A Remote Arene-Binding Site on Prostate Specific Membrane Antigen Revealed by Antibody-Recruiting Small Molecules

Prostate specific membrane antigen (PSMA) is a membrane-bound glutamate carboxypeptidase overexpressed in many forms of prostate cancer. Our laboratory has recently disclosed a class of small molecules, called ARM-Ps (antibody-recruiting molecule targeting prostate cancer) that are capable of enhancing antibody-mediated immune recognition of prostate cancer cells. Interestingly, during the course of these studies, we found ARM-Ps to exhibit extraordinarily high potencies toward PSMA, compared to previously reported inhibitors. Here, we report in-depth biochemical, crystallographic, and computational investigations which elucidate the origin of the observed affinity enhancement. These studies reveal a previously unreported arene-binding site on PSMA, which we believe participates in an aromatic stacking interaction with ARMs. Although this site is composed of only a few amino acid residues, it drastically enhances small molecule binding affinity. These results provide critical insights into the design of PSMA-targeted small molecules for prostate cancer diagnosis and treatment; more broadly, the presence of similar arene-binding sites throughout the proteome could prove widely enabling in the optimization of small-molecule–protein interactions

A Collective Variable for the Rapid Exploration of Protein Druggability

An efficient molecular simulation methodology has been developed for the evaluation of the druggability (ligandability) of a protein. Previously proposed techniques were designed to assess the druggability of crystallographic structures and cannot be tightly coupled to molecular dynamics (MD) simulations. By contrast, the present approach, JEDI (<u>J</u>ust <u>E</u>xploring <u>D</u>ruggability at protein <u>I</u>nterfaces), features a druggability potential made of a combination of empirical descriptors that can be collected “on-the-fly” during MD simulations. Extensive validation studies indicate that JEDI analyses discriminate druggable and nondruggable protein binding site conformations with accuracy similar to alternative methodologies, and at a fraction of the computational cost. Since the JEDI function is continuous and differentiable, the druggability potential can be used as collective variable to rapidly detect cryptic druggable binding sites in proteins with a variety of MD free energy methods. Protocols for applications to flexible docking problems are outlined

Dialect typology: recent advances

This chapter provides an overview of recent innovative approaches that focus on the distributional patterns of linguistic phenomena in dialects across different languages. We set the stage by discussing a number of geographical factors that are assumed in the literature to have a bearing on the structural make-up of different languages and dialects such as world region, altitude, contact with speakers of other languages or dialects, etc. We then move on to sketch the extent to which dialects of a language exhibit common features (e.g., “vernacular universals” à la Chambers 2004) and identify structural dichotomies and continua that are regularly invoked when it comes to explaining the structural diversity of languages, namely, analyticity versus syntheticity, explicitness versus economy, complexity versus simplicity, and innovativeness versus conservativeness, all within the context of geographic space

Development and validation of RVFV antiviral screen.

A. Identification of optimal mAb for the detection of RVFV by mAb staining of a serial dilution of RVFV strain MP-12 in an FFA. B. Impact of cell number on the sensitivity of antiviral compound screen. C. Evaluation of the sensitivity of the antiviral compound screen based upon the evaluation of ribavirin and β-D-N4-Hydroxycytidine N4-Hydroxycytidine (NHC/EIDD-1931), a known antiviral for RVFV. Data is presented as focus forming units. These data are the cumulation of three independent experiments with technical duplicates.</p

Primary screening data.

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Antiviral effect of compounds on bunyavirus replication.

Vero cells were infected with either RVFV ZH501 (A) or LACV (B) then treated with decreasing concentrations of antiviral compound. Viral growth was measured by FFA. Data represents three independent experiments completed with biological replicates. Error bars represent standard deviation.</p