural ecosystems  nitrogen cycling  stoichiometry of microbial biomass  
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).