Improving Detection of Secondary Structures within Medium Resolution Cryo-EM Density Maps

Description/Abstract/Artist Statement

Cryo-electron microscopy is a biophysical technique in production of electron density maps that are 3-dimensional images. Although atomic structures can be derived from such images at high-resolution, it is still challenging to predict structures when the resolution of the image is at medium resolutions (5-10Å). Although computational methods are available to extract protein secondary structures from a medium-resolution image, they lack sufficient accuracy for structure prediction. This work aims to improve detection of secondary structures such as helices and β-sheets as compared to previous work SSETracer. Detection of these secondary structures is an important prior step for methods that perform further analysis, such as protein sequencing.

Presenting Author Name/s

Michael Poteat

Faculty Advisor/Mentor

Jing He

Presentation Type

Oral Presentation

Disciplines

Bioinformatics | Computer Sciences

Session Title

Biological Sciences 2 Presentations

Location

Learning Commons @ Perry Library Conference Room 1310

Start Date

2-3-2018 10:15 AM

End Date

2-3-2018 11:15 AM

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Feb 3rd, 10:15 AM Feb 3rd, 11:15 AM

Improving Detection of Secondary Structures within Medium Resolution Cryo-EM Density Maps

Learning Commons @ Perry Library Conference Room 1310

Cryo-electron microscopy is a biophysical technique in production of electron density maps that are 3-dimensional images. Although atomic structures can be derived from such images at high-resolution, it is still challenging to predict structures when the resolution of the image is at medium resolutions (5-10Å). Although computational methods are available to extract protein secondary structures from a medium-resolution image, they lack sufficient accuracy for structure prediction. This work aims to improve detection of secondary structures such as helices and β-sheets as compared to previous work SSETracer. Detection of these secondary structures is an important prior step for methods that perform further analysis, such as protein sequencing.