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DC Field | Value | Language |
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dc.contributor.author | Ranganath, A. | |
dc.contributor.author | Shet, K.C.S. | |
dc.contributor.author | Vidyavathi, N. | |
dc.date.accessioned | 2020-03-31T08:23:24Z | - |
dc.date.available | 2020-03-31T08:23:24Z | - |
dc.date.issued | 2007 | |
dc.identifier.citation | In Silico Biology, 2007, Vol.7, 2, pp.169-174 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/10936 | - |
dc.description.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. | en_US |
dc.title | Efficient shape descriptors for feature extraction in 3D protein structures | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
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