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Structure of nevanimibe-bound tetrameric human ACAT1 期刊论文
NATURE, 2020, 581 (7808) : 339-U214
作者:  Ma, Xiyu;  Claus, Lucas A. N.;  Leslie, Michelle E.;  Tao, Kai;  Wu, Zhiping;  Liu, Jun;  Yu, Xiao;  Li, Bo;  Zhou, Jinggeng;  Savatin, Daniel V.;  Peng, Junmin;  Tyler, Brett M.;  Heese, Antje;  Russinova, Eugenia;  He, Ping;  Shan, Libo
收藏  |  浏览/下载:28/0  |  提交时间:2020/07/03

The structure of human ACAT1 in complex with the inhibitor nevanimibe is resolved by cryo-electron microscopy.


Cholesterol is an essential component of mammalian cell membranes, constituting up to 50% of plasma membrane lipids. By contrast, it accounts for only 5% of lipids in the endoplasmic reticulum (ER)(1). The ER enzyme sterol O-acyltransferase 1 (also named acyl-coenzyme A:cholesterol acyltransferase, ACAT1) transfers a long-chain fatty acid to cholesterol to form cholesteryl esters that coalesce into cytosolic lipid droplets. Under conditions of cholesterol overload, ACAT1 maintains the low cholesterol concentration of the ER and thereby has an essential role in cholesterol homeostasis(2,3). ACAT1 has also been implicated in Alzheimer'  s disease(4), atherosclerosis(5) and cancers(6). Here we report a cryo-electron microscopy structure of human ACAT1 in complex with nevanimibe(7), an inhibitor that is in clinical trials for the treatment of congenital adrenal hyperplasia. The ACAT1 holoenzyme is a tetramer that consists of two homodimers. Each monomer contains nine transmembrane helices (TMs), six of which (TM4-TM9) form a cavity that accommodates nevanimibe and an endogenous acyl-coenzyme A. This cavity also contains a histidine that has previously been identified as essential for catalytic activity(8). Our structural data and biochemical analyses provide a physical model to explain the process of cholesterol esterification, as well as details of the interaction between nevanimibe and ACAT1, which may help to accelerate the development of ACAT1 inhibitors to treat related diseases.


  
The molecular basis for sugar import in malaria parasites 期刊论文
NATURE, 2020, 578 (7794) : 321-+
作者:  Zhao, Peishen;  Liang, Yi-Lynn;  Belousoff, Matthew J.;  Deganutti, Giuseppe;  Fletcher, Madeleine M.;  Willard, Francis S.;  Bell, Michael G.;  Christe, Michael E.;  Sloop, Kyle W.;  Inoue, Asuka;  Truong, Tin T.;  Clydesdale, Lachlan;  Furness, Sebastian G. B.;  Christopoulos, Arthur;  Wang, Ming-Wei;  Miller, Laurence J.;  Reynolds, Christopher A.;  Danev, Radostin;  Sexton, Patrick M.;  Wootten, Denise
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/03

Elucidating the mechanism of sugar import requires a molecular understanding of how transporters couple sugar binding and gating events. Whereas mammalian glucose transporters (GLUTs) are specialists(1), the hexose transporter from the malaria parasite Plasmodium falciparum PfHT1(2,3) has acquired the ability to transport both glucose and fructose sugars as efficiently as the dedicated glucose (GLUT3) and fructose (GLUT5) transporters. Here, to establish the molecular basis of sugar promiscuity in malaria parasites, we determined the crystal structure of PfHT1 in complex with d-glucose at a resolution of 3.6 angstrom. We found that the sugar-binding site in PfHT1 is very similar to those of the distantly related GLUT3 and GLUT5 structures(4,5). Nevertheless, engineered PfHT1 mutations made to match GLUT sugar-binding sites did not shift sugar preferences. The extracellular substrate-gating helix TM7b in PfHT1 was positioned in a fully occluded conformation, providing a unique glimpse into how sugar binding and gating are coupled. We determined that polar contacts between TM7b and TM1 (located about 15 angstrom from d-glucose) are just as critical for transport as the residues that directly coordinate d-glucose, which demonstrates a strong allosteric coupling between sugar binding and gating. We conclude that PfHT1 has achieved substrate promiscuity not by modifying its sugar-binding site, but instead by evolving substrate-gating dynamics.


Crystal structure of the Plasmodium falciparum hexose transporter PfHT1 reveals the molecular basis of its ability to transport multiple types of sugar as efficiently as the dedicated mammalian glucose and fructose transporters.


  
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).


  
Influence of Atmospheric Transport on Estimates of Variability in the Global Methane Burden 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (4) : 2302-2311
作者:  Pandey, Sudhanshu;  Houweling, Sander;  Krol, Maarten;  Aben, Ilse;  Nechita-Banda, Narcisa;  Thoning, Kirk;  Rockmann, Thomas;  Yin, Yi;  Segers, Arjo;  Dlugokencky, Edward J.
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/09
atmospheric transport  methane  atmospheric burden  CH4 emissions  interhemispheric difference  TM5  
A Framework for Estimating the 30 m Thermal-Infrared Broadband Emissivity From Landsat Surface Reflectance Data 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (21)
作者:  Cheng, Jie;  Liu, Hao;  Liang, Shunlin;  Nie, Aixiu;  Liu, Qiang;  Guo, Yamin
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
broadband emissivity  radiative transfer model  4SAIL  Landsat  TM  ASTER