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Cooperative ligand binding to a double-stranded Ising lattice-Application to cofilin binding to actin filaments.
Cao, Wenxiang; Taylor, Edwin W; De La Cruz, Enrique M.
Affiliation
  • Cao W; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.
  • Taylor EW; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.
  • De La Cruz EM; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.
PNAS Nexus ; 2(10): pgad331, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37885622
ABSTRACT
Cooperative ligand binding to linear polymers is fundamental in many scientific disciplines, particularly biological and chemical physics and engineering. Such ligand binding interactions have been widely modeled using infinite one-dimensional (1D) Ising models even in cases where the linear polymers are more complex (e.g. actin filaments and other double-stranded linear polymers). Here, we use sequence-generating and transfer matrix methods to obtain an analytical method for cooperative equilibrium ligand binding to double-stranded Ising lattices. We use this exact solution to evaluate binding properties and features and analyze experimental binding data of cooperative binding of the regulatory protein, cofilin, to actin filaments. This analysis, with additional experimental information about the observed bound cofilin cluster sizes and filament structure, reveals that a bound cofilin promotes cooperative binding to its longitudinal nearest-neighbors but has very modest effects on lateral nearest-neighbors. The bound cofilin cluster sizes calculated from the best fit parameters from the double-stranded model are considerably larger than when calculated with the 1D model, consistent with experimental observations made by electron microscopy and fluorescence imaging. The exact solution obtained and the method for using the solution developed here can be widely used for analysis of variety of multistranded lattice systems.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PNAS Nexus Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PNAS Nexus Year: 2023 Document type: Article Affiliation country: United States