No description available.

Diss. (sammanfattning) Göteborg : Göteborgs universitet, 2010.

Diss. (sammanfattning) Uppsala : Univ., 2004. / Härtill 5 uppsatser.

A flavoenzima diidroorotato desidrogenase (DHODH) catalisa a quarta reação da via de novo de biossíntese de pirimidinas, se destacando como alvo molecular chave para parasitos causadores de Doenças Negligenciadas (DNs). Tendo em vista a demanda por novas alternativas terapêuticas para estas doenças, o objetivo deste trabalho foi a triagem in vitro de inibidores da enzima DHODH de Leishmania major (LmDHODH) em Asteraceae. Esta triagem foi acompanhada por abordagem metabolômica em UHPLC-ESI-HRFTMS para os extratos vegetais e estudos de QSAR (Quantitative Structure-Activity Relationships) para as substâncias isoladas. As etapas experimentais realizadas e os resultados obtidos foram: 1) Ensaios enzimáticos: os valores de IC50 foram determinados para 59 extratos (?IC50: 148,0 ?g.mL-1 a 9,4 mg.mL-1) e 57 substâncias isoladas (?IC50: 27,0 ?M a 2,6 mM). As substâncias mais ativas frente à LmDHODH apresentaram seletividade, ao exercer inibição irrelevante sobre DHODH humana. Adicionalmente, estudos de termoestabilidade confirmaram que as lactonas sesquiterpênicas (STLs) são, de fato, capazes de se ligar a esta enzima; 2) Estudos metabolômicos: as impressões digitais metabólicas por LC-MS foram obtidas com sucesso para os 59 extratos e o processamento dos dados forneceu 3.694 substâncias. A desreplicação por meio de uma biblioteca de padrões identificou com segurança 49 metabólitos secundários. Por meio da correlação in silico com os dados de inibição enzimática, foram determinados com êxito os principais biomarcadores dos extratos e obteve-se um modelo de regressão confiável para predição do potencial de inibição de novos extratos provindos de espécies ainda não testadas frente à LmDHODH, classificando-os como ativos ou inativos com base exclusivamente na sua impressão digital por UHPLC-ESI-HRFTMS; 3) Estudos de QSAR com 21 STLs: o modelo de QSAR baseado em descritores moleculares apresentou robustez e confiabilidade (R2 / Q2 / P2 > 0,6 e RMSE < 0,3), revelando que uma maior inibição desta enzima requer a distribuição balanceada das regiões hidrofóbicas através da superfície molecular, maior largura das moléculas e menor hidrofobicidade. O modelo 3D baseado em descritores farmacofóricos também foi útil (R2: 0,79; Q2: 0,55) e confirmou a importância da orientação adequada dos ligantes, propriedades superficiais e formato das moléculas, refletindo propriedades de um possível sítio de ligação para as STLs na enzima. Portanto, alguns dos produtos naturais testados nesta triagem in vitro são, de fato, capazes de inibir seletivamente a enzima LmDHODH, tratando-se de uma descoberta relevante, visto que uma infinidade de metabólitos secundários leishmanicidas já foram descritos, porém, para a maioria deles, o mecanismo de ação segue desconhecido. Os resultados evidenciaram (1) as espécies de Asteraceae como importante fonte na busca por novos inibidores desta enzima e (2) as substâncias mais ativas como ponto de partida para novas estruturas guias (lead compounds) visando novos fármacos antiparasitários para o tratamento de DNs, especialmente a leishmaniose. / The flavoenzyme dihydroorotate dehydrogenase (DHODH) catalyzes the fourth reaction of the de novo pyrimidine biosynthetic pathway, standing out as a key molecular target for trypanosomatid parasites causing Neglected Diseases (NDs). In view of the global demand for new therapies for such diseases, this study aimed for the in vitro screening of inhibitors of Leishmania major DHODH (LmDHODH) in Asteraceae, accompanied by metabolomic approach with UHPLC-ESI-HRFTMS for plant extracts and QSAR studies (Quantitative Structure-Activity Relationships) for isolated compounds. The experimental steps performed and the results obtained were: 1) Enzymatic assays: the IC50 values were determined for 59 plant extracts (?IC50: 148.0 ?g.mL-1 a 9.4 mg.mL-1) and 57 natural compounds (?IC50: 27.0 ?M a 2.6 mM). The most active compounds showed selectivity against LmDHODH by exercising irrelevant inhibition of human DHODH. In addition, thermostability studies have confirmed that sesquiterpene lactones (STLs) are indeed capable of binding to this enzyme; 2) Metabolomic studies: the metabolic fingerprints by LC-MS were successfully obtained for the 59 extracts and 3,694 peaks/compounds were provided after data processing. The dereplication using a library of natural compounds has safely identified 49 secondary metabolites. By means of in silico correlation with the enzymatic inhibition data, the main biomarkers of the extracts were successfully determined and a reliable regression model was obtained to predict the inhibition potential of new extracts from species not yet tested against LmDHODH, classifying it as active or inactive based solely on their fingerprint by UHPLC-ESI-HRFTMS; 3) QSAR studies with 21 STLs: a reliable QSAR model based on molecular descriptors was obtained (R2 / Q2 / P2 > 0.6 and RMSE < 0.3), which indicated that stronger inhibition requires a balanced distribution of the hydrophobic regions across the molecular surface, as well as higher width and lower hydrophobicity of the molecules. A pharmacophore-based 3D-QSAR approach also afforded a useful model (R2: 0.79; Q2: 0.55), which confirmed the importance of proper orientation of the ligands, molecular surface features and shape for stronger inhibition, reflecting properties of a putative common binding site. Thus, some of the natural products tested in this in vitro screening are actually capable of selectively inhibiting LmDHODH. This constitutes a relevant finding, since an infinity of leishmanicidal compounds have been described, however, for most of them, the mechanism of action remains unknown. The results highlighted (1) Asteraceae species as important sources of new LmDHODH inhibitors and (2) the most active metabolites as promising starting points for new led compounds aiming new antiparasitc drugs for treatment of NDs caused by trypanosomatids, especially leishmaniasis.

