Identification of 2-(thiophen-2-yl)acetic Acid-Based Lead Compound for mPGES-1 Inhibition

We report the implementation of our in silico/synthesis pipeline by targeting the glutathione-dependent enzyme mPGES-1, a valuable macromolecular target in both cancer therapy and inflammation therapy. Specifically, by using a virtual fragment screening approach of aromatic bromides, straightforwardly modifiable by the Suzuki-Miyaura reaction, we identified 3-phenylpropanoic acid and 2-(thiophen-2-yl)acetic acid to be suitable chemical platforms to develop tighter mPGES-1 inhibitors. Among these, compounds 1c and 2c showed selective inhibitory activity against mPGES-1 in the low micromolar range in accordance with molecular modeling calculations. Moreover, 1c and 2c exhibited interesting IC₅₀ values on A549 cell lines compared to CAY10526, selected as reference compound. The most promising compound 2c induced the cycle arrest in the G₀/G₁ phase at 24 h of exposure, whereas at 48 and 72 h, it caused an increase of subG₀/G₁ fraction, suggesting an apoptosis/necrosis effect.

Discovery of new potent molecular entities able to inhibit mPGES-1

mPGES-1, a glutathione-dependent membrane protein is involved in the last step of PGE₂ production and has been well recognized as a strategic target for the development of anti-inflammatory and anti-cancer agents. It has been proven to selectively control the PGE₂ levels induced by inflammatory stimuli, with neither affecting PGE₂ constitutively produced, nor homeostatic prostanoids, so that its modulation can represent a better strategy to control PGE₂ related disorders, compared to the use of the classical anti-inflammatory drugs, endowed with severe side effects. Despite the intensive research on the identification of potent mPGES-1 inhibitors as attractive candidates for drug development, none of the disclosed molecules, except for LY3023705, which recently entered clinical trials, are available for clinical use, therefore the discovery of new effective mPGES-1 inhibitors with increased drug-like properties are urgently needed. Continuing our work aimed at identifying new chemical platforms able to interact with this enzyme, here we describe the discovery of potent mPGES-1 modulators, featuring a 1-fluoro-2,4-dinitro-biphenyl-based scaffold, by processing and docking a small collection of synthetically accessible molecules, built around two main fragments, disclosed in our in silico screening. The top scoring hits obtained have been synthesized and tested, and five of the predicted compounds showed to potently inhibit mPGES-1 enzyme, without affecting COX enzymes activities.

Improvements, trends, and new ideas in molecular docking: 2012-2013 in review

Molecular docking is a computational method for predicting the placement of ligands in the binding sites of their receptor(s). In this review, we discuss the methodological developments that occurred in the docking field in 2012 and 2013, with a particular focus on the more difficult aspects of this computational discipline. The main challenges and therefore focal points for developments in docking, covered in this review, are receptor flexibility, solvation, scoring, and virtual screening. We specifically deal with such aspects of molecular docking and its applications as selection criteria for constructing receptor ensembles, target dependence of scoring functions, integration of higher-level theory into scoring, implicit and explicit handling of solvation in the binding process, and comparison and evaluation of docking and scoring methods.

Multiple fragment docking and linking in primary and secondary pockets of dopamine receptors

A sequential docking methodology was applied to computationally predict starting points for fragment linking using the human dopamine D3 receptor crystal structure and a human dopamine D2 receptor homology model. Two focused fragment libraries were docked in the primary and secondary binding sites, and best fragment combinations were enumerated. Similar top scoring fragments were found for the primary site, while secondary site fragments were predicted to convey selectivity. Three linked compounds were synthesized that had 9-, 39-, and 55-fold selectivity in favor of D3 and the subtype selectivity of the compounds was assessed on a structural basis.

Virtual fragment screening on GPCRs: a case study on dopamine D3 and histamine H4 receptors

Prospective structure based virtual fragment screening methodologies on two GPCR targets namely the dopamine D3 and the histamine H4 receptors with a library of 12,905 fragments were evaluated. Fragments were docked to the X-ray structure and the homology model of the D3 and H4 receptors, respectively. Representative receptor conformations for ensemble docking were obtained from molecular dynamics trajectories. In vitro confirmed hit rates ranged from 16% to 32%. Hits had high ligand efficiency (LE) values in the range of 0.31-0.74 and also acceptable lipophilic efficiency. The X-ray structure, the homology model and structural ensembles were all found suitable for docking based virtual screening of fragments against these GPCRs. However, there was little overlap among different hit sets and methodologies were thus complementary to each other.