Conformer Ensembles Containing Bioactive Conformations
OMEGA was designed for use with the large libraries required for computer-aided drug design. It generates multi-conformer structure databases with high speed and reliability.
OMEGA performs rapid conformational expansion of drug-like molecules, yielding a throughput of tens of thousands of compounds per day per processor.
OMEGA is very effective at reproducing bioactive conformations [1,2], and provides an optimal balance between speed and performance when used on large compound databases .
OMEGA conformational databases can be used as input to a variety of applications including docking engines (FRED), shape comparison tools (ROCS) and pharmacophore perception algorithms.
OMEGA's knowledge-based approach produces databases of comparable quality to much more computationally expensive methods .
OMEGA reproduction of a high-quality ligand structure from the PDB with RMSD < 0.75 Angstrom.
- Very rapid (1-2 sec/molecule), systematic and rule-based conformer search
- Converts from 1D or 2D to 3D using distance bounds methods
- Diverse ensemble selection based on RMS distance and strain energy
- User-configurable search resolution
- Automatic superposition of structural features
- Excellent reproduction of solid-state structures of drug-like molecules
- Distributed processing via MPI for all supported platforms
- Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database, P.C.D. Hawkins, A.G. Skillman, G.L. Warren, B.A. Ellingson and M.T. Stahl, J. Chem. Inf. Model., 2010, 50, 572.
- Conformer generation with OMEGA: Learning from the dataset and analysis of failures, Hawkins, P.C.D., Nicholls, A.N., J. Chem. Inf. Model., 2012, 52, 2919.
- Conformational Analysis of Drug-Like Molecules Bound to Proteins: An Extensive Study of Ligand Reorganization upon Binding, E. Perola and P.S. Charifson. J. Med. Chem. 2004, 47, 2499-2510.
- Comparison of Conformational Analysis Techniques to Generate Pharmacophore Hypotheses Using Catalyst, R. Kristam, V.J. Gillet, R.A. Lewis and D. Thorner. J. Chem. Inf. Model. 2005, 45, 461-476.