The overall aim of this work was to apply HINT, an empirical scoring function based on the understanding of hydrophobicity, to analyze and predict the binding affinities and biological activities of colchicine-site anticancer agents. The second, concurrent aim was to improve the scoring function by incorporating tautomerism within the modeling process. Our belief is that proper evaluation of tautomeric forms for small molecules will improve performance of virtual screening. The novel pyrrole-based compounds targeting the colchicine site were docked into the receptor using HINT as a rescoring function. Two distinct binding modes dictated by the size and shape of a subpocket were predicted to differentiate the highly active compounds from the weak ones. Of the residues predicted to participate in binding for the active binding mode, Cys241β was revealed to form a weak but critical hydrogen bond with the ligand. A larger collection of colchicine-site agents, biologically tested in the same laboratory including our pyrrole-based compounds were subject to 3D quantitative structure-activity relationship (QSAR) study. Using results on docking the pyrrole compounds as a guide, relative binding poses and QSAR models were built to facilitate ligand design and optimization. A new 3D modeling approach was introduced to visually highlight the unique features of highly active compounds and the commonality of all compounds in the dataset using HINT maps and successfully tested on the colchicine-site agents. These results will provide valuable guidance in the future design and development of new colchicine-site agents. To incorporate tautomerism within HINT, we proposed and developed two workflow approaches: a general search tool using a simple and intuitive algorithm analyzing hydrogen shift patterns to identify and enumerate tautomeric structures, and a database that contains commonly observed tautomeric structures. The first approach was designed for small-scale docking studies and the second approach was designed for large-scale virtual screening. The tautomer module in HINT will give more accurate modeling results when the compound encountered is able to tautomerize.

Methcathinone (MCAT) is the β-ketone analog of methamphetamine, and like its amphetamine analog, MCAT functions as a monoamine releaser that selectively promotes the release of dopamine (DA) and norepinephrine (NE) over serotonin (5-HT). MCAT produces amphetamine-like psychostimulant effects and is classified as a Schedule I drug of abuse by the United States Drug Enforcement Administration (DEA). Recently, synthetic MCAT analogs have emerged as designer drugs of abuse in Europe and the United States and have been marketed under deceptively benign names like “bath salts” in an attempt to evade legal restriction. These dangerous, recently emergent and novel drugs of abuse display varying selectivity to promote release of DA/NE vs. 5-HT, and selectivity for DA neurotransmission is believed to correlate with abuse liability. The goal of this dissertation was to conduct preclinical research to examine structural determinants of abuse-related behavioral and neurochemical effects produced by a series of synthetic MCAT analogs. Specifically, this project focused on one feature of the methcathinone scaffold: the para substituent of the benzene ring. A series of six novel MCAT analogs will be examined to evaluate how physicochemical parameters (steric, Es; electronic, σp; lipophilic, πp) of the para substituent influence in vitro monoamine transporter selectivity as well as in vivo neurochemical and behavioral effects. Results from this body of work implicate steric factors as being particularly important in determining a compound’s abuse-related neurochemical and behavioral effects. Thus, these data not only offer an improved understanding of the mechanism of abuse-related drug effects produced by synthetic MCAT analogs, but also help in the generation of homology models of the human DA and 5-HT transporters (DAT and SERT, respectively).

