Alan C. Gibbs

Docking: Successes and Challenges

The state of the art of various computational aspects of docking-based virtual screening of database of small molecules is presented. The review encompasses the different search algorithms and the scoring functions used in docking methods and their applications to protein and nucleic acid drug targets. Recent progress made in the development and application of methods to include target flexibility are summarized. The fundamental issues and challenges involved in comparing various docking methods are discussed. Limitations of current technologies as well as future prospects are presented.

Design, Synthesis, and Biological Evaluation of (2R,αS)-3,4-Dihydro-2-[3-(1,1,2,2-tetrafluoroethoxy)phenyl]-5-[3-(trifluoromethoxy)-phenyl]-α-(trifluoromethyl)-1(2H)-quinolineethanol as Potent and Orally Active Cholesteryl Ester Transfer Protein Inhibitor

With the goal of identifying a CETP inhibitor with high in vitro potency and optimal in vivo efficacy, a conformationally constrained molecule was designed based on the highly potent and flexible 13. The synthetic chemistry efforts led to the discovery of the potent and selective 12. In high-fat fed hamsters, human CETP transgenic mice, and cynomolgus monkeys, the in vivo efficacy of 12 for raising HDL-C was demonstrated to be comparable to torcetrapib.

Electron density guided fragment-based lead discovery of ketohexokinase inhibitors.

A fragment-based drug design paradigm has been successfully applied in the discovery of lead series of ketohexokinase inhibitors. The paradigm consists of three iterations of design, synthesis, and X-ray crystallographic screening to progress low molecular weight fragments to leadlike compounds. Applying electron density of fragments within the protein binding site as defined by X-ray crystallography, one can generate target specific leads without the use of affinity data. Our approach contrasts with most fragment-based drug design methodology where solution activity is a main design guide. Herein we describe the discovery of submicromolar ketohexokinase inhibitors with promising druglike properties.

Quantum mechanical pairwise decomposition analysis of protein kinase B inhibitors: validating a new tool for guiding drug design.

Quantum mechanical semiempirical comparative binding energy analysis calculations have been carried out for a series of protein kinase B (PKB) inhibitors derived from fragment- and structure-based drug design. These protein−ligand complexes were selected because they represent a consistent set of experimental data that includes both crystal structures and affinities. Seven scoring functions were evaluated based on both the PM3 and the AM1 Hamiltonians. The optimal models obtained by partial least-squares analysis of the aligned poses are predictive as measured by a number of standard statistical criteria and by validation with an external data set. An algorithm has been developed that provides residue-based contributions to the overall binding affinity. These residue-based binding contributions can be plotted in heat maps so as to highlight the most important residues for ligand binding. In the case of these PKB inhibitors, the maps show that Met166, Thr97, Gly43, Glu114, Ala116, and Val50, among other residues, play an important role in determining binding affinity. The interaction energy map makes it easy to identify the residues that have the largest absolute effect on ligand binding. The structure−activity relationship (SAR) map highlights residues that are most critical to discriminating between more and less potent ligands. Taken together the interaction energy and the SAR maps provide useful insights into drug design that would be difficult to garner in any other way.

Elements and modulation of functional dynamics.

The existing structure-function paradigm of drug discovery has been evolving toward the essential incorporation of dynamics data. This new functional dynamics paradigm emphasizes conformational entropy as a driving force of protein function and intermolecular recognition. Conformational dynamics (a proxy of conformational entropy) impacts the degree of protein (dis)order and the constitution of the conformational ensemble, the mechanisms of allostery and drug resistance, and the free energy of ligand binding. Specific protein and ligand conformations facilitate favorable, reciprocal interactions. The number of protein and ligand conformers that exhibit favorable binding interactions will vary from system to system. All binding scenarios can modulate protein dynamics by various levels of enthalpic and entropic contribution, with significant influence on the functional dynamics of the system. Analysis and consideration of resulting changes of activity, signaling, catalysis, and subsequent phenotypic outcome are powerful motivations in the drug design process.

Pyrimidinopyrimidine inhibitors of ketohexokinase: exploring the ring C2 group that interacts with Asp-27B in the ligand binding pocket.

Inhibitors of ketohexokinase (KHK) have potential for the treatment of diabetes and obesity. We have continued studies on a pyrimidinopyrimidine series of potent KHK inhibitors by exploring the 2-position substituent (R(3)) that interacts with Asp-27B in the ATP-binding region of KHK (viz. 1, 2; Table 1). We found that increased spacing between the terminal ammonium group and the heterocyclic scaffold (viz. 16-20), such that interaction with Asp-27B is not possible, still results in potent KHK inhibition (IC(50)=15-50 nM). We propose a new interaction with Asp-194, which serves to expand the pyrimidinopyrimidine pharmacophore.