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Inborn errors of type I IFN immunity in patients with life-threatening COVID-19 期刊论文
Science, 2020
作者:  Qian Zhang;  Paul Bastard;  Zhiyong Liu;  Jérémie Le Pen;  Marcela Moncada-Velez;  Jie Chen;  Masato Ogishi;  Ira K. D. Sabli;  Stephanie Hodeib;  Cecilia Korol;  Jérémie Rosain;  Kaya Bilguvar;  Junqiang Ye;  Alexandre Bolze;  Benedetta Bigio;  Rui Yang;  Andrés Augusto Arias;  Qinhua Zhou;  Yu Zhang;  Fanny Onodi;  Sarantis Korniotis;  Léa Karpf;  Quentin Philippot;  Marwa Chbihi;  Lucie Bonnet-Madin;  Karim Dorgham;  Nikaïa Smith;  William M. Schneider;  Brandon S. Razooky;  Hans-Heinrich Hoffmann;  Eleftherios Michailidis;  Leen Moens;  Ji Eun Han;  Lazaro Lorenzo;  Lucy Bizien;  Philip Meade;  Anna-Lena Neehus;  Aileen Camille Ugurbil;  Aurélien Corneau;  Gaspard Kerner;  Peng Zhang;  Franck Rapaport;  Yoann Seeleuthner;  Jeremy Manry;  Cecile Masson;  Yohann Schmitt;  Agatha Schlüter;  Tom Le Voyer;  Taushif Khan;  Juan Li;  Jacques Fellay;  Lucie Roussel;  Mohammad Shahrooei;  Mohammed F. Alosaimi;  Davood Mansouri;  Haya Al-Saud;  Fahd Al-Mulla;  Feras Almourfi;  Saleh Zaid Al-Muhsen;  Fahad Alsohime;  Saeed Al Turki;  Rana Hasanato;  Diederik van de Beek;  Andrea Biondi;  Laura Rachele Bettini;  Mariella D’Angio’;  Paolo Bonfanti;  Luisa Imberti;  Alessandra Sottini;  Simone Paghera;  Eugenia Quiros-Roldan;  Camillo Rossi;  Andrew J. Oler;  Miranda F. Tompkins;  Camille Alba;  Isabelle Vandernoot;  Jean-Christophe Goffard;  Guillaume Smits;  Isabelle Migeotte;  Filomeen Haerynck;  Pere Soler-Palacin;  Andrea Martin-Nalda;  Roger Colobran;  Pierre-Emmanuel Morange;  Sevgi Keles;  Fatma Çölkesen;  Tayfun Ozcelik;  Kadriye Kart Yasar;  Sevtap Senoglu;  Şemsi Nur Karabela;  Carlos Rodríguez-Gallego;  Giuseppe Novelli;  Sami Hraiech;  Yacine Tandjaoui-Lambiotte;  Xavier Duval;  Cédric Laouénan;  COVID-STORM Clinicians†;  COVID Clinicians†;  Imagine COVID Group†;  French COVID Cohort Study Group†;  CoV-Contact Cohort†;  Amsterdam UMC Covid-19 Biobank†;  COVID Human Genetic Effort†;  NIAID-USUHS/TAGC COVID Immunity Group†;  Andrew L. Snow;  Clifton L. Dalgard;  Joshua D. Milner;  Donald C. Vinh;  Trine H. Mogensen;  Nico Marr;  András N. Spaan;  Bertrand Boisson;  Stéphanie Boisson-Dupuis;  Jacinta Bustamante;  Anne Puel;  Michael J. Ciancanelli;  Isabelle Meyts;  Tom Maniatis;  Vassili Soumelis;  Ali Amara;  Michel Nussenzweig;  Adolfo García-Sastre;  Florian Krammer;  Aurora Pujol;  Darragh Duffy;  Richard P. Lifton;  Shen-Ying Zhang;  Guy Gorochov;  Vivien Béziat;  Emmanuelle Jouanguy;  Vanessa Sancho-Shimizu;  Charles M. Rice;  Laurent Abel;  Luigi D. Notarangelo;  Aurélie Cobat;  Helen C. Su;  Jean-Laurent Casanova
收藏  |  浏览/下载：21/0  |  提交时间：2020/10/26
Fast sulfate formation from oxidation of SO2 by NO2 and HONO observed in Beijing haze 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Wang, Junfeng;  Li, Jingyi;  Ye, Jianhuai;  Zhao, Jian;  Wu, Yangzhou;  Hu, Jianlin;  Liu, Dantong;  Nie, Dongyang;  Shen, Fuzhen;  Huang, Xiangpeng;  Huang, Dan Dan;  Ji, Dongsheng;  Sun, Xu;  Xu, Weiqi;  Guo, Jianping;  Song, Shaojie;  Qin, Yiming;  Liu, Pengfei;  Turner, Jay R.;  Lee, Hyun Chul;  Hwang, Sungwoo;  Liao, Hong;  Martin, Scot T.;  Zhang, Qi;  Chen, Mindong;  Sun, Yele;  Ge, Xinlei;  Jacob, Daniel J.
收藏  |  浏览/下载：18/0  |  提交时间：2020/06/09
Assessment of the short-term mortality effect of the national action plan on air pollution in Beijing, China 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (3)
作者:  Han, Ling;  Sun, Zhaobin;  Gong, Tianyi;  Zhang, Xiaoling;  He, Juan;  Xing, Qian;  Li, Ziming;  Wang, Ji;  Ye, Dianxiu;  Miao, Shiguang
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
air pollution prevention and control action plan  PM2  5  mortality  air quality  emission reduction  
Tree species traits affect which natural enemies drive the Janzen-Connell effect in a temperate forest 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Jia, Shihong;  Wang, Xugao;  Yuan, Zuoqiang;  Lin, Fei;  Ye, Ji;  Lin, Guigang;  Hao, Zhanqing;  Bagchi, Robert
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).