No description available.

No description available.

This thesis develops an integrated methodology based on the desirability index and QSAR models to virtually optimise molecules. Statistical and algorithmic tools are proposed to search in huge collections of compounds obtained by combinatorial chemistry the most promising ones. First, once the drugability properties of interest have been precisely defined, QSAR models are developed to mimic the relationship between those optimised properties and chemical descriptors of molecules. The literature on QSAR models is reviewed and the statistical tools to validate the models, analyse their fit and their predictive power are detailed. Even if a QSAR model has been validated and sounds highly predictive, we emphasise the importance of measuring extrapolation by the definition of its applicability domain and quantifying the prediction error for a given molecule. Indeed, QSAR models are often massively applied to predict drugability properties for libraries of new compounds without taking care of the reliability of each individual prediction. Then, a desirability index measures the compromise between the multiple estimated drugability properties and allows to rank the molecules in the combinatorial library in preference order. The propagation of the models prediction error on the desirability index is quantified by a confidence interval that can be constructed under general conditions for linear regression, PLS regression or regression tree models. This fulfills an important lack of the desirability index literature that considers it as exact. Finally, a new efficient algorithm (WEALD) is proposed to virtually screen the combinatorial library and retain the molecule with the highest desirability indexes. For each explored molecule, it is checked if it belongs to the applicability domain of each QSAR models. In addition, the uncertainty of the desirability index of each explored molecule is taken into account by gathering molecules that can not be distinguished from the optimal one due to the propagation of QSAR models prediction error. Those molecules do not have a significantly smaller desirability than the optimal molecule found by WEALD. This constitutes another important improvement in the use of desirability index as a tool to compare solutions in a multicriteria optimisation problem. This integrated methodology has been developed in the context of lead optimisation and is illustrated on a real combinatorial library provided by Eli Lilly and Company. This is the main application of the thesis. Nevertheless, as the results on desirability index uncertainty are applicable under general conditions, they can be applied to any multicriteria optimisation problem, like it often occurs in industry.

Preparou-se, neste trabalho, nove cloridratos de N,N- [(dimetilamino)metil]benzamidas-p-X-substituidas em que X = N02, Br, Cl, I, F, H, CH3, OCH3 e N(CH3)2, SÉRIE II, ainda não descritos na literatura, a partir das respectivas bases, SÉRIE I. Os compostos obtidos foram identificados por seus espectros de I.V e RMN1H, e suas purezas determinadas por análise elementar e ponto de fusão. A seguir, determinou-se os valores de vC=O (cm-l ) em HCCl3, como medida de sua polaridade tanto para os compostos da SÉRIE I como para os da SÉRIE II. A aplicação da equação de HAMMETT, simples e expandida, aos valores obtidos forneceu excelentes correlações, verificando-se que os efeitos eletrônicos que os substituintes exercem sobre o grupo carbonila são de natureza indutiva e de ressonância, não havendo predominância de um sobre o outro. Determinou-se também, por bloqueio nervoso periférico em pata de rato, o grau de atividade anestésica local de sete dos nove compostos da SÉRIE II. A aplicação da equação de HANSCH aos valores de atividade anestésica local mostrou haver correlação razoável considerando-se os efeitos eletrônicos e hidrofóbicos exercidos pelos substituintes. A análise dos coeficientes de regressão obtidos sugere haver contribuição preponderante dos efeitos eletrônicos em relação à contribuição do efeito hidrofóbico para a atividade anestésica local. / In the present work nine N,N-[(dimethyl amino)methyl]benzamides-p-X-substituededs hydrochlorides (SERIES II) were prepared from the corresponding bases, (SERIES I), where X = N02, Br, Cl, I, F, H, CH3, OCH3 and N(CH3)3. The purity of the novel compounds, SERIES II, was established by elemental analysis. The recorded infrared and 1HNMR spectra were in agreement with their structures. For both sets of compounds the carbonyl group infrared frequencies in HCCl3 were determined and used as measurement of the polarity of the group. The obtained vC=O (cm-1) values showed excellent correlations when a simple or a multiparameter HAMMETT equation was applied. This suggests that the eletronic effect of the substituents on the carbonyl stretching frequencies is of inductive and ressonanee nature, without predominances of one over the other. Were also determined by peripheryc nervous blockade on rats paw, the degree of local anesthetic activity on seven of the nine compounds of SERIES II. The application of the HANSCH equation to the local anesthetie activity values showed reasonable correlation when the eletronic and hydrophobic effects of the substituents were considered. Analysis of the obtained regression coefficents suggest that the contribution of the former effect to the local anesthetic activity predominants.