Critical properties, liquid vapour pressures and liquid viscosities are important thermophysical properties required for the design, simulation and optimisation of chemical plants. Unfortunately, experimental data for these properties are in most cases not available. Synthesis of sufficiently pure material and measurements of these data are expensive and time consuming. In many cases, the chemicals degrade or are hazardous to handle which makes experimental measurements difficult or impossible. Consequently, estimation methods are of great value to engineers. In this work, new group contribution methods have been developed for the estimation of critical properties, liquid vapour pressures and liquid viscosities of non-electrolyte organic compounds. The methods are based on the previous work of Nannoolal (2004) & Nannoolal et al. (2004) with minor modifications of structural group definitions. Critical properties, viz. critical temperature, critical pressure and critical volume, are of great practical importance as they must be known in order to use correlations based on the law of corresponding states. However, there is a lack of critical property data in literature as these data are difficult or in many cases impossible to measure. Critical property data are usually only available for smaller molecules of sufficient thermal stability. The proposed group contribution method for the estimation of critical properties reported an average absolute deviation of 4.3 K (0.74%), 100 kPa (2.96%) and 6.4 cm3.mol1 (1.79%) for a set of 588 critical temperatures, 486 critical pressures and 348 critical volumes stored in the Dortmund Data Bank (DDB (2006)), respectively. These results were the lowest deviations obtained when compared to ten well known estimation methods from literature. In addition, the method showed a wider range of applicability and the lowest probability of prediction failure and leads to physically realistic extrapolation when applied to a test set of components not included in the training set. For the estimation of the critical temperature using the new method, knowledge about the normal boiling point is required. If there is no information on the latter property, then the previous group contribution estimation method can be employed for estimation. Because of their great importance in chemical engineering, liquid vapour pressures have received much attention in literature. There is currently an abundance of experimental data for vapour pressures, especially for smaller molecules, but data are scarce or of low quality for larger and more complex molecules of low volatility. The estimation of liquid vapour pressures from molecular structure has met with very limited success. This is partly due to the high quality predictions required for vapour pressures for use in the design of for example distillation columns. This work presents a new technique for the estimation of liquid vapour pressures by developing a two-parameter equation where separate parameters model the absolute value and slope while at the same time the equation is able to approximate the nonlinearity of the curve. The fixed point or absolute value chosen was the normal boiling point for which a large amount of experimental data is available. A group contribution estimation of the slope was then developed which showed nearly no probability of prediction failure (high deviation). Employing experimental normal boiling points in the method, an absolute relative deviation of 6.2% in pressure for 1663 components or 68835 (68670 from DDB and 165 from Beilstein) data points was obtained. This result is in comparable accuracy or slightly higher in deviation than correlative models such as the Antoine and DIPPR equations (direct correlations). A test of the predictive capability by employing data that were not used in the training set also showed similar results. Estimations are possible up to the inflection point or a reduced normal boiling temperature of ±1.2. If there is no information about the experimental normal boiling point, two options are recommended to obtain this value. The first and more reliable is back-calculation using the known boiling point at other pressures and the estimated slope of the vapour pressure equation. Results in this case are similar to cases where experimental normal boiling points were used. The second possibility is to estimate the normal boiling point using the method developed previously. In this case, an absolute relative deviation of 27.0% in pressure is obtained. The saturated liquid viscosity is an important transport