Unlike other methods for docking ligands to the rigid 3D structure of a known protein receptor, Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand In this search, an initial rough positioning and scoring phase that dramatically narrows the search space is followed by torsionally flexible energy optimization on an OPLS-AA nonbonded potential grid for a few hundred surviving candidate poses The very best candidates are further refined via a Monte Carlo sampling of pose conformation; in some cases, this is crucial to obtaining an accurate docked pose Selection of the best docked pose uses a model energy function that combines empirical and force-field-based terms Docking accuracy is assessed by redocking ligands from 282 cocrystallized PDB complexes starting from conformationally optimized ligand geometries that bear no memory of the correctly docked pose Errors in geometry for the top-ranked pose are less than 1 A in nearly ha

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Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Glide's ability to identify active compounds in a database screen is characterized by applying Glide to a diverse set of nine protein receptors. In many cases, two, or even three, protein sites are employed to probe the sensitivity of the results to the site geometry. To make the database screens as realistic as possible, the screens use sets of “druglike” decoy ligands that have been selected to be representative of what we believe is likely to be found in the compound collection of a pharmaceutical or biotechnology company. Results are presented for releases 1.8, 2.0, and 2.5 of Glide. The comparisons show that average measures for both “early” and “global” enrichment for Glide 2.5 are 3 times higher than for Glide 1.8 and more than 2 times higher than for Glide 2.0 because of better results for the least well-handled screens. This improvement in enrichment stems largely from the better balance of the more widely parametrized GlideScore 2.5 function and the inclusion of terms that penalize ligand−protei...

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Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Bioorganometallic Chemistry of Ferrocene

Summary New empirical scoring functions have been developed to estimate the binding affinity of a given protein-ligand complex with known three-dimensional structure. These scoring functions include terms accounting for van der Waals interaction, hydrogen bonding, deformation penalty, and hydrophobic effect. A special feature is that three different algorithms have been implemented to calculate the hydrophobic effect term, which results in three parallel scoring functions. All three scoring functions are calibrated through multivariate regression analysis of a set of 200 protein-ligand complexes and they reproduce the binding free energies of the entire training set with standard deviations of 2.2 kcal/mol, 2.1 kcal/mol, and 2.0 kcal/mol, respectively. These three scoring functions are further combined into a consensus scoring function, X-CSCORE. When tested on an independent set of 30 protein-ligand complexes, X-CSCORE is able to predict their binding free energies with a standard deviation of 2.2 kcal/mol. The potential application of X-CSCORE to molecular docking is also investigated. Our results show that this consensus scoring function improves the docking accuracy considerably when compared to the conventional force field computation used for molecular docking.

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Further development and validation of empirical scoring functions for structure-based binding affinity prediction

Fraser F. Fleming,* Lihua Yao, P. C. Ravikumar, Lee Funk, and Brian C. Shook Department of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania 15282-1530, Mylan Pharmaceuticals Inc., 781 Chestnut Ridge Road, Morgantown, West Virginia 26505, and Johnson & Johnson Pharmaceutical Research and Development, L.L.C., Welsh and McKean Roads, P.O. Box 776, Spring House, Pennsylvania 19477

Nitrile-Containing Pharmaceuticals: Efficacious Roles of the Nitrile Pharmacophore

Molecular recognition of protein-ligand complexes : applications to drug design

The structure-based design, chemical synthesis, and biological evaluation of various peptide-derived human rhinovirus (HRV) 3C protease (3CP) inhibitors are described. These compounds are comprised of an ethyl propenoate Michael acceptor moiety and a tripeptidyl binding determinant. The systematic modification of each amino acid residue present in the binding determinant as well as the N-terminal functionality is described. Such modifications are shown to provide irreversible HRV-14 3CP inhibitors with anti-3CP activities (kobs/[I]) ranging from 60 to 280 000 M-1 s-1 and antiviral EC50's which approach 0.15 μM. An optimized inhibitor which incorporates several improvements identified by the structure−activity studies is also described. This molecule displays very rapid irreversible inhibition of HRV-14 3CP (kobs/[I] = 800 000 M-1 s-1) and potent antiviral activity against HRV-14 in cell culture (EC50 = 0.056 μM). A 1.9 A crystal structure of an S-alkylthiocarbamate-containing inhibitor complexed with HRV-...

Structure-Based Design, Synthesis, and Biological Evaluation of Irreversible Human Rhinovirus 3C Protease Inhibitors. 2. Peptide Structure−Activity Studies

Design, synthesis and X-ray crystallographic studies of novel FKBP-12 ligands

Picornaviral 3C protease inhibitors, obtainable by chemical synthesis, inhibit or block the biological activity of picornaviral 3C proteases. These compounds, as well as pharmaceutical compositions that contain these compounds, are suitable for treating patients or hosts infected with one or more picornaviruses. Several novel methods and intermediates can be used to prepare the novel picornaviral 3C protease inhibitors of the present invention.

Babine Robert E

Papers

Molecular recognition of protein-ligand complexes : applications to drug design

Structure-Based Design, Synthesis, and Biological Evaluation of Irreversible Human Rhinovirus 3C Protease Inhibitors. 2. Peptide Structure−Activity Studies

Design, synthesis and X-ray crystallographic studies of novel FKBP-12 ligands

Antipicornaviral compounds and methods for their use and preparation

Inhibitors of picornavirus 3c proteases and methods for their use and preparation