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Matthew D Kelly

Publications and source records attributed to Matthew D Kelly.

4 recordsLinked to original sources

Comparative analysis of the surface interaction properties of the binding sites of CDK2, CDK4, and ERK2.

Recently developed hydrogen-bonding and hydrophobic analysis algorithms were used to investigate the interaction properties of the ATP binding sites of CDK2, CDK4, and ERK2. We were able to prioritise those hydrogen-bonding groups that are observed to bind the native ATP ligand, as well as to identify other important groups found to bind inhibitors of these enzymes. However, as the hydrogen-bonding groups in the ATP binding sites of these enzymes are fairly well-conserved, we have confirmed that inhibitor selectivity may be predominantly due to differences in either the hydrophobic or steric properties of their binding sites. In particular, the hydrophobic properties of regions outside the specificity surface were observed to provide a rationale for the differences in specificity between various inhibitors to these enzymes. Our method was thus able to identify variations in hydrophobicity. The greater hydrophobicity of certain regions of CDK4 over analogous regions in CDK2 was detectable; likewise, it was possible to distinguish variations in hydrophobicity for regions of CDK2 against those in ERK2, despite the fact that these regions are largely composed of similar residue types.

Adenosine Triphosphate↗

A new method for estimating the importance of hydrophobic groups in the binding site of a protein.

Interactions between the hydrophobic regions of a binding site and those of a complementary ligand are often observed to provide the driving force for binding. We present a new method for the analysis of hydrophobic regions in the binding site of a protein that considers not only atom type but also the nonadditive effects arising from the shape and extent of a nonpolar region. The method has been parametrized using a purpose-built genetic algorithm to optimize its ability to identify those regions that are more likely to form a strong interaction with a nonpolar ligand group. We demonstrate the ability of this method to account for changes in the shape and extent of the exposed nonpolar surface, using both artificial and protein examples. The method is also able to rationalize differences in binding affinity for ligand-protein complexes with largely hydrophobic binding sites.

Algorithms↗

A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

We introduce a new method to estimate the importance of hydrogen-bonding sitepoints in the binding site of a protein as part of a structure-based design strategy. Our method identifies hydrogen-bonding sitepoints within a binding pocket and ranks them according to both the accessibility of their hydrogen bonding regions to incoming ligands and their hydrogen-bonding strength. The combination of these components produces a prioritised list of sitepoints that are more likely to be involved in hydrogen bonding with an incoming ligand. A dataset of known protein-ligand interactions was used to compare the prioritisation of sitepoints identified by our method with those observed to be engaged in hydrogen bonding in their crystal structures. Our method was able to remove those sitepoints unable to bind the ligand due to a low accessibility or an unfavourable orientation and to award significantly higher hydrogen-bonding ranking values to those sitepoints observed to form hydrogen bonds. Our method can thus be used to identify hydrogen-bonding sitepoints that should be targeted preferentially in a drug design strategy.

Binding Sites↗

Expanded interaction fingerprint method for analyzing ligand binding modes in docking and structure-based drug design.

An expanded interaction fingerprint method has been developed for analyzing the binding modes of ligands in docking and structure-based design methods. Taking the basic premise of representing a ligand in terms of a binary string that denotes its interactions with a target protein, we have expanded the method to include additional interaction-specific information. By considering the hydrogen-bonding strength and/or accessibility of the hydrogen bonding groups within a binding site as well as their geometric arrangement we aim to provide a better representation of a ligand-protein interaction. These expanded methods have been applied to the postprocessing of binding poses generated in a docking study for 220 different proteins and to the analysis of ligands generated by an automated ligand-generation algorithm for the anthrax oedema factor. In the docking study, the application of the interaction fingerprint method as a postprocessing tool resulted in an increased success rate in identifying the crystallographic binding mode. In the analysis of the ligands generated for the anthrax oedema factor, the incorporation of additional interaction-specific information resulted in a more intuitive and comprehensive analysis of automated ligand-generation output.

Journal Article↗