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TorsionAnalyzer: exploring conformational space

Molecular conformations are used in a wide range of virtual screening applications to represent the conformational flexibility of a molecule. As the underlying conformational model has a major influence on the results of these applications, a closer insight into the conformational space of molecules is very important.

We developed a new interactive graphical software tool for conformation analysis called TorsionAnalyzer. The tool uses a predefined set of over 450 SMARTS patterns to analyze the torsion angles of an input conformation. Each pattern describes a torsion angle and is associated with frequency histograms derived from CSD [1] and PDB [2] data. For each pattern a list of allowed torsion angles was automatically derived from the torsion histograms. Rotatable bonds of a conformation are colored according to their classification into usual, borderline and unusual torsion angles, using the list of allowed angles from the corresponding patterns. This allows the user to see at a glance if one of the torsion angles of an examined conformation is out of the ordinary. The TorsionAnalyzer supports easy modification of the existing SMARTS patterns as well as the preparation and storage of different sets of patterns for different sets of molecules.

References

  1. Allen FH: The Cambridge Structural Database: a quarter of a million crystal structures and rising. Acta Cryst. 2002, B58: 380-388.

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  2. Berman HM, et al: The Protein Data Bank. Nucleic Acids Res. 2000, 28: 235-242. 10.1093/nar/28.1.235.

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Correspondence to Christin Schärfer.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Schärfer, C., Schulz-Gasch, T. & Rarey, M. TorsionAnalyzer: exploring conformational space. J Cheminform 5 (Suppl 1), P3 (2013). https://doi.org/10.1186/1758-2946-5-S1-P3

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  • DOI: https://doi.org/10.1186/1758-2946-5-S1-P3

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