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Fractal analysis of measure representation of large proteins based on the detailed HP model

Zu-Guo Yu, Vo Anh and Ka-Sing Lau

Physica A: Statistical Mechanics and its Applications, 2004, vol. 337, issue 1, 171-184

Abstract: The notion of measure representation of protein sequences is introduced based on the detailed HP model. Multifractal analysis and detrended fluctuation analysis are then performed on the measure representations of a large number of long protein sequences. It is concluded that these protein sequences are not completely random sequences through the measure representations and the values of the Dq spectra and related Cq curves. The values of the exponent from the detrended fluctuation analysis show that the K-strings with the ordering in the measure representation exhibit strong long-range correlation. For substrings with length K=5, the Dq spectra of all proteins studied are multifractal-like and sufficiently smooth for the Cq curves to be meaningful. The Cq curves of all proteins resemble a classical phase transition at a critical point. An IFS model is found to simulate the measure representation of protein sequences very well. From the estimated values of parameters in the IFS model, we think the non-polar residues and uncharged polar residues play a more important role than other kinds of residues in the protein folding process.

Keywords: Measure representation; Detrended fluctuation analysis; Multifractal analysis; Analogous specific heat; IFS model (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:337:y:2004:i:1:p:171-184

DOI: 10.1016/j.physa.2004.01.057

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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