A Kinetic Model Describing the Processivity of Myosin-V
K. I. Skau, R. B. Hoyle, M. S Turner
Abstract
The precise details of how myosin-V coordinates the biochemical reactions and mechanical motions of its two head elements to engineer effective processive molecular motion along actin filaments remain unresolved. We compare a quantitative kinetic model of the myosin-V walk, consisting of five basic states augmented by two further states to allow for futile hydrolysis and detachments, with experimental results for run lengths, velocities, and dwell times and their dependence on bulk nucleotide concentrations and external loads in both directions. The model reveals how myosin-V can use the internal strain in the molecule to synchronise the motion of the head elements. Estimates for the rate constants in the reaction cycle and the internal strain energy are obtained by a computational comparison scheme involving an extensive exploration of the large parameter space. This scheme exploits the fact that we have obtained analytic results for our reaction network, e.g. for the velocity but also the run length, diffusion constant and fraction of backward steps. The agreement with experiment is often reasonable but some open problems are highlighted, in particular the inability of such a general model to reproduce the reported dependence of run length on ADP. The novel way that our approach explores parameter space means that any confirmed discrepancies should give new insights into the reaction network model.
Create a lesson
Related papers
A meta-algorithm for ab initio reconstruction of complex mixtures in cryo-EM
Alkin Kaz, Arda Kaz, Ellen D. Zhong
PHASE: encoding global protein ensembles with local Hamiltonians and all-atom backmapping
Daniele Angioletti, Marco Nobile, Matteo Carli et al.
Analysis of correlations of dwell-times of adjacent kinetic states in the activity of the cold and menthol receptor TRPM8
Ogloblya O. V., Moroz O. F., Zholos A.
Multitask Bayesian Neural Networks for Multiparameter Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Desiree Wyrzykala et al.
Recovering protein conformations from single-particle cryo-EM data via indirect shape matching gradient flows
Erik Jansson, Jonathan Krook, Ozan Öktem et al.
Is Retrieval All You Need? Assessment and Emergence of Novelty in Protein Structure Generation
Tongyue Xu, Yijie Zhang, Mutian He et al.