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Accurate compound-specific C-14 dating of archaeological pottery vessels 期刊论文
NATURE, 2020, 580 (7804) : 506-+
作者:  Yin, Yafei;  Lu, J. Yuyang;  Zhang, Xuechun;  Shao, Wen;  Xu, Yanhui;  Li, Pan;  Hong, Yantao;  Cui, Li;  Shan, Ge;  Tian, Bin;  Zhang, Qiangfeng Cliff;  Shen, Xiaohua
收藏  |  浏览/下载:20/0  |  提交时间:2020/05/13

Pottery is one of the most commonly recovered artefacts from archaeological sites. Despite more than a century of relative dating based on typology and seriation(1), accurate dating of pottery using the radiocarbon dating method has proven extremely challenging owing to the limited survival of organic temper and unreliability of visible residues(2-4). Here we report a method to directly date archaeological pottery based on accelerator mass spectrometry analysis of C-14 in absorbed food residues using palmitic (C-16:0) and stearic (C-18:0) fatty acids purified by preparative gas chromatography(5-8). We present accurate compound-specific radiocarbon determinations of lipids extracted from pottery vessels, which were rigorously evaluated by comparison with dendrochronological dates(9,10) and inclusion in site and regional chronologies that contained previously determined radiocarbon dates on other materials(11-15). Notably, the compound-specific dates from each of the C-16:0 and C-18:0 fatty acids in pottery vessels provide an internal quality control of the results(6) and are entirely compatible with dates for other commonly dated materials. Accurate radiocarbon dating of pottery vessels can reveal: (1) the period of use of pottery  (2) the antiquity of organic residues, including when specific foodstuffs were exploited  (3) the chronology of sites in the absence of traditionally datable materials  and (4) direct verification of pottery typochronologies. Here we used the method to date the exploitation of dairy and carcass products in Neolithic vessels from Britain, Anatolia, central and western Europe, and Saharan Africa.


Using lipid residues absorbed in potsherds, the ages of pottery from various archaeological sites are determined and validated using sites for which the dates are well known from other methods.


  
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:11/0  |  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:15/0  |  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).


  
The genome of Chenopodium quinoa (vol 542, pg 307, 2017) 期刊论文
NATURE, 2017, 545 (7655) : 510-510
作者:  Jarvis, David E.;  Ho, Yung Shwen;  Lightfoot, Damien J.;  Schmockel, Sandra M.;  Li, Bo;  Borm, Theo J. A.;  Ohyanagi, Hajime;  Mineta, Katsuhiko;  Michell, Craig T.;  Saber, Noha;  Kharbatia, Najeh M.;  Rupper, Ryan R.;  Sharp, Aaron R.;  Dally, Nadine;  Boughton, Berin A.;  Woo, Yong H.;  Gao, Ge;  Schijlen, Elio G. W. M.;  Guo, Xiujie;  Momin, Afaque A.;  Negrao, Sonia;  Al-Babili, Salim;  Gehring, Christoph;  Roessner, Ute;  Jung, Christian;  Murphy, Kevin;  Arold, Stefan T.;  Gojobori, Takashi;  van der Linden, C. Gerard;  van Loo, Eibertus N.;  Jellen, Eric N.;  Maughan, Peter J.;  Tester, Mark
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/09
The genome of Chenopodium quinoa 期刊论文
NATURE, 2017, 542 (7641) : 307-+
作者:  Jarvis, David E.;  Ho, Yung Shwen;  Lightfoot, Damien J.;  Schmockel, Sandra M.;  Li, Bo;  Borm, Theo J. A.;  Ohyanagi, Hajime;  Mineta, Katsuhiko;  Michell, Craig T.;  Saber, Noha;  Kharbatia, Najeh M.;  Rupper, Ryan R.;  Sharp, Aaron R.;  Dally, Nadine;  Boughton, Berin A.;  Woo, Yong H.;  Gao, Ge;  Schijlen, Elio G. W. M.;  Guo, Xiujie;  Momin, Afaque A.;  Negrao, Sonia;  Al-Babili, Salim;  Gehring, Christoph;  Roessner, Ute;  Jung, Christian;  Murphy, Kevin;  Arold, Stefan T.;  Gojobori, Takashi;  van der Linden, C. Gerard;  van Loo, Eibertus N.;  Jellen, Eric N.;  Maughan, Peter J.;  Tester, Mark
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09