Abstract
36 mutants of the Sulfolobus solfataricus amidase were analyzed by comparing biochemical data to structural data obtained by a learning machine. The analysis shows that beside well known catalytic residues, amino acid residues Arg197, Lys209 and Asp228 are important for the catalytic activity of the signature thermophilic amidase.
Keywords: Functional residues, amidase, machine learning, SVM, FRAP
Protein & Peptide Letters
Title: Identification of the Amino Acid Residues Affecting the Catalytic Pocket of the Sulfolobus solfataricus Signature Amidase
Volume: 17 Issue: 2
Author(s): Cilia Elisa and Ammendola Sergio
Affiliation:
Keywords: Functional residues, amidase, machine learning, SVM, FRAP
Abstract: 36 mutants of the Sulfolobus solfataricus amidase were analyzed by comparing biochemical data to structural data obtained by a learning machine. The analysis shows that beside well known catalytic residues, amino acid residues Arg197, Lys209 and Asp228 are important for the catalytic activity of the signature thermophilic amidase.
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Cite this article as:
Elisa Cilia and Sergio Ammendola, Identification of the Amino Acid Residues Affecting the Catalytic Pocket of the Sulfolobus solfataricus Signature Amidase, Protein & Peptide Letters 2010; 17 (2) . https://dx.doi.org/10.2174/092986610790226021
DOI https://dx.doi.org/10.2174/092986610790226021 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
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