Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps

Joint Authors

Si, Dong
He, Jing

Source

BioMed Research International

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

Medicine

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