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1
Intro
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Structures of membrane proteins
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Excitation-contraction coupling in skeletal muscle
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Sample purification workflow
5
Structure of RyR1 in native membranes
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Structure of RyR1 at the resolution of secondary structure
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Comparison to the other reported structures of RyR1
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Subtomogram averaging is successful for a class of molecules
9
Throughput considerations
10
More options for particle picking with user assistance
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Benchmarking tomoBEAR
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Optimizing subtomogram averaging
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Substack analysis with SUSAN
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CTF estimation module in SUSAN - "normalization"
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CTF estimation module in SUSAN - "linearization"
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3D reconstruction in SUSAN
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Benchmarking SUSAN
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Conclusions and outlook
Description:
Explore high-throughput, high-performance algorithms for high-resolution subtomogram averaging in this 47-minute conference talk by Mikhail Kudryashev from the Stiftung Max-Delbrück-Centrum für Molekulare Medizin. Delve into the powerful method of subtomogram averaging from cryo-electron tomograms for determining macromolecular structures in their native state. Discover the tools developed for in situ structural biology, including TomoBEAR for near-automated tomographic processing and SUSAN for high-performance computing. Learn about applications to protein lattices, coats, ribosomes, and membrane proteins, with a focus on overcoming throughput and processing time bottlenecks. Examine the structure of an ion channel determined at side-chain resolution using these advanced tools. Gain insights into sample purification, excitation-contraction coupling in skeletal muscle, and the structure of RyR1 in native membranes. Compare reported structures of RyR1 and explore optimization techniques for subtomogram averaging, including CTF estimation and 3D reconstruction modules in SUSAN. Read more

High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging

Institute for Pure & Applied Mathematics (IPAM)
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