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Approximate scaling properties of RNA free energy landscapesRNA free energy landscapes are analysed by means of "time-series" that are obtained from random walks restricted to excursion sets. The power spectra, the scaling of the jump size distribution, and the scaling of the curve length measured with different yard stick lengths are used to describe the structure of these "time series". Although they are stationary by construction, we find that their local behavior is consistent with both AR(1) and self-affine processes. Random walks confined to excursion sets (i.e., with the restriction that the fitness value exceeds a certain threshold at each step) exhibit essentially the same statistics as free random walks. We find that an AR(1) time series is in general approximately self-affine on timescales up to approximately the correlation length. We present an empirical relation between the correlation parameter rho of the AR(1) model and the exponents characterizing self-affinity.
Document ID
20040174931
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Baskaran, S.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Stadler, P. F.
Schuster, P.
Date Acquired
August 22, 2013
Publication Date
August 21, 1996
Publication Information
Publication: Journal of theoretical biology
Volume: 181
Issue: 4
ISSN: 0022-5193
Subject Category
Life Sciences (General)
Distribution Limits
Public
Copyright
Other

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