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Doron Chema

Publications and source records attributed to Doron Chema.

3 recordsLinked to original sources

Identifying the binding mode of a molecular scaffold.

We describe a method for docking of a scaffold-based series and present its advantages over docking of individual ligands, for determining the binding mode of a molecular scaffold in a binding site. The method has been applied to eight different scaffolds of protein kinase inhibitors (PKI). A single analog of each of these eight scaffolds was previously crystallized with different protein kinases. We have used FlexX to dock a set of molecules that share the same scaffold, rather than docking a single molecule. The main mode of binding is determined by the mode of binding of the largest cluster among the docked molecules that share a scaffold. Clustering is based on our 'nearest single neighbor' method [J. Chem. Inf. Comput. Sci., 43 (2003) 208-217]. Additional criteria are applied in those cases in which more than one significant binding mode is found. Using the proposed method, most of the crystallographic binding modes of these scaffolds were reconstructed. Alternative modes, that have not been detected yet by experiments, could also be identified. The method was applied to predict the binding mode of an additional molecular scaffold that was not yet reported and the predicted binding mode has been found to be very similar to experimental results for a closely related scaffold. We suggest that this approach be used as a virtual screening tool for scaffold-based design processes.

Binding Sites↗

A method for correlations analysis of coordinates: applications for molecular conformations.

We describe a new method to analyze multiple correlations between subsets of coordinates that represent a sample. The correlation is established only between specific regions of interest at the coordinates. First, the region(s) of interest are selected at each molecular coordinate. Next, a correlation matrix is constructed for the selected regions. The matrix is subject to further analysis, illuminating the multidimensional structural characteristics that exist in the conformational space. The method's abilities are demonstrated in several examples: it is used to analyze the conformational space of complex molecules, it is successfully applied to compare related conformational spaces, and it is used to analyze a diverse set of protein folding trajectories.

Amino Acid Sequence↗

The "nearest single neighbor" method-finding families of conformations within a sample.

A simple method for self-organization of conformation samples into families is presented. According to this method, any large sample of molecular conformations may be reorganized according to the nearest single root-mean-square displacement (rmsd) neighbor, starting at any chosen "seed" conformation. Following such reordering, conformational families may be determined by a novel process that maximizes family sizes while minimizing family mixing. This process eliminates much of the arbitrariness that was inherent in most of the related methods of conformation clustering. We demonstrate the construction of rmsd matrices and discuss the convergence criteria for the sample size as well as criteria for determining the cutoff value for the definition of families in each sample. The method is invariant to changes of the "seed" conformation. After applying this method, families of conformations may be more easily recognized in graphic matrices. The method has been applied to the analysis of the conformational space of two cyclic peptides. It is also shown that the "organized" conformational space, at least in those specific examples, has an energy topology that reminds of energy basins. The method is general and applicable to molecules of any type.

Journal Article↗