The quaternary question: Determining allostery in spastin through dynamics classification learning and bioinformatics

Area of Science:

• Biochemistry
• Molecular Biology
• Structural Biology

Background:

• Spastin is a AAA+ ATPase nanomachine essential for severing microtubules during cellular processes.
• Understanding spastin's allosteric regulation is crucial for elucidating its mechanical functions.

Purpose of the Study:

• To characterize the functionally important allostery in spastin using integrated computational methods.
• To identify key regions and pathways involved in spastin's conformational changes and ligand interactions.

Main Methods:

• Atomistic molecular dynamics simulations of spastin in monomeric and hexameric states.
• Machine learning for feature selection and state transition analysis.
• Graph-based network analysis for allosteric path identification.

Main Results:

• Machine learning identified known allosteric and functional regions in spastin.
• Spastin monomer favors ATP binding, priming inter-protomer interfaces.
• Allosteric pathways involve the ATP binding pocket and pore loop 3, crucial for force generation.

Conclusions:

• Ligand-induced changes in terminal protomers actively contribute to spastin's force generation.
• Degenerative secondary structures within network paths are critical for allosteric signaling.
• Findings guide the design of allosteric effectors to modulate spastin activity.