2007 Frontiers in the Convergence of Bioscience and Information Technologies Resonant Recognition Model for Prediction of 'Lead-In Regions' in Proteins Jeju Island, Korea October 11-October 13 ISBN: 978-0-7695-2999-8
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.32
In this study, the resonant recognition model (RRM), was developed to locate the so called `lead-in regions' or residues that contribute to the creation of the environment that enables proteins to perform their complex functions. The RRM is a physical and mathematical model and provides a significant correlation between spectra of numerical presentation of amino acids and their biological activity. We developed a preliminary model for this purpose and applied it on two well characterized classes of enzymes viz., human proteases and kinases. The results obtained (positions of `lead-in residues' in the primary structure of the proteins) were used in association with the 3D-structure data of the proteins for the purpose of predicting the catalytic residue of the enzyme. Key Words: Catalytic site: lead-in-regions; Protein coding; Resonant recognition model (RRM)
Citation:
Mohenish Jaiswal, SR Mahadeva Prasanna, Latha Rangan, "Resonant Recognition Model for Prediction of 'Lead-In Regions' in Proteins," fbit, pp.101-106, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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