title: Shock detection in dynamics of single-headed motor proteins KIF1A via Jensen-Shannon divergence.
abstract: Information theoretic quantities are useful tools to characterize symbolic sequences. In this paper, we use the Jensen-Shannon divergence to study symbolic binary sequences that represent the stationary state of a lattice-gas model describing the traffic of monomeric kinesin KIF1A. More specifically, the constructed binary sequences represent the state of a microtubule protofilament at different adenosine triphosphate (ATP) and KIF1A motor concentrations in the cytosol. The model presents some stationary regimes with phase coexistence. By using the Jensen-Shannon divergence, we develop a method of analysis that allows us to identify cases in which phase coexistence occurs and, for these cases, to locate the position of the interphase that separates the regions with different phase.
authors.affiliation: Facultad de Matemática, Astronomía, y Física, Universidad Nacional de Córdoba and CONICET, Medina Allende s/n, Ciudad Universitaria, 5000 Córdoba, Argentina. sparacin@famaf.unc.edu.ar
authors.forename: J
authors.initials: J
authors.lastname: Sparacino
authors.forename: P W
authors.initials: PW
authors.lastname: Lamberti
authors.forename: C M
authors.initials: CM
authors.lastname: Arizmendi
mesh_terms: D003198:Computer Simulation; D016547:Kinesins / Q000737:chemistry* / Q000648:ultrastructure*; D008956:Models, Chemical; D008958:Models, Molecular; D020409:Molecular Motor Proteins / Q000737:chemistry* / Q000648:ultrastructure*; D009038:Motion; D011487:Protein Conformation; D013314:Stress, Mechanical
chemical_list: C094065:KIF1A protein, human; D020409:Molecular Motor Proteins; D016547:Kinesins