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.

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Hansch's model is a classic approach to Quantitative Structure-Binding Relationships (QSBR) problems in Pharmacology and Medicinal Chemistry. Hansch QSAR equations are used as input parameters of electronic structure and lipophilicity. In this work, we perform a review on Hansch's analysis. We also developed a new type of PT-QSBR Hansch's model based on Perturbation Theory (PT) and QSBR approach for a large number of drugs reported in CheMBL. The targets are proteins expressed by the Hippocampus region of the brain of Alzheimer Disease (AD) patients. The model predicted correctly 49312 out of 53783 negative perturbations (Specificity = 91.7%) and 16197 out of 21245 positive perturbations (Sensitivity = 76.2%) in training series. The model also predicted correctly 49312/53783 (91.7%) and 16197/21245 (76.2%) negative or positive perturbations in external validation series. We applied our model in theoretical-experimental studies of organic synthesis, pharmacological assay, and prediction of unmeasured results for a series of compounds similar to Rasagiline (compound of reference) with potential neuroprotection effect.

The racemic heterobicyclic amino alcohols 6 and 7, which are of interest as intermediates in the synthesis of nucleoside analogues with heterobicyclic pseudosugars, were efficiently prepared from 2‐thienylsuccinic acid via methyl 4‐hydroxyimino‐5,6‐dihydro‐4H‐cyclopenta[b]thiophene‐6‐carboxylate [(±)‐14]. The target compounds were obtainedtogether by direct reduction of (±)‐14 with AlH3 in refluxing THF, and were separated by flash chromatography of their N‐acetylated derivatives.(© Wiley‐VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2006)

A series of 1¢-homocarbanucleosides was prepared by coupling a purine or pyrimidine to, or constructing it on, a protected 1-methylcyclopenta[c]pyrazole pseudosugar synthesized from (±)-(exo,exo)-1-methyl-4,5,6,7-tetrahydro-4,7-methanoindazole-5,6-diol by oxidative cleavage of the starting glycol, reduction of the resulting dialdehyde with NaBH 4 , and the protective monosilylation of the bis(hydroxymethyl) reduction product.

The first members of a new family of heterocarbobicyclic nucleoside analogues have been synthesized from the cis/trans mixture of (4-amino-5,6-dihydro-4H-cyclopenta[b]thiophen-6-yl)methanols (cis/trans-7). The separation of the cis and trans intermediates during the preparation of the 6-chloropurine derivatives allowed a separate preparation of the purine heterocarbanucleosides cis-10 and trans-11, from which cis-12-14 and trans-16-18 were obtained by replacement of the 6-chloro substituent with amino, hydroxy, and cyclopropylamino groups. Additionally, the 6-phenylpurinyl analogues cis-15 and trans-19 were prepared from cis-10 and trans-11 using Suzuki-Miyaura methodology. In tests of antiviral and cytostatic activities, compound 11 showed cytostatic activity against Molt4/C8 human T lymphoblastic leukemia cells. Antiviral activity was shown by compounds 15 and 19 against Punta Toro virus and Coxackie virus B4 (compound 11).