DocumentCode :
599181
Title :
CryoEM skeleton length estimation using a decimated curve
Author :
McKnight, A. ; Nasr, K.A. ; Dong Si ; Chernikov, A. ; Chrisochoides, Nikos ; Jing He
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
fYear :
2012
fDate :
4-7 Oct. 2012
Firstpage :
109
Lastpage :
113
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.
Keywords :
biological techniques; biology computing; electron microscopy; geometry; image resolution; molecular biophysics; molecular configurations; proteins; 3-dimensional images; accuracy measurement; biophysical technique; computational geometric approach; cryoEM 3D images resolutions; cryoEM skeleton length estimation; cryoelectron microscopy; de novo modeling; decimated curve; distance measurement; protein atomic structure; thin skeleton; Amino acids; Approximation methods; Estimation; Image resolution; Proteins; Skeleton; Topology; Skeleton; computational geometry; electron microscopy; length; protein;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2746-6
Electronic_ISBN :
978-1-4673-2744-2
Type :
conf
DOI :
10.1109/BIBMW.2012.6470283
Filename :
6470283
Link To Document :
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