property that is required for many engineering applications. For this property, experimental data are limited to mostly simple and more common components and, even for these components the data often cover only a small temperature range. There have been many different approaches to estimate liquid viscosities of organic compounds. However, correlative and empirical methods are often the only or preferred means to obtain liquid viscosities. The technique used for the estimation of the liquid viscosity is similar to that in case of liquid vapour pressures, i.e. a two-parameter equation models the absolute value, slope and the non-linearity of the curve. As there was no convenient reference point at a standard viscosity available to model the absolute value (viscosity reference temperature), an algorithm was developed to calculate this temperature which was chosen at a viscosity of 1.3 cP. This work then presents a group contribution estimation of the slope and using calculated or adjusted reference temperatures, an absolute relative deviation of 3.4% in viscosity for 829 components or 12861 data points stored in the DDB was obtained. This result is in comparable accuracy or slightly higher in deviation than correlative models such as the Andrade and Vogel equations (direct correlations). The estimation method has an upper temperature limit which is similar to the limit in case of liquid vapour pressures. If no data are available for a viscosity close to 1.3 cP then, as in case of the vapour pressure estimation method, the temperature can be back calculated from data at other viscosity values. Alternately, the viscosity reference temperature can be estimated by a group contribution method developed in this work. This method reported an average absolute deviation of 7.1 K (2.5%) for 813 components. In case both the slope and absolute value were estimated for the liquid viscosity curve, an average absolute deviation of 15.3 % in viscosity for 813 components or 12139 data points stored in the DDB was obtained. The new method was shown to be far more accurate than other group contribution methods and at the same time has a wider range of applicability and lower probability of prediction failure. For the group contribution predictions, only the molecular structure of the compound is used. Structural groups were defined in a standardized form and fragmentation of the molecular structures was performed by an automatic procedure to eliminate any arbitrary assumptions. To enable comparison, chemical family definitions have been developed that allow one to automatically classify new components and thus inform the user about the expected reliability of the different methods for a component of interest. Chemical family definitions are based on the kind and frequency of the different structural groups in the molecule. / Thesis (Ph.D.)-University of KwaZulu-Natal, Durban, 2006.

A tuberculose (TB) é uma doença causada pelo Mycobacterium tuberculosis. De acordo com estimativas da Organização Mundial da Saúde, a tuberculose é responsável pela morte de ~2 a 3 milhões de pessoas/ano no mundo e nos próximos 15 anos cerca de 1 bilhão de pessoas deverão ser infectadas, e destas, aproximadamente 35 milhões deverão morrer. Apesar de existirem vários medicamentos sendo utilizados no tratamento da doença, constatasse o crescimento no número de casos devido, principalmente, às variedades resistentes do M. tuberculosis. Considerando-se o aparecimento de cepas resistentes em TB, recomenda-se que novos medicamentos e/ou alvos biológicos alternativos devam ser intensivamente pesquisados. A ribonucleotídeo redutase (RNR), por exemplo, é uma proteína de interesse, pois catalisa uma etapa importante e única na síntese de novo dos dNTPs, reduzindo o ribonucleosídeo 5\' -difosfato ao seu correspondente desoxirribonucleosídeo 5\' -difosfato. A RNR é importante na síntese do DNA, e portanto, na divisão das células. Esta enzima importante, que possuí 16% de homologia com a RNR de mamíferos, é um alvo potencial para o desenvolvimento de novos fármacos, com provável aplicação no tratamento do câncer, da malária e do tripanossoma. Sabe-se que diferentes classes de compostos, através de diferentes mecanismos de ação, inibem a RNR, incluindo as α-(N)-heterocíclicas carboxaldeído tiossemicarbazonas, um dos inibidores mais potentes da RNR. Sabe-se que alguns derivados da tiossemicarbazona, inibidoras da RNR de células tumorais, apresentam atividade frente o M. tuberculosis atuando provavelmente através do mesmo mecanismo, envolvendo a inibição da correspondente RNR. Neste contexto, nesta tese de doutorado, foram aplicadas diferentes abordagens de QSAR/QSAR-3D no estudo de 40 derivados da 2-piridino-carboxaldeído tiossemicarbazona, inibidores da RNR de células H.Ep.