Identification of Novel GPR55 Modulators Using Cell-Impedance-Based Label-Free Technology.

The orphan G protein-coupled receptor GPR55 has been proposed as a novel receptor of the endocannabinoid system. However, the validity of this categorization is still under debate mainly because of the lack of potent and selective agonists and antagonists of GPR55. Binding assays are not yet available for GPR55 screening, and discrepancies in GPR55 mediated signaling pathways have been reported. In this context, we have designed and synthesized novel GPR55 ligands based on a chromenopyrazole scaffold. Appraisal of GPR55 activity was accomplished using a label-free cell-impedance-based assay in hGPR55-HEK293 cells. The real-time impedance responses provided an integrative assessment of the cellular consequence to GPR55 stimulation taking into account the different possible signaling pathways. Potent GPR55 partial agonists (14b, 18b, 19b, 20b, and 21-24) have been identified; one of them (14b) being selective versus classical cannabinoid receptors. Upon antagonist treatment, chromenopyrazoles 21-24 inhibited lysophosphatidylinositol (LPI) effect. One of these GPR55 antagonists (21) is fully selective versus classic cannabinoid receptors. Compared to LPI, the predicted physicochemical parameters of the new compounds suggest a clear pharmacokinetic improvement.

Antiprotozoan lead discovery by aligning dry and wet screening: prediction, synthesis, and biological assay of novel quinoxalinones.

Protozoan parasites have been one of the most significant public health problems for centuries and several human infections caused by them have massive global impact. Most of the current drugs used to treat these illnesses have been used for decades and have many limitations such as the emergence of drug resistance, severe side-effects, low-to-medium drug efficacy, administration routes, cost, etc. These drugs have been largely neglected as models for drug development because they are majorly used in countries with limited resources and as a consequence with scarce marketing possibilities. Nowadays, there is a pressing need to identify and develop new drug-based antiprotozoan therapies. In an effort to overcome this problem, the main purpose of this study is to develop a QSARs-based ensemble classifier for antiprotozoan drug-like entities from a heterogeneous compounds collection. Here, we use some of the TOMOCOMD-CARDD molecular descriptors and linear discriminant analysis (LDA) to derive individual linear classification functions in order to discriminate between antiprotozoan and non-antiprotozoan compounds as a way to enable the computational screening of virtual combinatorial datasets and/or drugs already approved. Firstly, we construct a wide-spectrum benchmark database comprising of 680 organic chemicals with great structural variability (254 of them antiprotozoan agents and 426 to drugs having other clinical uses). This series of compounds was processed by a k-means cluster analysis in order to design training and predicting sets. In total, seven discriminant functions were obtained, by using the whole set of atom-based linear indices. All the LDA-based QSAR models show accuracies above 85% in the training set and values of Matthews correlation coefficients (C) vary from 0.70 to 0.86. The external validation set shows rather-good global classifications of around 80% (92.05% for best equation). Later, we developed a multi-agent QSAR classification system, in which the individual QSAR outputs are the inputs of the aforementioned fusion approach. Finally, the fusion model was used for the identification of a novel generation of lead-like antiprotozoan compounds by using ligand-based virtual screening of 'available' small molecules (with synthetic feasibility) in our 'in-house' library. A new molecular subsystem (quinoxalinones) was then theoretically selected as a promising lead series, and its derivatives subsequently synthesized, structurally characterized, and experimentally assayed by using in vitro screening that took into consideration a battery of five parasite-based assays. The chemicals 11(12) and 16 are the most active (hits) against apicomplexa (sporozoa) and mastigophora (flagellata) subphylum parasites, respectively. Both compounds depicted good activity in every protozoan in vitro panel and they did not show unspecific cytotoxicity on the host cells. The described technical framework seems to be a promising QSAR-classifier tool for the molecular discovery and development of novel classes of broad-antiprotozoan-spectrum drugs, which may meet the dual challenges posed by drug-resistant parasites and the rapid progression of protozoan illnesses.

X-ray diffraction, solution structure, and computational studies on derivatives of (3-sec-butyl-2,3-dihydro-1H-isoquinolin-4-ylidene)acetic acid: compounds with activity as calpain inhibitors.

A thorough experimental and computational study of derivatives of (3-sec-butyl-2,3-dihydroisoquinolin-4-ylidene)acetic acid was performed. Some of these compounds are calpain inhibitors and could be useful as therapeutic agents, since this enzyme is a Ca(2+)-dependent cysteine protease involved in a wide variety of metabolic and physiological processes, whose over-activation is associated to several pathological conditions. To gain a better understanding of the structure-activity relationships, a structural analysis was carried out with (1)H and (13)C NMR spectroscopy and DFT calculations together with the X-ray diffraction data of three compounds. The solid state structures showed that the crystal packing as well as the intermolecular interactions depend on the substituent nature of the COOR group. Also, the reactivity of the exocyclic double bond was theoretically evaluated, finding that the more reactive compound is the most potent inhibitor of calpain (IC(50) = 25 nM).