Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/10936
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dc.contributor.authorRanganath, A.
dc.contributor.authorShet, K.C.S.
dc.contributor.authorVidyavathi, N.
dc.date.accessioned2020-03-31T08:23:24Z-
dc.date.available2020-03-31T08:23:24Z-
dc.date.issued2007
dc.identifier.citationIn Silico Biology, 2007, Vol.7, 2, pp.169-174en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/10936-
dc.description.abstractStructural 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.en_US
dc.titleEfficient shape descriptors for feature extraction in 3D protein structuresen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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