A Method for Characterization of β-strand Twist from a 3-Dimensional Image of a Protein
Tunazzina Islam, Michael Poteat, Jing He. Computational Structural Bioinformatics Workshop (CSBW) 2017 in conjunction with 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2017, pp. 650-654.
Abstract
Electron cryo-microscopy (Cryo-EM) technique produces density maps that are 3-dimensional (3D) images of molecules. It is challenging to derive atomic structures of proteins from 3D images of medium resolutions. Twist of a β-strand has been studied extensively while little of the known information has been directly obtained from the 3D image of a β-sheet. We describe a method to characterize the twist of β-strands from the 3D image of a protein. An analysis of 11 β-sheet images shows that the Averaged Minimum Twist (AMT) angle is larger for a close set than for a far set of β-traces.