Abstract
Due to advances in structural biology, an increasing number of protein structures of unknown function have been deposited in Protein Data Bank (PDB). These proteins are usually characterized by novel structures and sequences. Conventional comparative methodology (such as sequence alignment, structure comparison, or template search) is unable to determine their function. Thus, it is important to identify proteins function directly from its structure, but this is not an easy task. One of the strategies used is to analyze whether there are distinctive structure-derived features associated with functional residues. If so, one may be able to identify the functional residues directly from a single structure. Recently, we have shown that protein weighted contact number is related to atomic thermal fluctuations and can be used to derive motional correlations in proteins. In this report, we analyze the weighted contact-number profiles of both catalytic residues and non-catalytic residues for a dataset of 760 structures. We found that catalytic residues have distinct distributions of weighted contact numbers from those of non-catalytic residues. Using this feature, we are able to effectively differentiate catalytic residues from other residues with a single optimized threshold value. Our method is simple to implement and compares favourably with other more sophisticated methods. In addition, we discuss the physics behind the relationship between catalytic residues and their contact numbers as well as other features (such as residue centrality or B-factors) associated with catalytic residues.
Keywords: Protein active sites, catalytic residue, weighted contact number, crystallization techniques, instrumentation techniques, PDB, novel structures, homologous structures, aforementioned, B-factors
Current Protein & Peptide Science
Title: On the Relationship Between Catalytic Residues and their Protein Contact Number
Volume: 12 Issue: 6
Author(s): Shao-Wei Huang, Sung-Huan Yu, Chien-Hua Shih, Huei-Wen Guan, Tsun-Tsao Huang and Jenn-Kang Hwang
Affiliation:
Keywords: Protein active sites, catalytic residue, weighted contact number, crystallization techniques, instrumentation techniques, PDB, novel structures, homologous structures, aforementioned, B-factors
Abstract: Due to advances in structural biology, an increasing number of protein structures of unknown function have been deposited in Protein Data Bank (PDB). These proteins are usually characterized by novel structures and sequences. Conventional comparative methodology (such as sequence alignment, structure comparison, or template search) is unable to determine their function. Thus, it is important to identify proteins function directly from its structure, but this is not an easy task. One of the strategies used is to analyze whether there are distinctive structure-derived features associated with functional residues. If so, one may be able to identify the functional residues directly from a single structure. Recently, we have shown that protein weighted contact number is related to atomic thermal fluctuations and can be used to derive motional correlations in proteins. In this report, we analyze the weighted contact-number profiles of both catalytic residues and non-catalytic residues for a dataset of 760 structures. We found that catalytic residues have distinct distributions of weighted contact numbers from those of non-catalytic residues. Using this feature, we are able to effectively differentiate catalytic residues from other residues with a single optimized threshold value. Our method is simple to implement and compares favourably with other more sophisticated methods. In addition, we discuss the physics behind the relationship between catalytic residues and their contact numbers as well as other features (such as residue centrality or B-factors) associated with catalytic residues.
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Cite this article as:
Huang Shao-Wei, Yu Sung-Huan, Shih Chien-Hua, Guan Huei-Wen, Huang Tsun-Tsao and Hwang Jenn-Kang, On the Relationship Between Catalytic Residues and their Protein Contact Number, Current Protein & Peptide Science 2011; 12 (6) . https://dx.doi.org/10.2174/138920311796957676
DOI https://dx.doi.org/10.2174/138920311796957676 |
Print ISSN 1389-2037 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5550 |

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