Development of HuperTacrines as non-toxic, cholinesterase inhibitors for the potential treatment of Alzheimer's disease.

This paper describes our preliminary results on the ADMET, synthesis, biochemical evaluation, and molecular modeling of racemic HuperTacrines (HT), new hybrids resulting from the juxtaposition of huperzine A and tacrine for the potential treatment of Alzheimer's disease (AD). The synthesis of these HT was executed by Friedländer-type reactions of 2-amino-6-oxo-1,6-dihydropyridine-3-carbonitriles, or 7-amino-2-oxo-1,2,3,4-tetrahydro-1,6-naphthyridine- 8-carbonitriles, with cyclohexanone. In the biochemical evaluation, initial and particular attention was devoted to test their toxicity on human hepatoma cells, followed by the in vitro inhibition of human cholinesterases (hAChE, and hBuChE), and the kinetics/mechanism of the inhibition of the most potent HT; simultaneous molecular modeling on the best HT provided the key binding interactions with the human cholinesterases. >From these analyses, (±)-5-amino-3-methyl- 3,4,6,7,8,9-hexahydrobenzo[b][1,8]naphthyridin-2(1H)-one (HT1) and (±)-5-amino-3-(2,6-dichlorophenyl)-3,4,6,7,8,9- hexahydrobenzo[b][1,8]naphthyridin-2(1H)-one (HT3) have emerged as characterized by extremely low liver toxicity reversible mixed-type, selective hAChE and, quite selective irreversible hBuChEIs, respectively, showing also good druglike properties for AD-targeted drugs.

Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates.

In a multi-target complex network, the links (L(ij)) represent the interactions between the drug (d(i)) and the target (t(j)), characterized by different experimental measures (K(i), K(m), IC50, etc.) obtained in pharmacological assays under diverse boundary conditions (c(j)). In this work, we handle Shannon entropy measures for developing a model encompassing a multi-target network of neuroprotective/neurotoxic compounds reported in the CHEMBL database. The model predicts correctly >8300 experimental outcomes with Accuracy, Specificity, and Sensitivity above 80%-90% on training and external validation series. Indeed, the model can calculate different outcomes for >30 experimental measures in >400 different experimental protocolsin relation with >150 molecular and cellular targets on 11 different organisms (including human). Hereafter, we reported by the first time the synthesis, characterization, and experimental assays of a new series of chiral 1,2-rasagiline carbamate derivatives not reported in previous works. The experimental tests included: (1) assay in absence of neurotoxic agents; (2) in the presence of glutamate; and (3) in the presence of H2O2. Lastly, we used the new Assessing Links with Moving Averages (ALMA)-entropy model to predict possible outcomes for the new compounds in a high number of pharmacological tests not carried out experimentally.

MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.

Many drugs with very different affinity to a large number of receptors are described. Thus, in this work, we selected drug-target pairs (DTPs/nDTPs) of drugs with high affinity/nonaffinity for different targets. Quantitative structure-activity relationship (QSAR) models become a very useful tool in this context because they substantially reduce time and resource-consuming experiments. Unfortunately, most QSAR models predict activity against only one protein target and/or they have not been implemented on a public Web server yet, freely available online to the scientific community. To solve this problem, we developed a multitarget QSAR (mt-QSAR) classifier combining the MARCH-INSIDE software for the calculation of the structural parameters of drug and target with the linear discriminant analysis (LDA) method in order to seek the best model. The accuracy of the best LDA model was 94.4% (3,859/4,086 cases) for training and 94.9% (1,909/2,012 cases) for the external validation series. In addition, we implemented the model into the Web portal Bio-AIMS as an online server entitled MARCH-INSIDE Nested Drug-Bank Exploration & Screening Tool (MIND-BEST), located at http://miaja.tic.udc.es/Bio-AIMS/MIND-BEST.php . This online tool is based on PHP/HTML/Python and MARCH-INSIDE routines. Finally, we illustrated two practical uses of this server with two different experiments. In experiment 1, we report for the first time a MIND-BEST prediction, synthesis, characterization, and MAO-A and MAO-B pharmacological assay of eight rasagiline derivatives, promising for anti-Parkinson drug design. In experiment 2, we report sampling, parasite culture, sample preparation, 2-DE, MALDI-TOF and -TOF/TOF MS, MASCOT search, 3D structure modeling with LOMETS, and MIND-BEST prediction for different peptides as new protein of the found in the proteome of the bird parasite Trichomonas gallinae, which is promising for antiparasite drug targets discovery.

Design, synthesis, and vasorelaxant and platelet antiaggregatory activities of coumarin-resveratrol hybrids.

We have synthesized the coumarin-resveratrol hybrid 4 and its dimethoxy derivative 3 by a very direct synthetic route involving a Pechmann procedure. Compound 4 has also been synthesized by an alternative route (Perkin), which also allowed the synthesis of compounds 9-13. In addition, we have evaluated the potential vasorelaxant activity of the new compounds in endothelium-containing rat aorta rings pre-contracted with noradrenaline, as well as the inhibitory effects on platelet aggregation induced by thrombin in washed human platelets. The compounds reported here relaxed vascular smooth muscle and inhibited platelet aggregation with a profile similar to that of trans-resveratrol (t-RESV) and, in some cases, showed activity higher than that of the natural compound. This is the case for compound 13, which has a vasorelaxant activity that is twice as high as that of t-resveratrol and a platelet antiaggregant activity that is six times higher. These results suggest that these novel compounds may have potential as structural templates for the design and subsequent development of new vasodilatory and platelet antiaggregatory drugs.