Myosin-V as a Mechanical Sensor: An Elastic Network Study
by Markus Düttmann, Yuichi Togashi, Toshio Yanagida, Alexander Mikhailov
Year:
2012
Publication:
Biophysical Journal
Abstract:
According to recent experiments, the molecular-motor myosin behaves like a strain sensor, exhibiting different functional responses when loads in opposite directions are applied to its tail. Within an elastic-network model, we explore the sensitivity of the protein to the forces acting on the tail and find, in agreement with experiments, that such forces invoke conformational changes that should affect filament binding and ADP release. Furthermore, conformational responses of myosin to the application of forces to individual residues in its principal functional regions are systematically investigated and a detailed sensitivity map of myosin-V is thus obtained. The results suggest that the strain-sensor behavior is involved in the intrinsic operation of this molecular motor.
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Brief introduction of the dida co-author(s) and relevance for dida's ML developments.
About the Co-Author
Markus is a physicist and entrepreneur with a deep understanding of mathematics, statistics, and machine learning. He leverages his unique background to guide dida’s clients toward data-driven solutions that optimize their operations and maximize impact.
Prior to dida, Markus founded the programmatic buying platform realzeit and focused on software and deep tech investments at the venture capital firms Nauta Capital and DTCF.