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Crystal structures of hGPR40, a target for treatment of type 2 diabetes, bound to a partial and an allosteric agonist explain the binding cooperativity between these ligands and present new opportunities for structure-guided drug design. Clinical studies indicate that partial agonists of the G-protein-coupled, free fatty acid receptor 1 GPR40 enhance glucose-dependent insulin secretion and represent a potential mechanism for the treatment of type 2 diabetes mellitus. Full allosteric agonists (AgoPAMs) of GPR40 bind to a site distinct from partial agonists and can provide additional efficacy. We report the 3.2-Å crystal structure of human GPR40 (hGPR40) in complex with both the partial agonist MK-8666 and an AgoPAM, which exposes a novel lipid-facing AgoPAM-binding pocket outside the transmembrane helical bundle. Comparison with an additional 2.2-Å structure of the hGPR40–MK-8666 binary complex reveals an induced-fit conformational coupling between the partial agonist and AgoPAM binding sites, involving rearrangements of the transmembrane helices 4 and 5 (TM4 and TM5) and transition of the intracellular loop 2 (ICL2) into a short helix. These conformational changes likely prime GPR40 to a more active-like state and explain the binding cooperativity between these ligands.

On October 5, 1981, Fortune magazine published a cover article entitled the “Next Industrial Revolution: Designing Drugs by Computer at Merck”. With a 40+ year investment, we have been in the drug design business longer than most. During its history, the Merck drug design group has had several names, but it has always been in the “design” business, with the ultimate goal to provide an actionable hypothesis that could be tested experimentally. Often the result was a small molecule but it could just as easily be a peptide, biologic, predictive model, reaction, process, etc. To this end, the concept of design is now front and center in all aspects of discovery, safety assessment and early clinical development. At present, the Merck design group includes computational chemistry, protein structure determination, and cheminformatics. By bringing these groups together under one umbrella, we were able to align activities and capabilities across multiple research sites and departments. This alignment from 2010 to 2016 resulted in an 80% expansion in the size of the department, reflecting the increase in impact due to a significant emphasis across the organization to “design first” along the entire drug discovery path from lead identification (LID) to first in human (FIH) dosing. One of the major advantages of this alignment has been the ability to access all of the data and create an adaptive approach to the overall LID to FIH pathway for any modality, significantly increasing the quality of candidates and their probability of success. In this perspective, we will discuss how we crafted a new strategy, defined the appropriate phenotype for group members, developed the right skillsets, and identified metrics for success in order to drive continuous improvement. We will not focus on the tactical implementation, only giving specific examples as appropriate.

It was the mid 1980s that saw the dawn of real growth in computational chemist. There was the convergence in theory, computational power and growth in funding, both pharmaceutical and government, that paved the way for fast improvements in methods, descriptors, expert software and employment opportunities.

By means of a thermodynamic perturbation method implemented with molecular dynamics, the relative free energy of binding was calculated for the enzyme thermolysin complexed with a pair of phosphonamidate and phosphonate ester inhibitors. The calculated difference in free energy of binding was 4.21 $\\pm $ 0.54 kilocalories per mole. This compares well with the experimental value of 4.1 kilocalories per mole. The method is general and can be used to determine a change or ``mutation'' in any system that can be suitably represented. It is likely to prove useful for protein and drug design.

Theoretical investigations of the transition structures of additions and cycloadditions reveal details about the geometries of bond-forming processes that are not directly accessible by experiment. The conformational analysis of transition states has been developed from theoretical generalizations about the preferred angle of attack by reagents on multiple bonds and predictions of conformations with respect to partially formed bonds. Qualitative rules for the prediction of the stereochemistries of organic reactions have been devised, and semi-empirical computational models have also been developed to predict the stereoselectivities of reactions of large organic molecules, such as nucleophilic additions to carbonyls, electrophilic hydroborations and cycloadditions, and intramolecular radical additions and cycloadditions.

The Trump Paradox: Migration, Trade, and Racial Politics in US-Mexico Integration explores one of the most complex and unequal cross-border relations in the world, in light of both a twenty-first-century political economy and the rise of Donald Trump. Despite the trillion-plus dollar contribution of Latinos to the US GDP, political leaders have paradoxically stirred racial resentment around immigrants just as immigration from Mexico has reached net zero. With a roster of state-of-the-art scholars from both Mexico and the US, The Trump Paradox explores a dilemma for a divided nation such as the US: in order for its economy to continue flourishing, it needs immigrants and trade.

The leucine zipper proteins are a group of transcriptional regulators that dimerize to form a DNA binding domain. It has been proposed that this dimerization results from the hydrophobic association of the α-helices of two leucine zipper monomers into a coiled coil. We propose a model for a coiled coil based on a periodic hydrophobic-hydrophilic amino acid motif found in the leucine zipper regions of 11 transcriptional regulatory proteins. This model predicts the symmetrical formation of secondary hydrogen bonds between the polar side chains of one helix and the peptide carbonyls of the opposite chain, supplementing the interactions between hydrophobic side chains. Physical modeling (CPK) and in vacuo molecular mechanics calculations of the stability of the GCN4 leucine zipper coiled coil configured in accordance with this model demonstrate a greater stability for this conformer than for a conformer configured according to a current hydrophobic model. Molecular dynamics simulations show similar stability of the two models in vacuo but a higher stability of the hydrophobic model in water.