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Effect of Hubs in Amino Acid Network on Iron Superoxide Dismutase Stability

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Based on structural information of iron superoxide dismutase (Fe-SOD), we constructed various types of Fe-SOD amino acid networks (Fe-SOD AANs). Analyses of the degree of distribution and "rich clubs" of these Fe-SOD AANs indicated that Fe-SOD AANs have highly interacting nodes, namely, the hubs. Interestingly, most hubs are hydrophobic amino acids including Ile, Leu, Phe, Ala and Val. These residues form a strong hydrophobic core that improves Fe-SOD structural stability. Most hubs are uniformly distributed in evolutionally conserved regular secondary structures to maintain Fe-SOD biological functionality. Moreover, a comparison of hubs in several Fe-SOD ANNs with different thermostability revealed that hydrophobic amino acids, such as Gly, Leu, and Phe, but not Gln and Thr, have more interactions and form hubs and is therefore conducive to a more highly hydrophobic core and denser packing of thermostable Fe-SOD. Total numbers of hubs, numbers of hubs in 3/10 helices, turn structures and especially in alpha helices, and the ratio of inner hubs in secondary structure are all important factors for Fe-SOD thermostability. Mutating hub residues on the Fe-SOD surface can improve Fe-SOD thermostability because of increasing hydrogen bond interactions. The results also show hubs in AAN can be used to study the relationship between protein structural characteristic and stability.
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Keywords: Amino acid network; Fe-SOD; Hubs; Thermostability

Document Type: Research Article

Publication date: April 1, 2015

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  • Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

    The journal focuses on reviews on advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc.

    Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.
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