-2, retirados de literatura selecionada (French & Blanz-Jr. 1974). Estes compostos foram divididos em cinco séries, a saber: séries A, B, C, D, e E contendo, respectivamente, 40, 39, 30, 23 e 22 compostos, na tentativa de tornar estas séries estruturalmente mais homogêneas. Para cada série, foram criados três grupos de treinamento e os respectivos grupos de teste (I, II e III), visando-se avaliar o poder de predição dos modelos gerados através das análises de QSAR/QSAR-3D. Para as análises de QSAR clássico, foram utilizados como variáveis independentes, os descritores mais relevantes gerados através do programa DRAGON e, pré-selecionados por PLS. Considerando-se a ausência de informações sobre a estrutura cristalográfica da enzima RNR do M. tuberculosis, os estudos de QSAR-3D foram iniciados empregando-se metodologias propostas em CoMFA e, em CoMSIA, implementadas no programa SYBYL. Além destas, foi realizada a modelagem por homologia da RNR do M. tuberculosis, utilizando-se o programa WHATIF. Para as abordagens CoMFA e CoMSIA as geometrias otimizadas através do método semi-empírico AM1 foram alinhadas átomo-a-átomo e, através da similaridade dos respectivos campos estéricos e eletrostáticos, utilizando-se o programa SEAL. Nos dois procedimentos a geometria do composto não substituído, um dos mais ativos na série, foi utilizada como molde considerando-se a ausência de informações sobre a conformação bioativa. A modelagem da RNR por homologia foi realizada utilizando-se como molde as estruturas cristalográficas, respectivamente, do C. ammoniagenes (código PDB 1KGN) e da S. typhimurium (código PDB 1R2F), sambas apresentando valores de identidade superior a 65%. Mais recentemente foram publicados os dados cristalográficos para a cadeia beta (subunidade menor) da RNR do M. tuberculosis (código PDB 1UZR). Os modelos CoMFA e CoMSIA gerados apresentaram valores aceitáveis para os coeficientes de correlação de predição, com altos valores para os coeficientes de correlação ajustados e baixos valores para os erros padrões. Os melhores modelos CoMFA e CoMSIA foram obtidos considerando o grupo com substituintes apenas na posição 5 do anel piridínico. Razoáveis coeficientes de correlação de predição para os modelos CoMSIA com altos coeficientes de correlação de ajuste e baixos valores para os erros padrões forma obtidos. Os mapas de contorno gerados em CoMFA e CoMSIA sugerem que grupos aceptores de ligações de hidrogênio próximos ao nitrogênio do anel piridínico deverá aumentar o valor da atividade inibitória. Esta observação está em boa concordância com os dados da literatura, na qual a formação de um complexo entre a TSC e o íon Ferro foi sugerido para a inibição da RNR. Estes estudos deverão permitir um melhor entendimento sobre as características estruturais desta classe de TSC inibidoras da RNR, como agentes antitumorais, em termos dos campos estéricos, eletrostáticos, hidrofóbico, doador e aceptor de ligações de hidrogênio, bem como a contribuição para o desenvolvimento racional de novos inibidores para esta importante enzima. Adicionalmente, dois compostos preparados em nosso laboratório, demonstraram atividade frente o M. tuberculosis, em testes realizados in vivo. / Tuberculosis is an illness caused by Mycobacterium tuberculosis. Data from World Health Organization (WHO) estimates, that about 2-3 millions of human population died by Mycobacterium tuberculosis infection and that during the next 15 years about 1 billion will be infected and 35 million will certainly die. Although, in the clinic it was found several antiTBdrugs, these numbers will increase due several reasons including M. tuberculosis resistant strains. It has been stressed the importance of novel medicines and/or alternative biological targets research projects. It is known that Ribonucleotide reductase (RNR), is an enzyme that catalyses the rate limiting step in the de novo synthesis of dNTPs, reducing the ribonucleoside 5\'-diphosphates to the corresponding deoxyribonuc1eoside 5\' -diphosphates. RNR has a critical role in the DNA synthesis and, hence, cell division. This key enzyme, that shows 16% homology when compared with mammals RNR, is a potential target for drug design of cell growth inhibitors, with potential application in cancer therapy, antimalaria and trypanosome chemotherapy. It is known that different types of compounds or species by means of different mechanism pathways can show RNR inhibition, including α-(N)-heterocyclic carboxaldehydes thiosemicarbazones that are one of the most potent classes of RNR inhibitors. More than that, some of them, that shows activity against M. tuberculosis seems to follow the same mechanism pathways proposed to the thiosemicarbazones tumor cells activity that means, that they probably are RNR inhibitors. In this study, a series of 40 α-(N)-2-formyl-pyridine thiosemicarbazone derivatives tested against RNR of H.ep.