Literature DB >> 12798389

Analysis and optimization of structure-based virtual screening protocols. 2. Examination of docked ligand orientation sampling methodology: mapping a pharmacophore for success.

Andrew C Good1, Daniel L Cheney, Doree F Sitkoff, John S Tokarski, Terry R Stouch, Donna A Bassolino, Stanley R Krystek, Yi Li, Jonathan S Mason, Timothy D J Perkins.   

Abstract

An important element of any structure-based virtual screening (SVS) technique is the method used to orient the ligands in the target active site. This has been a somewhat overlooked issue in recent SVS validation studies, with the assumption being made that the performance of an algorithm for a given set of orientation sampling settings will be representative for the general behavior of said technique. Here, we analyze five different SVS targets using a variety of sampling paradigms within the DOCK, GOLD and PROMETHEUS programs over a data set of approximately 10,000 noise compounds, combined with data sets containing multiple active compounds. These sets have been broken down by chemotype, with chemotype hit rate used to provide a measure of enrichment with a potentially improved relevance to real world SVS experiments. The variability in enrichment results produced by different sampling paradigms is illustrated, as is the utility of using pharmacophores to constrain sampling to regions that reflect known structural biology. The difference in results when comparing chemotype with compound hit rates is also highlighted.

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Year:  2003        PMID: 12798389     DOI: 10.1016/S1093-3263(03)00124-4

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  5 in total

1.  Assessment of programs for ligand binding affinity prediction.

Authors:  Ryangguk Kim; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2008-06       Impact factor: 3.376

2.  Identification of novel, less toxic PTP-LAR inhibitors using in silico strategies: pharmacophore modeling, SADMET-based virtual screening and docking.

Authors:  Dara Ajay; M Elizabeth Sobhia
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

3.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

4.  Use of molecular modeling and site-directed mutagenesis to define the structural basis for the immune response to carbohydrate xenoantigens.

Authors:  Mary Kearns-Jonker; Natasha Barteneva; Robert Mencel; Namath Hussain; Irina Shulkin; Alan Xu; Margaret Yew; Donald V Cramer
Journal:  BMC Immunol       Date:  2007-03-12       Impact factor: 3.615

5.  Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screening.

Authors:  Rafaela Gladysz; Fabio Mendes Dos Santos; Wilfried Langenaeker; Gert Thijs; Koen Augustyns; Hans De Winter
Journal:  J Cheminform       Date:  2018-03-07       Impact factor: 5.514

  5 in total

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