Protein Secondary Structure Detection using Pattern Recognition and Modeling
Tunazzina Islam (Old Dominion University)
Electron cryo-microscopy (Cryo-EM) technique produces density maps that are 3-dimensional (3D) images of molecules. In order to derive atomic structure of molecules, molecular features need to be identified from 3D images. Some molecular features of a protein show characteristic patterns in the image, and others show weak patterns or no pattern. We describe an approach that uses a combination of pattern recognition and geometrical modeling to recognize protein secondary features including α-helices and β-strands. We show the principle of modeling to distinguish the orientation of β-strands that are not visible in 3D images at medium resolution.