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探索蛋白质空腔的刚性分析。

Exploring Protein Cavities through Rigidity Analysis.

机构信息

Department of Computer Science, Western Washington University, 516 High Street, Bellingham, WA 98225, USA.

Department of Computer Science and Engineering, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA.

出版信息

Molecules. 2018 Feb 7;23(2):351. doi: 10.3390/molecules23020351.

DOI:10.3390/molecules23020351
PMID:29414909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6017401/
Abstract

The geometry of cavities in the surfaces of proteins facilitates a variety of biochemical functions. To better understand the biochemical nature of protein cavities, the shape, size, chemical properties, and evolutionary nature of functional and nonfunctional surface cavities have been exhaustively surveyed in protein structures. The rigidity of surface cavities, however, is not immediately available as a characteristic of structure data, and is thus more difficult to examine. Using rigidity analysis for assessing and analyzing molecular rigidity, this paper performs the first survey of the relationships between cavity properties, such as size and residue content, and how they correspond to cavity rigidity. Our survey measured a variety of rigidity metrics on 120,323 cavities from 12,785 sequentially non-redundant protein chains. We used VASP-E, a volume-based algorithm for analyzing cavity geometry. Our results suggest that rigidity properties of protein cavities are dependent on cavity surface area.

摘要

蛋白质表面腔的几何形状促进了各种生化功能。为了更好地理解蛋白质腔的生化性质,人们对蛋白质结构中的功能和非功能表面腔的形状、大小、化学性质和进化性质进行了详尽的调查。然而,由于表面腔的刚性不是结构数据的特征,因此更难以检查。本文使用刚性分析来评估和分析分子刚性,首次调查了腔特性(如大小和残基含量)与腔刚性之间的关系。我们的调查对来自 12785 条连续非冗余蛋白质链的 120323 个腔进行了各种刚性度量的测量。我们使用了基于体积的分析腔几何 VASP-E 算法。我们的结果表明,蛋白质腔的刚性特性取决于腔表面积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/45265e032e87/molecules-23-00351-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/a9c8ad4e5c6f/molecules-23-00351-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/38f53732c747/molecules-23-00351-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/1a15974918f8/molecules-23-00351-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/f67cb042934c/molecules-23-00351-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/7c3b12adc1c2/molecules-23-00351-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/41ba44d9a80e/molecules-23-00351-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/035a5243b584/molecules-23-00351-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/accde20adc48/molecules-23-00351-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/0106c4bdfb81/molecules-23-00351-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/891b891c9ae0/molecules-23-00351-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/a1d3012f55a1/molecules-23-00351-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/45265e032e87/molecules-23-00351-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/a9c8ad4e5c6f/molecules-23-00351-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/38f53732c747/molecules-23-00351-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/1a15974918f8/molecules-23-00351-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/f67cb042934c/molecules-23-00351-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/7c3b12adc1c2/molecules-23-00351-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/41ba44d9a80e/molecules-23-00351-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/035a5243b584/molecules-23-00351-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/accde20adc48/molecules-23-00351-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/0106c4bdfb81/molecules-23-00351-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/891b891c9ae0/molecules-23-00351-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/a1d3012f55a1/molecules-23-00351-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193a/6017401/45265e032e87/molecules-23-00351-g012.jpg

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本文引用的文献

1
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J Chem Theory Comput. 2008 Mar;4(3):435-47. doi: 10.1021/ct700301q.
2
VASP-E: specificity annotation with a volumetric analysis of electrostatic isopotentials.VASP-E:通过静电等势体体积分析进行特异性注释。
PLoS Comput Biol. 2014 Aug 28;10(8):e1003792. doi: 10.1371/journal.pcbi.1003792. eCollection 2014 Aug.
3
Dynamics of the antigen-binding grooves in CD1 proteins: reversible hydrophobic collapse in the lipid-free state.
计算结构生物学:成功、未来方向和挑战。
Molecules. 2019 Feb 12;24(3):637. doi: 10.3390/molecules24030637.
CD1 蛋白抗原结合槽的动力学:无脂状态下的可逆疏水性塌陷。
J Biol Chem. 2013 Jul 5;288(27):19528-36. doi: 10.1074/jbc.M113.470179. Epub 2013 May 15.
4
The composition of the F pocket in HLA-A*74 generates C-terminal promiscuity among its bound peptides.HLA-A*74中F口袋的组成在其结合肽之间产生了C末端混杂性。
Tissue Antigens. 2011 Nov;78(5):378-81. doi: 10.1111/j.1399-0039.2011.01745.x. Epub 2011 Jul 18.
5
Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction.使用多种计算方法识别蛋白质表面的腔,以预测药物结合位点。
Bioinformatics. 2011 Aug 1;27(15):2083-8. doi: 10.1093/bioinformatics/btr331. Epub 2011 Jun 2.
6
VASP: a volumetric analysis of surface properties yields insights into protein-ligand binding specificity.VASP:通过对表面性质的体积分析,可以深入了解蛋白质-配体结合的特异性。
PLoS Comput Biol. 2010 Aug 12;6(8):e1000881. doi: 10.1371/journal.pcbi.1000881.
7
Binding-site assessment by virtual fragment screening.通过虚拟片段筛选进行结合部位评估。
PLoS One. 2010 Apr 9;5(4):e10109. doi: 10.1371/journal.pone.0010109.
8
Fpocket: an open source platform for ligand pocket detection.Fpocket:一个用于配体口袋检测的开源平台。
BMC Bioinformatics. 2009 Jun 2;10:168. doi: 10.1186/1471-2105-10-168.
9
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J Med Chem. 2007 Feb 8;50(3):409-24. doi: 10.1021/jm0608107.
10
ET viewer: an application for predicting and visualizing functional sites in protein structures.ET查看器:一种用于预测和可视化蛋白质结构中功能位点的应用程序。
Bioinformatics. 2006 Aug 15;22(16):2049-50. doi: 10.1093/bioinformatics/btl285. Epub 2006 Jun 29.