LIGSIFT: an open-source tool for ligand structural alignment and virtual screening

MOTIVATION Shape-based alignment of small molecules is a widely used approach in computer-aided drug discovery. Most shape-based ligand structure alignment applications, both commercial and freely available ones, use the Tanimoto coefficient or similar functions for evaluating molecular similarity. Major drawbacks of using such functions are the size dependence of the score and the fact that the statistical significance of the molecular match using such metrics is not reported. RESULTS We describe a new open-source ligand structure alignment and virtual screening (VS) algorithm, LIGSIFT, that uses Gaussian molecular shape overlay for fast small molecule alignment and a size-independent scoring function for efficient VS based on the statistical significance of the score. LIGSIFT was tested against the compounds for 40 protein targets available in the Directory of Useful Decoys and the performance was evaluated using the area under the ROC curve (AUC), the Enrichment Factor (EF) and Hit Rate (HR). LIGSIFT-based VS shows an average AUC of 0.79, average EF values of 20.8 and a HR of 59% in the top 1% of the screened library. AVAILABILITY AND IMPLEMENTATION LIGSIFT software, including the source code, is freely available to academic users at http://cssb.biology.gatech.edu/LIGSIFT. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online. CONTACT skolnick@gatech.edu.

[1]  Naomie Salim,et al.  Analysis and Display of the Size Dependence of Chemical Similarity Coefficients , 2003, J. Chem. Inf. Comput. Sci..

[2]  Andy Jennings,et al.  Selection of Molecules Based on Shape and Electrostatic Similarity: Proof of Concept of "Electroforms" , 2007, J. Chem. Inf. Model..

[3]  A. Volgenant,et al.  A shortest augmenting path algorithm for dense and sparse linear assignment problems , 1987, Computing.

[4]  Gert Thijs,et al.  Pharao: pharmacophore alignment and optimization. , 2008, Journal of molecular graphics & modelling.

[5]  J. A. Grant,et al.  A fast method of molecular shape comparison: A simple application of a Gaussian description of molecular shape , 1996, J. Comput. Chem..

[6]  J. A. Grant,et al.  A shape-based 3-D scaffold hopping method and its application to a bacterial protein-protein interaction. , 2005, Journal of medicinal chemistry.

[7]  J. Irwin,et al.  Benchmarking sets for molecular docking. , 2006, Journal of medicinal chemistry.

[8]  Pierre Tufféry,et al.  Ligand scaffold hopping combining 3D maximal substructure search and molecular similarity , 2009, BMC Bioinformatics.

[9]  J. A. Grant,et al.  A Gaussian Description of Molecular Shape , 1995 .

[10]  Pierre Baldi,et al.  When is Chemical Similarity Significant? The Statistical Distribution of Chemical Similarity Scores and Its Extreme Values , 2010, J. Chem. Inf. Model..

[11]  Jürgen Bajorath,et al.  Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches. , 2007, Drug discovery today.

[12]  Simona Distinto,et al.  How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information , 2009, J. Chem. Inf. Model..

[13]  Benjamin A. Ellingson,et al.  Conformer Generation with OMEGA: Algorithm and Validation Using High Quality Structures from the Protein Databank and Cambridge Structural Database , 2010, J. Chem. Inf. Model..

[14]  Chang-Guo Zhan,et al.  Ligand-Based Virtual Screening Approach Using a New Scoring Function , 2012, J. Chem. Inf. Model..

[15]  G. Schneider,et al.  Scaffold‐Hopping Potential of Ligand‐Based Similarity Concepts , 2006, ChemMedChem.

[16]  Chris Morley,et al.  Pybel: a Python wrapper for the OpenBabel cheminformatics toolkit , 2008, Chemistry Central journal.

[17]  Mark S. Johnson,et al.  ShaEP: Molecular Overlay Based on Shape and Electrostatic Potential , 2009, J. Chem. Inf. Model..

[18]  Jeremy G. Vinter,et al.  FieldScreen: Virtual Screening Using Molecular Fields. Application to the DUD Data Set , 2008, J. Chem. Inf. Model..

[19]  Olivier Sperandio,et al.  MED-SuMoLig: A New Ligand-Based Screening Tool for Efficient Scaffold Hopping , 2007, J. Chem. Inf. Model..