-2-cells (human epidermoid carcinoma), taken from selected literature (French & Blanz-Jr. 1974), has quantitatively analyzed by means of several QSAR/3D-QSAR approaches. These compounds were divided into 5 individual subsets, namely A, B, C, D, and E, having 40, 39, 30, 23 e 22 compounds, respectively. This procedure has been done in order to achieve more structurally homogeneous subsets. For each set, three individual training and test sets (I,II and III) have been created in order to evaluate the predictivity power of the generated QSAR/3D-QSAR models. QSAR analysis have been done using descriptors generated by DRAGON program that have been further pre-selected by PLS procedures. Considering that crystallographic data of RNR M. tuberculosis are not available in the literature, 3D-QSAR studies have been done these applying, initially, CoMFA and CoMSIA approaches, implemented in SYBYL. Homology model studies have been performed with WHATIF program CoMFA e CoMSIA approaches used optimized geometry obtained by semi-empirical AM1 methods that have been aligned by two different methods. Rigid alignment, in which the compounds were fitted atom-by-atom onto a template, based on the root mean square fit. The N(l) and C(2) atoms of the pyridine moiety and the heavy atoms of thiosemicarbazone backbone of TSC were used as template structure. (2) Field based, in which the steric and electrostatic fields, generated by the SEAL program were considered in the alignment. In both procedures the unsubstituted 2-formylpyridine thiosemicarbazone in its syn conformation, has been taken as template. Homology RNR models were done using as template crystallographic data of ammoniagenes (1KGN) and S. typhimurium (1R2F) as template, respectively, with identity larger than 65%. More recent1y new crystallographic data have been published for the beta chain (smaller subunity) of RNR do M. tuberculosis (1UZR). CoMFA and CoMSIA generated models showed acceptable predictive correlation coefficients with high fitted correlation coefficients and low standard errors. Betler CoMFA and CoMSIA models have been derived considering a homogeneous subset of TSC substituted only at 5-position in pyridine ring. Reasonable predictive correlation coefficients for CoMSIA models with high fitted correlation coefficients and very low standard errors were obtained. The derived CoMFA and CoMSIA countour maps suggested that a hydrogen bond acceptor near the nitrogen pyridine ring could enhance inhibitory activity value. This observation is in good agreement with literature, in which a complex formation between TSC and iron ion has been suggested, to RNR inhibition. These studies are expected to enhance the understanding of the structural features of this class of TSC-RNR inhibitors as antitumor agents in terms of steric, electrostatic, hydrophobic and hydrogen donor and acceptor fields as well as to contribute to rational design of inhibitors of this key enzyme. Additionally, two compounds that have been prepared by us showed activity against M. tuberculosis using in vivo test system.

A tuberculose (TB) é uma doença causada pelo Mycobacterium tuberculosis. De acordo com estimativas da Organização Mundial da Saúde, a tuberculose é responsável pela morte de ~2 a 3 milhões de pessoas/ano no mundo e nos próximos 15 anos cerca de 1 bilhão de pessoas deverão ser infectadas, e destas, aproximadamente 35 milhões deverão morrer. Apesar de existirem vários medicamentos sendo utilizados no tratamento da doença, constatasse o crescimento no número de casos devido, principalmente, às variedades resistentes do M. tuberculosis. Considerando-se o aparecimento de cepas resistentes em TB, recomenda-se que novos medicamentos e/ou alvos biológicos alternativos devam ser intensivamente pesquisados. A ribonucleotídeo redutase (RNR), por exemplo, é uma proteína de interesse, pois catalisa uma etapa importante e única na síntese de novo dos dNTPs, reduzindo o ribonucleosídeo 5\' -difosfato ao seu correspondente desoxirribonucleosídeo 5\' -difosfato. A RNR é importante na síntese do DNA, e portanto, na divisão