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Prenatal Exposure to Per- and Polyfluoroalkyl Substances and Child Growth Trajectories in the First Two Years 期刊论文
Environmental Health Perspectives, 2022
作者:  Yu Gao;  Jiajun Luo;  Yan Zhang;  Chengyu Pan;  Yunjie Ren;  Jun Zhang;  Ying Tian;  for the Shanghai Birth Cohort
收藏  |  浏览/下载:16/0  |  提交时间:2022/03/17
Rare variant MX1 alleles increase human susceptibility to zoonotic H7N9 influenza virus 期刊论文
Science, 2021
作者:  Yongkun Chen;  Laura Graf;  Tao Chen;  Qijun Liao;  Tian Bai;  Philipp P. Petric;  Wenfei Zhu;  Lei Yang;  Jie Dong;  Jian Lu;  Ying Chen;  Juan Shen;  Otto Haller;  Peter Staeheli;  Georg Kochs;  Dayan Wang;  Martin Schwemmle;  Yuelong Shu
收藏  |  浏览/下载:16/0  |  提交时间:2021/08/25
Ensemble skill gains obtained from the multi-physics versus multi-model approaches for continental-scale hydrological simulations 期刊论文
Water Resources Research, 2021
作者:  Wenli Fei;  Hui Zheng;  Zhongfeng Xu;  Wen-Ying Wu;  Peirong Lin;  Ye Tian;  Mengyao Guo;  Dunxian She;  Lingcheng Li;  Kai Li;  Zong-Liang Yang
收藏  |  浏览/下载:10/0  |  提交时间:2021/07/27
A small climate-amplifying effect of climate-carbon cycle feedback 期刊论文
Nature Communications, 2021
作者:  Xuanze Zhang;  Ying-Ping Wang;  Peter J. Rayner;  Philippe Ciais;  Kun Huang;  Yiqi Luo;  Shilong Piao;  Zhonglei Wang;  Jianyang Xia;  Wei Zhao;  Xiaogu Zheng;  Jing Tian;  Yongqiang Zhang
收藏  |  浏览/下载:14/0  |  提交时间:2021/06/07
Urinary Organophosphate Metabolite Concentrations and Pregnancy Outcomes among Women Conceiving through in Vitro Fertilization in Shanghai, China 期刊论文
Environmental Health Perspectives, 2020
作者:  Peipei Hu;  Angela Vinturache;  Hong Li;  Ying Tian;  Lei Yuan;  Chen Cai;  Min Lu;  Jiuru Zhao;  Qianqian Zhang;  Yu Gao;  Zhiwei Liu;  Guodong Ding
收藏  |  浏览/下载:22/0  |  提交时间:2020/10/12
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:15/0  |  提交时间:2020/05/20
Rainfall manipulation experiments as simulated by terrestrial biosphere models: Where do we stand? 期刊论文
Global Change Biology, 2020
作者:  Athanasios Paschalis;  Simone Fatichi;  Jakob Zscheischler;  Philippe Ciais;  Michael Bahn;  Lena Boysen;  Jinfeng Chang;  Martin De Kauwe;  Marc Estiarte;  Daniel Goll;  Paul J. Hanson;  Anna B. Harper;  Enqing Hou;  Jaime Kigel;  Alan K. Knapp;  Klaus S. Larsen;  Wei Li;  Sebastian Lienert;  Yiqi Luo;  Patrick Meir;  Julia E. M. S. Nabel;  Romà;  Ogaya;  Anthony J. Parolari;  Changhui Peng;  Josep Peñ;  uelas;  Julia Pongratz;  Serge Rambal;  Inger K. Schmidt;  Hao Shi;  Marcelo Sternberg;  Hanqin Tian;  Elisabeth Tschumi;  Anna Ukkola;  Sara Vicca;  Nicolas Viovy;  Ying‐;  Ping Wang;  Zhuonan Wang;  Karina Williams;  Donghai Wu;  Qiuan Zhu
收藏  |  浏览/下载:9/0  |  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: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).


  
Enhanced heating rate of black carbon above the planetary boundary layer over megacities in summertime 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
作者:  Liu, Dantong;  Zhao, Delong;  Xie, Zhenzhen;  Yu, Chenjie;  Chen, Ying;  Tian, Ping;  Ding, Shuo;  Hu, Kang;  Lowe, Douglas;  Liu, Quan;  Zhou, Wei;  Wang, Fei;  Sheng, Jiujiang;  Kong, Shaofei;  Hu, Dawei;  Wang, Zhenzhu;  Huang, Mengyu;  Ding, Deping
收藏  |  浏览/下载:16/0  |  提交时间:2020/02/17
black carbon  absorption enhancement  heating rate  cloud reflection  
Seasonal predictability of winter ENSO types in operational dynamical model predictions 期刊论文
CLIMATE DYNAMICS, 2019, 52: 3869-3890
作者:  Ren, Hong-Li;  Scaife, Adam A.;  Dunstone, Nick;  Tian, Ben;  Liu, Ying;  Ineson, Sarah;  Lee, June-Yi;  Smith, Doug;  Liu, Changzheng;  Thompson, Vikki;  Vellinga, Michael;  MacLachlan, Craig
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/26
Two types of winter ENSO events  Predictability  Dynamical model  Evaluation