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Curr Protoc Bioinformatics. 2017 Dec 8;60:3.14.1-3.14.15. doi: 10.1002/cpbi.37.

Protein 3D Structure and Electron Microscopy Map Retrieval Using 3D-SURFER2.0 and EM-SURFER.

Author information

1
Department of Biological Sciences, Purdue University, West Lafayette, Indiana.
2
Department of Computer Science, Purdue University, West Lafayette, Indiana.

Abstract

With the rapid growth in the number of solved protein structures stored in the Protein Data Bank (PDB) and the Electron Microscopy Data Bank (EMDB), it is essential to develop tools to perform real-time structure similarity searches against the entire structure database. Since conventional structure alignment methods need to sample different orientations of proteins in the three-dimensional space, they are time consuming and unsuitable for rapid, real-time database searches. To this end, we have developed 3D-SURFER and EM-SURFER, which utilize 3D Zernike descriptors (3DZD) to conduct high-throughput protein structure comparison, visualization, and analysis. Taking an atomic structure or an electron microscopy map of a protein or a protein complex as input, the 3DZD of a query protein is computed and compared with the 3DZD of all other proteins in PDB or EMDB. In addition, local geometrical characteristics of a query protein can be analyzed using VisGrid and LIGSITECSC in 3D-SURFER. This article describes how to use 3D-SURFER and EM-SURFER to carry out protein surface shape similarity searches, local geometric feature analysis, and interpretation of the search results.

KEYWORDS:

3D Zernike descriptors; electron microscopy map; local geometric feature; protein structure comparison; protein surface comparison

PMID:
29220075
PMCID:
PMC5726456
DOI:
10.1002/cpbi.37
[Indexed for MEDLINE]
Free PMC Article

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