Efficient shape descriptors for feature extraction in 3D protein structures
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Date
2007
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Abstract
Structural Genomics initiatives are generating an increasing number of protein structures with very limited biochemical characterization. Characterization of a protein's function and understanding the specific nature of a protein's binding is a critical part of both protein engineering and structure-based drug discovery. The accurate detection of binding site in these protein structures can be valuable in determining its function. As shape plays a crucial role in bimolecular recognition and function, the development of shape analysis techniques is important for understanding protein structure-function relationships. This paper describes the use of the continuous wavelet transforms (CWT) for characterizing shape features of 3D protein structures. The goal is to explore the CWT as a multiscale tool to generate rotation- and translation-invariant shape features. © 2007 IOS Press. All rights reserved.
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Keywords
proteinase, accuracy, analytic method, article, binding site, continuous wavelet transform, controlled study, drug research, enzyme active site, enzyme structure, Human immunodeficiency virus 1, mathematical computing, molecular recognition, nonhuman, normal distribution, protein binding, protein engineering, protein function, protein secondary structure, signal processing, structural genomics, validation study, Algorithms, Amino Acids, Binding Sites, Computer Simulation, Ligands, Models, Chemical, Protein Binding, Protein Conformation, Proteins, Software, Structure-Activity Relationship
Citation
In Silico Biology, 2007, 7, 2, pp. 169-174