Development of a Software Tool for Protein Secondary Structure Detection from Electron Density Maps from Cryo-Electron Microscopy
Description/Abstract/Artist Statement
The accuracy of the secondary structure identification from volumetric protein density maps is critical for de-novo backbone structure derivation in electron cryo-microscopy (cryoEM). It is still challenging to detect the SSE automatically and accurately from the density maps at medium resolutions. Various computational methods exist in secondary structure detection with strength and weaknesses. The goal of this work is to combine two computational methods SSETracer and Voltrac in one software tool for enhanced detection. A framework of a user-interactive software tool has been established incorporating the strength from the above two methods.
Presentation Type
Event
Location
Learning Commons @ Perry Library, Conference Room 1310
Start Date
2-18-2017 10:15 AM
End Date
2-18-2017 11:15 AM
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Development of a Software Tool for Protein Secondary Structure Detection from Electron Density Maps from Cryo-Electron Microscopy
Learning Commons @ Perry Library, Conference Room 1310
The accuracy of the secondary structure identification from volumetric protein density maps is critical for de-novo backbone structure derivation in electron cryo-microscopy (cryoEM). It is still challenging to detect the SSE automatically and accurately from the density maps at medium resolutions. Various computational methods exist in secondary structure detection with strength and weaknesses. The goal of this work is to combine two computational methods SSETracer and Voltrac in one software tool for enhanced detection. A framework of a user-interactive software tool has been established incorporating the strength from the above two methods.
Comments
Mentor: Drs. Jing He, and Willy Wriggers