MOLE 2.0: Advanced approach for analysis of biomacromolecular channels

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Abstract

Background: Channels and pores in biomacromolecules (proteins, nucleic acids and their complexes) play significant biological roles, e.g., in molecular recognition and enzyme substrate specificity. Results: 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. Conclusion: 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. © 2013 Sehnal et al.; licensee Chemistry Central Ltd.

Figures

  • Figure 1 Classification of biomacromolecular “empty spaces”: A) pockets, B) cavities, C) channels (or tunnels), and D) pores.
  • Figure 2 Scheme showing the steps i-vii involved in the channel calcu cytochrome P450 3A4 (PDB ID: 1TQN).
  • Figure 3 MOLE 2.0 graphical user interface. The left side of the window computed tunnels. The panel on the right allows the user to tune the com export them.
  • Figure 4 MOLE 2.0 channel details. Channel profile, i.e., plot of radius vs. distance from the start point (left), together with a list of lining amino acid residues and physicochemical properties (right).
  • Table 1 Basic features of software tools for channel identifica
  • Figure 5 Channels found in the analyzed molecules.
  • Figure 6 Performance of software tools. Time taken for the channel calculation with respect of the number of atoms in a biomacromolecule (cf. Additional file 1: Table S3).
  • Figure 7 Found channels. A–gramicidin D (1GRM), B–large ribosomal subunit (1JJ2), C–cytochrome c oxidase (1M56), D–nicotinic acetylcholine receptor (2BG9), E–carbonic anhydrase (3EYX) by MOLE 2.0. Nonpolar channel in cytochrome c oxidase structure is shown in blue, polar channel is shown in red.

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CITATION STYLE

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Sehnal, D., Vařeková, R. S., Berka, K., Pravda, L., Navrátilová, V., Banáš, P., … Koča, J. (2013). MOLE 2.0: Advanced approach for analysis of biomacromolecular channels. Journal of Cheminformatics, 5(8). https://doi.org/10.1186/1758-2946-5-39

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