Optimization of Novel 1-Methyl-1H-Pyrazole-5-carboxamides Leads to High Potency Larval Development Inhibitors of the Barber’s Pole Worm
摘要:
A phenotypic screen of a diverse library of small molecules for inhibition of the development of larvae of the parasitic nematode Haemonchus contortus led to the identification of a 1-methyl-1H-pyrazole-5-carboxamide derivative with an IC50 of 0.29 mu M. Medicinal chemistry optimization targeted modifications on the left-hand side (LHS), middle section, and right-hand side (RHS) of the scaffold in order to elucidate the structure-activity relationship (SAR). Strong SAR allowed for the iterative and directed assembly of a focus set of 64 analogues, from which compound 60 was identified as the most potent compound, inhibiting the development of the fourth larval (L4) stage with an IC50 of 0.01 mu M. In contrast, only 18% inhibition of the mammary epithelial cell line MCF10A viability was observed, even at concentrations as high as 50 mu M.
Structure-kinetics relationships of Capadenoson derivatives as adenosine A 1 receptor agonists
作者:Julien Louvel、Dong Guo、Marjolein Soethoudt、Tamara A.M. Mocking、Eelke B. Lenselink、Thea Mulder-Krieger、Laura H. Heitman、Adriaan P. IJzerman
DOI:10.1016/j.ejmech.2015.07.023
日期:2015.8
We report the synthesis and biological evaluation of new derivatives of Capadenoson, a former drug candidate that was previously advanced to phase Ha clinical trials. 19 of the 20 ligands show an affinity below 100 nM at the human adenosine A(1) receptor (hA(1)AR) and display a wide range of residence times at this target (from approx. 5 min (compound 10) up to 132 min (compound 5)). Structure-affinity and structure-kinetics relationships were established, and computational studies of a homology model of the hA(1)AR revealed crucial interactions for both the affinity and dissociation kinetics of this family of ligands. These results were also combined with global metrics (Ligand Efficiency, cLogP), showing the importance of binding kinetics as an additional way to better select a drug candidate amongst seemingly similar leads. (C) 2015 Elsevier Masson SAS. All rights reserved.