Resolving the kinetics of an ensemble of muscle myosin motors via a temperature-dependent fitting procedure

TL;DR

This paper introduces a temperature-dependent data fitting method to accurately estimate the kinetic parameters of muscle myosin motor ensembles, enhancing understanding of muscle contraction mechanisms.

Contribution

It presents a novel fitting procedure that integrates stochastic modeling and temperature effects to analyze myosin motor ensemble kinetics.

Findings

Method accurately estimates kinetic parameters across temperature ranges.

Framework successfully tested on simulated nanomachine data.

Provides insights into force generation regimes of myosin motors.

Abstract

A data fitting procedure is devised and thoroughly tested to provide self-consistent estimates of the relevant mechanokinetic parameters involved in a plausible scheme underpinning the output of an ensemble of myosin II molecular motors mimicking the muscle contraction. The method builds on a stochastic model accounting for the force exerted by the motor ensemble operated both in the low and high force-generating regimes corresponding to different temperature ranges. The proposed interpretative framework is successfully challenged against simulated data, meant to mimic the experimental output of a unidimensional synthetic nanomachine powered by pure muscle myosin isoforms.