Exploring the correlation between the folding rates of proteins and the entanglement of their native states

被引:47
作者
Baiesi, Marco [1 ,2 ]
Orlandini, Enzo [1 ,2 ]
Seno, Flavio [1 ,2 ]
Trovato, Antonio [1 ,2 ]
机构
[1] Univ Padua, Dipartimento Fis & Astron Galileo Galilei, Via Marzolo 8, I-35131 Padua, Italy
[2] INFN, Sez Padova, Via Marzolo 8, I-35131 Padua, Italy
关键词
Protein native structure; folding rates; topology; linking number; SINGLE-DOMAIN PROTEINS; CONTACT ORDER; 2-STATE PROTEINS; RING POLYMERS; MECHANISMS; LINKING; PREDICTION; NUMBER; KNOTS; CONFORMATIONS;
D O I
10.1088/1751-8121/aa97e7
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The folding of a protein towards its native state is a rather complicated process. However, there is empirical evidence that the folding time correlates with the contact order, a simple measure of the spatial organization of the native state of the protein. Contact order is related to the average length of the main chain loops formed by amino acids that are in contact. Here we argue that folding kinetics can also be influenced by the entanglement that loops may undergo within the overall three-dimensional protein structure. In order to explore such a possibility, we introduce a novel descriptor, which we call 'maximum intrachain contact entanglement'. Specifically, we measure the maximum Gaussian entanglement between any looped portion of a protein and any other non-overlapping subchain of the same protein, which is easily computed by discretized line integrals on the coordinates of the C-alpha atoms. By analyzing experimental data sets of two-state and multi-state folders, we show that the new index is also a good predictor of the folding rate. Moreover, being only partially correlated with previous methods, it can be integrated with them to yield more accurate predictions.
引用
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页数:16
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共 61 条
[1]   Prediction of protein-folding mechanisms from free-energy landscapes derived from native structures [J].
Alm, E ;
Baker, D .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1999, 96 (20) :11305-11310
[2]   Linking of uniform random polygons in confined spaces [J].
Arsuaga, J. ;
Blackstone, T. ;
Diao, Y. ;
Karadayi, E. ;
Saito, M. .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2007, 40 (09) :1925-1936
[3]   Characterization of fold diversity among proteins with the same number of amino acid residues [J].
Arteca, GA ;
Tapia, O .
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES, 1999, 39 (04) :642-649
[4]   Linking in domain-swapped protein dimers [J].
Baiesi, Marco ;
Orlandini, Enzo ;
Trovato, Antonio ;
Seno, Flavio .
SCIENTIFIC REPORTS, 2016, 6
[5]   A surprising simplicity to protein folding [J].
Baker, D .
NATURE, 2000, 405 (6782) :39-42
[6]   Development of novel statistical potentials for protein fold recognition [J].
Buchete, NV ;
Straub, JE ;
Thirumalai, D .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2004, 14 (02) :225-232
[7]   Physical Links: defining and detecting inter-chain entanglement [J].
Caraglio, Michele ;
Micheletti, Cristian ;
Orlandini, Enzo .
SCIENTIFIC REPORTS, 2017, 7
[8]   Universality classes in folding times of proteins [J].
Cieplak, M ;
Hoang, TX .
BIOPHYSICAL JOURNAL, 2003, 84 (01) :475-488
[9]   A simple and efficient statistical potential for scoring ensembles of protein structures [J].
Cossio, Pilar ;
Granata, Daniele ;
Laio, Alessandro ;
Seno, Flavio ;
Trovato, Antonio .
SCIENTIFIC REPORTS, 2012, 2
[10]   Exploring the Universe of Protein Structures beyond the Protein Data Bank [J].
Cossio, Pilar ;
Trovato, Antonio ;
Pietrucci, Fabio ;
Seno, Flavio ;
Maritan, Amos ;
Laio, Alessandro .
PLOS COMPUTATIONAL BIOLOGY, 2010, 6 (11)