The 4D-QSAR model developed for a training set of 47 glucose analogue inhibitors of glycogen phosphorylase, and reported in the previous paper in this issue, was used as a basis for developing virtual high throughput screen, VHTS, models to screen a focused combinatorial virtual library of 225 additional inhibitors. Techniques to develop, evaluate, and apply VHTS models derived from 4D-QSAR models are presented. Application of the VHTS models to screen the virtual library results in the prediction of compounds which bind both more, and less, strongly to the enzyme than the best and worst binders of the training set. Analysis of the binding predictions across the virtual library reveals patterns of structure-activity information that can be useful to design new focused libraries. The possible use of overfit QSAR models, with respect to the training data set, as VHTS models is discussed and explored.

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Examples of reverse turns as recognition motifs in biological systems can be found in high-resolution crystal structures of antibody-peptide complexes. Development of peptidomimetics is often based on replacing the amide backbone of peptides by sugar rings, steroids, benzodiazepines, or other hetero- and carbocycles. In this approach, the chemical scaffold of the peptide backbone can be replaced while retaining activity as long as the pharmacophoric groups of the peptide side chains stay in relatively the same place; in other words, similar functional groups must overlap in space for interaction with critical receptor sites. This study evaluates the potential of metal complexes of chiral pentaazacrowns (PAC) derived by reduction of cyclic pentapeptides as beta-turn mimetics. Due to the limited flexibility of the pendant chiral side groups in these metal complexes, one can potentially elicit information about the receptor-bound conformation from their binding affinities. 11 PAC crystal structures with different substitution patterns complexed with 3 different metals (Mn, Fe, Cd) as a prototypical database of potential side-chain orientations. Complexation with different metals induces subtle differences in the conformations of a particular azacrown scaffold. The lack of parameterization of transition metals for force field calculations precludes a thorough theoretical study. Thus, this study utilizes a simple geometrical comparison between the experimental data for crystalline PAC complexes and the side-chain orientations seen in classic beta-turns. The FOUNDATION program was used to overlap the Calpha-Cbeta vectors of the corresponding ideal beta-turn side-chains to all possible leaving groups of the PAC complexes. When comparing the relative orientations of the chiral side chains, a strong overlap of the bonds (between about 0.1 A to about 0.5 A RMS for 3 residues and up to about 1 A RMS for 4 residues) was observed for many of the molecules. Such metal complexes may lack complete peptidomimetic activity due to the lack of spatial overlap of all four side-chain residues, however, if only three peptide side chains are needed for receptor recognition and/or binding, the metal complexes should show biological activity.

Reverse turns are common structural motifs and recognition sites in protein/protein interactions. The design of peptidomimetics is often based on replacing the amide backbone of peptides by a non-peptidic scaffold while retaining the biologic mode of action. This study evaluates the potential of metal complexes of chiral pentaazacrowns conceptually derived by reduction of cyclic pentapeptides as reverse-turn mimetics. The possible conformations of metal complexes of chiral pentaazacrown scaffolds have been probed by analysis of 28 crystal structures complexed with six different metals (Mn, Fe, Co, Ni, Cu, and Zn). The solvated structures as well as the impact of complexation with different metals/oxidation states have been examined with density functional theory (DFT) calculation as explicitly represented by interactions with a single water molecule. The results suggest that most reverse-turn motifs seen in proteins could be mimicked effectively with a subset of metal complexes of chiral pentaazacrown scaffolds with an RMSD of approximately 0.3 A. Due to the relatively fixed orientation of the pendant chiral side groups in these metal complexes, one can potentially elicit information about the receptor-bound conformation of the parent peptide from their binding affinities. The presence of 20 H-atoms on the pentaazacrown ring that could be functionalized as well as the conformational perturbations available from complexation with different metals offer a desirable diversity to probe receptors for reverse-turn recognition.