CryoEM skeleton length estimation using a decimated curve

Andrew McKnight, Kamal Al Nasr, Dong Si, Andrey Chernikov, Nikos Chrisochoides, Jing He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Cryo-electron Microscopy (cryoEM) is an important biophysical technique that produces 3-dimensional (3D) images at different resolutions. De novo modeling is becoming a promising approach to derive the atomic structure of proteins from the cryoEM 3D images at medium resolutions. Distance measurement along a thin skeleton in the 3D image is an important step in de novo modeling. In spite of the need of such measurement' little has been investigated about the accuracy of the measurement in searching for an effective method. We propose a new computational geometric approach to estimate the distance along the skeleton. Our preliminary test results show that the method was able to estimate fairly well in eleven cases.

Original languageEnglish (US)
Title of host publicationProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Pages109-113
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 - Philadelphia, PA, United States
Duration: Oct 4 2012Oct 7 2012

Publication series

NameProceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012

Conference

Conference2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012
Country/TerritoryUnited States
CityPhiladelphia, PA
Period10/4/1210/7/12

Keywords

  • computational geometry
  • electron microscopy
  • length
  • protein
  • Skeleton

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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