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Modeling And Global Optimization In Biomolecular Systems

  • Panos M. Pardalos
  • Vitaliy Yatsenko
Chapter
Part of the Springer Optimization and Its Applications book series (SOIA, volume 11)

This chapter proposes an intelligent sensor based on pattern recognition techniques in a functional space of the fluorescence curves and bilinear models for a sensitive element. We consider new nonlinear and bilinear mathematical models of the dynamic self-organization phenomenon in photosynthetic reaction center photosynthetic reaction centers and ion channels (Allen et al., 1986; Deisenhofer et al., 1995; Shimazaki and Sugahara, 1980; Gaididei, Kharkyanen, and Chinarov, 1988; Chinarov et al., 1990, 1992; Shaitan et al., 1991; Gushcha et al., 1993, 1994; Mauzerall, Gunner, and Zhang, 1995; Yatsenko, 1996) . Section 7.1presents the results of a theoretical study of the dynamic self-organization phenomenon in a sensitive element which consists of the photosynthetic reaction centers (RC) from purple bacteria that are responsible for the stochastic effect in RC ensembles. The adiabatic approximation is applied to determine the specific role of slow structural (protein/cofactor) modes in...

Keywords

Reaction Center Conformational State Purple Bacterium Adiabatic Potential Intelligent Sensor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Panos M. Pardalos
    • 1
  • Vitaliy Yatsenko
    • 2
  1. 1.Department of Industrial and SystemsUniversity of FloridaGainesvilleU.S.A.
  2. 2.Institute of Space ResearchNASUKyivUkraine

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