MIMUMBA Revisited: Torsion Angle Rules for Conformer Generation Derived from X-ray Structures

A method has been developed which automatically generates SMARTS patterns for four-atomic torsional fragments, searches experimental structures in the Cambridge Crystallographic Database, and obtains rules for preferred torsion angles in drug-size molecules. These rules can be used for exhaustive conformational analysis using the popular conformer generator OMEGA. This approach results in an overall improvement of quality and coverage of conformational space when comparing conformer ensembles generated by this method with results obtained by using the default OMEGA setup. In particular, the percentage of structures with at least one conformation closer than 0.5 A to the X-ray structure improves from 84% to 92% in a test set of 11 027 experimental structures from the CSD. Moreover, the average RMS distance of the closest conformation to the X-ray structure improves from 0.30 to 0.22 A.

[1]  P. Sprague Automated chemical hypothesis generation and database searching with Catalyst , 1995 .

[2]  Jens Sadowski,et al.  Structure Modification in Chemical Databases , 2005 .

[3]  Robin Taylor,et al.  New software for searching the Cambridge Structural Database and visualizing crystal structures. , 2002, Acta crystallographica. Section B, Structural science.

[4]  Owen Johnson,et al.  The development of versions 3 and 4 of the Cambridge Structural Database System , 1991, J. Chem. Inf. Comput. Sci..

[5]  Thomas Lengauer,et al.  A fast flexible docking method using an incremental construction algorithm. , 1996, Journal of molecular biology.

[6]  J. Gasteiger,et al.  Automatic generation of 3D-atomic coordinates for organic molecules , 1990 .

[7]  Peter W. Sprague,et al.  CATALYST Pharmacophore Models and Their Utility As Queries for Searching 3D Databases , 2007 .

[8]  Richard D. Taylor,et al.  Improved protein–ligand docking using GOLD , 2003, Proteins.

[9]  Gerhard Klebe,et al.  Methodological developments and strategies for a fast flexible superposition of drug-size molecules , 1999, J. Comput. Aided Mol. Des..

[10]  G J Williams,et al.  The Protein Data Bank: a computer-based archival file for macromolecular structures. , 1978, Archives of biochemistry and biophysics.

[11]  Jonas Boström,et al.  Reproducing the conformations of protein-bound ligands: A critical evaluation of several popular conformational searching tools , 2001, J. Comput. Aided Mol. Des..