Paper
25 May 2004 Non-Gaussian statistics of the vibrational fluctuations of myoglobin and the thermal fluctuations of myoglobin hydration
Jack A. Tuszynski, Tyler Luchko, Eric J. Carpenter, J. M. Dixon, M. Peyrard, Yves Engelborghs
Author Affiliations +
Proceedings Volume 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II; (2004) https://doi.org/10.1117/12.548420
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain
Abstract
Experiments on the dynamics of vibrational fluctuations in myoglobin revealed an interesting behavioral cross-over occurring in the range of 180-200 K. In this temperature range the mean square displacement of atomic positions versus temperature sharply increases its slope indicating the dissociation of CO from the haeme group. In this paper we develop a theoretical framework for the description of this phenomenon assuming the existence of an effective quartic potential. We then use non-Gaussian statistics to obtain a relationship between the mean square displacement and model parameters. We compare our model to published experimental data using a physically meaningful parameter fit. While the Gaussian approximation's applicability is verified by the low-temperature régime, in the high-temperature limit deviations from the Gaussian approximation are due to the double-well nature of our effective potential. In the second part of the paper we summarize our molecular dynamics simulations of the myoglobin's hydration in the low-temperature régime and at room temperature.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jack A. Tuszynski, Tyler Luchko, Eric J. Carpenter, J. M. Dixon, M. Peyrard, and Yves Engelborghs "Non-Gaussian statistics of the vibrational fluctuations of myoglobin and the thermal fluctuations of myoglobin hydration", Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); https://doi.org/10.1117/12.548420
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KEYWORDS
Proteins

Chemical species

Molecules

Data modeling

Iron

Crystals

Picosecond phenomena

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