Abstract
Kinesin is a family of molecular motors that move unidirectionally along microtubules (MT) using ATP hydrolysis free energy. In the family, the conventional two-headed kinesin was experimentally characterized to move unidirectionally through “walking” in a hand-over-hand fashion by coordinated motions of the two heads. Interestingly a single-headed kinesin, a truncated KIF1A, still can generate a biased Brownian movement along MT, as observed by in vitro single molecule experiments. Thus, KIF1A must use a different mechanism from the conventional kinesin to achieve the unidirectional motions. Based on the energy landscape view of proteins, for the first time, we conducted a set of molecular simulations of the truncated KIF1A movements over an ATP hydrolysis cycle and found a mechanism exhibiting and enhancing stochastic forward-biased movements in a similar way to those in experiments. First, simulating stand-alone KIF1A, we did not find any biased movements, while we found that KIF1A with a large friction cargo-analog attached to the C-terminus can generate clearly biased Brownian movements upon an ATP hydrolysis cycle. The linked cargo-analog enhanced the detachment of the KIF1A from MT. Once detached, diffusion of the KIF1A head was restricted around the large cargo which was located in front of the head at the time of detachment, thus generating a forward bias of the diffusion. The cargo plays the role of a diffusional anchor, or cane, in KIF1A “walking.”
Highlights
Time dependent structural information is of central importance to understand detailed mechanisms of biomolecular systems
How KIF1A, with only one head, can generate the unidirectional movements driven by ATP-hydrolysis reaction is unclear in terms of structural dynamics, which we address in this paper by structure-based coarse grained MD (CGMD)
The simulation system contains 7 protein subunits: a KIF1A molecule that moves dynamically and three copies of tubulin ab dimers that were fixed in the form of a segment of single protofilament of MT (Fig. 1D)
Summary
Time dependent structural information is of central importance to understand detailed mechanisms of biomolecular systems. Due to their size and long time scale involved, atomistic MD cannot cover an entire cycle of molecular machines at the moment [1] To overcome this limitation, recently, we initiated to use structure-based coarse grained MD (CGMD) methods [2,3] to mimic the cycle of machines for the case of F1-ATPase and others [4,5]. We initiated to use structure-based coarse grained MD (CGMD) methods [2,3] to mimic the cycle of machines for the case of F1-ATPase and others [4,5] Most of these machines contain more than one ATPase domains and their coordinated dynamics are crucial to understand the mechanisms [6,7,8,9]. A single-headed kinesin, KIF1A, is an ideal target system, for which here we performed CGMD simulations mimicking an entire ATP hydrolysis cycle
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.