首页 | 本学科首页   官方微博 | 高级检索  
     


Weighted and unweighted network of amino acids within protein
Affiliation:1. Scuola Normale Superiore, Piazza dei Cavalieri 7, I-56126 Pisa, Italy;2. Istituto Nazionale di Fisica Nucleare (INFN) sezione di Pisa, Largo Bruno Pontecorvo 3, 56127 Pisa, Italy;1. Mass Spectrometry Laboratory and GlycoLab, Department of Proteomics, Center for Genetic Engineering and Biotechnology, PO Box 6162, Havana, Cuba;2. Unit for Invertebrate Toxins, Venezuelan Institute for Scientific Research, PO Box 20632, Caracas 1020A, Venezuela;3. Coordinación de Vigilancia Entomológica, Gerencia de Saneamiento Ambiental y Control de Endemias, FUNDASALUD, Carúpano, Estado Sucre, Venezuela;4. Bioinformatic Department, Center for Genetic Engineering and Biotechnology, PO Box 6162, Havana, Cuba;5. Proteomics Unit, Center of Structural Biology, Venezuelan Institute for Scientific Research, PO Box 20632, Caracas 1020A, Venezuela;6. IIBCE y Unidad de Bioquímica y Proteómica Analíticas, Institut Pasteur de Montevideo, Mataojo 2020, Montevideo, Uruguay;1. Laboratoroire de Retrovirologie, Centre de Recherche Public de la Santé, 84, Val Fleuri, L-1526 Luxembourg, Luxembourg;2. Service National des Maladies Infectieuses, Centre Hospitalier Luxembourg, 4, rue E. Barblé, L-1210 Luxembourg, Luxembourg
Abstract:The information regarding the structure of a single protein is encoded in the network of interacting amino acids considered as nodes. If any two atoms from two different amino acids (nodes) are within higher cut-off distance of London-van der Waals forces, the amino acids are considered to be linked or connected. Several atoms of any amino acids in a protein may be within the above prescribed distance of several atoms of another amino acid resulting in possible multiple links between them. These multiple links are the basis of the weight of the connectivity in a protein network. Each protein has been considered as a weighted and an unweighted network of amino acids. A total of forty nine protein structures that covers the three branches of life on earth has been analyzed and several network properties have been studied. The probability degree and strength distributions of network connectivity have been obtained. It has been observed that the average strength of amino acid node depends on its degree. The results show that the average clustering coefficient of weighted network is less than that of unweighted network. It implies that the topological clustering is generated by edges with low weights. The power-law behavior of clustering coefficients of weighted and unweighted networks as a function of degree indicates that they have signatures of hierarchy. It has also been observed that the network is of assortative type.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号