Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Cryo-electron microscopy (cryo-EM) has produced density maps of various resolutions.
Although α-helices can be detected from density maps at 5–8 Å resolutions, β-strands are challenging to detect at such density maps due to close-spacing of β-strands.
The variety of shapes of β-sheets adds the complexity of β-strands detection from density maps.
We propose a new approach to model traces of β-strands for β-barrel density regions that are extracted from cryo-EM density maps.
In the test containing eight β-barrels extracted from experimental cryo-EM density maps at 5.5 Å–8.25 Å resolution, StrandRoller detected about 74.26% of the amino acids in the β-strands with an overall 2.05 Å 2-way distance between the detected β-traces and the observed ones, if the best of the fifteen detection cases is considered.
American Psychological Association (APA)
Si, Dong& He, Jing. 2017. Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps. BioMed Research International،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134190
Modern Language Association (MLA)
Si, Dong& He, Jing. Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps. BioMed Research International No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1134190
American Medical Association (AMA)
Si, Dong& He, Jing. Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1134190
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1134190