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  • 标题:MOLE 2.0: advanced approach for analysis of biomacromolecular channels
  • 本地全文:下载
  • 作者:David Sehnal ; Radka Svobodová Vařeková ; Karel Berka
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2013
  • 卷号:5
  • 期号:1
  • 页码:39
  • DOI:10.1186/1758-2946-5-39
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Channels and pores in biomacromolecules (proteins, nucleic acids and their complexes) play significant biological roles, e.g., in molecular recognition and enzyme substrate specificity. We present an advanced software tool entitled MOLE 2.0, which has been designed to analyze molecular channels and pores. Benchmark tests against other available software tools showed that MOLE 2.0 is by comparison quicker, more robust and more versatile. As a new feature, MOLE 2.0 estimates physicochemical properties of the identified channels, i.e., hydropathy, hydrophobicity, polarity, charge, and mutability. We also assessed the variability in physicochemical properties of eighty X-ray structures of two members of the cytochrome P450 superfamily. Estimated physicochemical properties of the identified channels in the selected biomacromolecules corresponded well with the known functions of the respective channels. Thus, the predicted physicochemical properties may provide useful information about the potential functions of identified channels. The MOLE 2.0 software is available at http://mole.chemi.muni.cz .
  • 关键词:Channels ; Tunnels ; Pores ; Protein structures ; Cytochrome P450 ; CAM ; BM3
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