Network theory has a broad spectrum of application including biological science. In the present study, we have analyzed hydrophobic and hydrophilic amino acids’ network based on mutation. To analyze the relative importance of the amino acids, we have discussed different measures of centrality and investigated the correlation coefficients between these measures. We have also dealt with clustering coefficient. Finally, we have discussed the degree of distribution as well as skewness for the networks.
AftabuddinMd.KunduS. (2007). Hydrophobic, hydrophilic, and charged amino acid networks within protein. Biophysical Journal, 93, 225–231.
2.
BaglerG.SinhaS. (2007). Assortative mixing in protein contact networks and protein folding kinetics. Bioinformatics, 23, 1760–1767.
3.
BalakrishnanJ. (2002). Symmetry scheme for amino acid codons. Physical Review E, 021912-5.
4.
BonacichP. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2, 113–120.
5.
FellD.A.WagnerA. (2000). The small world of metabolism. Nature Biotechnology, 18, 1121–1122.
6.
FreemanL. (1979). Centrality in social networks, conceptual classification. Social Networks, 1, 215–239.
7.
GreeneL.H.HigmanV.A. (2003). Uncovering network systems with in protein structures. Journal of Molecular Biology, 334(4), 781–791.
8.
HahnM.W.ConantG.WagnerA. (2002). Molecular evolution in large genetic networks: Connectivity does not equal importance. Technical report, Santa Fe Institute, 02-08-039.
9.
JiaoX.ChangS.LiC.ChenW.WangC. (2007). Construction and application of the weighted amino acid network based on energy. Physical Review E, 75, 051903.
10.
KunduS. (2005). Amino acid network with in protein. Physica A, 346, 104–109.
NewmanM.E.J. (2005). A measure of betweenness centrality based on random walks. Social Networks, 27(1), 39–54.
13.
SanchezR.MorgadoE.GrauR. (2005). Gene algebra from a genetic code algebra structure. Journal of Mathematical Biology, 51(4), 431–457.
14.
SchreiberF.KoschutzkiD. (2004). Comparison of centralites for biological networks. Proceedings of the German conference on Bioinformatics (GCB) P-53 of LNI.
15.
SenguptaD.KunduS. (2012). Role of long and short range hydrophobic, hydrophilic and charged residues contact network in protein’s structural organization. BMC Bioinformatics, 13, 142.
16.
WuchtyS.StadlerP.F. (2003). Centers of complex networks. Journal of Theoretical Biology, 223, 45–53.