Challenging clinically unresponsive medullary thyroid cancer: Discovery and pharmacological activity of novel RET inhibitors.

It is now known that "gain of function" mutations of RET (REarranged during Transfection) kinase are specific and key oncogenic events in the onset of thyroid gland cancers such as the Medullary Thyroid Carcinoma (MTC). Although a number of RET inhibitors exist and are capable of inhibiting RET variants, in which mutations are outside the enzyme active site, the majority becomes dramatically ineffective when mutations are within the protein active site (V804L and V804M). Pursuing a receptor-based virtual screening against the kinase domain of RET, we found that compound 5 is able to inhibit efficiently both wild type and V804L mutant RET. Compound 5 was able to significantly reduce proliferation of both commercially available TT cell lines and surgical thyroid tissues obtained from patients with MTC and displayed a suitable drug-like profile, thus standing out as a promising candidate for further development towards the treatment of clinically unresponsive MTC.

QSAR modeling and data mining link Torsades de Pointes risk to the interplay of extent of metabolism, active transport, and HERG liability.

We collected 1173 hERG patch clamp (PC) data (IC50) from the literature to derive twelve classification models for hERG inhibition, covering a large variety of chemical descriptors and classification algorithms. Models were generated using 545 molecules and validated through 258 external molecules tested in PC experiments. We also evaluated the suitability of the best models to predict the activity of 26 proprietary compounds tested in radioligand binding displacement (RBD). Results proved the necessity to use multiple validation sets for a true estimation of model accuracy and demonstrated that using various descriptors and algorithms improves the performance of ligand-based models. Intriguingly, one of the most accurate models uncovered an unexpected link between extent of metabolism and hERG liability. This hypothesis was fairly reinforced by using the Biopharmaceutics Drug Disposition Classification System (BDDCS) that recognized 94% of the hERG inhibitors as extensively metabolized in vivo. Data mining suggested that high Torsades de Pointes (TdP) risk results from an interplay of hERG inhibition, extent of metabolism, active transport, and possibly solubility. Overall, these new findings might improve both the decision making skills of pharmaceutical scientists to mitigate hERG liability during the drug discovery process and the TdP risk assessment during drug development.

Aryltriflates as a Neglected Moiety in Medicinal Chemistry: A Case Study from a Lead Optimization of CXCL8 Inhibitors.

Interleukin-8 and growth related oncogene-α-chemokines (formerly CXCL8 and CXCL1, respectively) mediate chemotaxis of neutrophils to inflammatory sites via interactions with two transmembrane receptors, the type A CXCL8 receptor (CXCR1) and the type B CXCL8 receptor (CXCR2). In a previous work, we published the molecular modeling-driven structure activity relationship (SAR) results culminated in the discovery of R-(-)-2-[(4'-trifluoromethanesulphonyloxy)phenyl]-N-methanesulfonyl propionamide (19), in which an unusual aryltriflate moiety was embedded. Although triflates are broadly used in organic synthesis, this group is scarcely used in medicinal chemistry programs. Here we detail the drug profiling-driven approach used for the selection and characterization of 19, the most potent dual CXCR1 and CXCR2 noncompetitive inhibitor described to date. Reported data suggest that the aryltriflate moiety might represent a valid choice for the selection of clinical candidates with suitable druglike properties.