das células. Esta enzima importante, que possuí 16% de homologia com a RNR de mamíferos, é um alvo potencial para o desenvolvimento de novos fármacos, com provável aplicação no tratamento do câncer, da malária e do tripanossoma. Sabe-se que diferentes classes de compostos, através de diferentes mecanismos de ação, inibem a RNR, incluindo as α-(N)-heterocíclicas carboxaldeído tiossemicarbazonas, um dos inibidores mais potentes da RNR. Sabe-se que alguns derivados da tiossemicarbazona, inibidoras da RNR de células tumorais, apresentam atividade frente o M. tuberculosis atuando provavelmente através do mesmo mecanismo, envolvendo a inibição da correspondente RNR. Neste contexto, nesta tese de doutorado, foram aplicadas diferentes abordagens de QSAR/QSAR-3D no estudo de 40 derivados da 2-piridino-carboxaldeído tiossemicarbazona, inibidores da RNR de células H.Ep.-2, retirados de literatura selecionada (French & Blanz-Jr. 1974). Estes compostos foram divididos em cinco séries, a saber: séries A, B, C, D, e E contendo, respectivamente, 40, 39, 30, 23 e 22 compostos, na tentativa de tornar estas séries estruturalmente mais homogêneas. Para cada série, foram criados três grupos de treinamento e os respectivos grupos de teste (I, II e III), visando-se avaliar o poder de predição dos modelos gerados através das análises de QSAR/QSAR-3D. Para as análises de QSAR clássico, foram utilizados como variáveis independentes, os descritores mais relevantes gerados através do programa DRAGON e, pré-selecionados por PLS. Considerando-se a ausência de informações sobre a estrutura cristalográfica da enzima RNR do M. tuberculosis, os estudos de QSAR-3D foram iniciados empregando-se metodologias propostas em CoMFA e, em CoMSIA, implementadas no programa SYBYL. Além destas, foi realizada a modelagem por homologia da RNR do M. tuberculosis, utilizando-se o programa WHATIF. Para as abordagens CoMFA e CoMSIA as geometrias otimizadas através do método semi-empírico AM1 foram alinhadas átomo-a-átomo e, através da similaridade dos respectivos campos estéricos e eletrostáticos, utilizando-se o programa SEAL. Nos dois procedimentos a geometria do composto não substituído, um dos mais ativos na série, foi utilizada como molde considerando-se a ausência de informações sobre a conformação bioativa. A modelagem da RNR por homologia foi realizada utilizando-se como molde as estruturas cristalográficas, respectivamente, do C. ammoniagenes (código PDB 1KGN) e da S. typhimurium (código PDB 1R2F), sambas apresentando valores de identidade superior a 65%. Mais recentemente foram publicados os dados cristalográficos para a cadeia beta (subunidade menor) da RNR do M. tuberculosis (código PDB 1UZR). Os modelos CoMFA e CoMSIA gerados apresentaram valores aceitáveis para os coeficientes de correlação de predição, com altos valores para os coeficientes de correlação ajustados e baixos valores para os erros padrões. Os melhores modelos CoMFA e CoMSIA foram obtidos considerando o grupo com substituintes apenas na posição 5 do anel piridínico. Razoáveis coeficientes de correlação de predição para os modelos CoMSIA com altos coeficientes de correlação de ajuste e baixos valores para os erros padrões forma obtidos. Os mapas de contorno gerados em CoMFA e CoMSIA sugerem que grupos aceptores de ligações de hidrogênio próximos ao nitrogênio do anel piridínico deverá aumentar o valor da atividade inibitória. Esta observação está em boa concordância com os dados da literatura, na qual a formação de um complexo entre a TSC e o íon Ferro foi sugerido para a inibição da RNR. Estes estudos deverão permitir um melhor entendimento sobre as características estruturais desta classe de TSC inibidoras da RNR, como agentes antitumorais, em termos dos campos estéricos, eletrostáticos, hidrofóbico, doador e aceptor de ligações de hidrogênio, bem como a contribuição para o desenvolvimento racional de novos inibidores para esta importante enzima. Adicionalmente, dois compostos preparados em nosso laboratório, demonstraram atividade frente o M. tuberculosis, em testes realizados in vivo. / Tuberculosis is an illness caused by Mycobacterium tuberculosis. Data from World Health Organization (WHO) estimates, that about 2-3 millions of human population died by Mycobacterium tuberculosis infection and that during the next 15 years about 1 billion will be infected and 35 million will certainly die. Although, in the clinic it was found several antiTBdrugs, these numbers will increase due several reasons including M. tuberculosis resistant strains. It has been stressed the importance of novel medicines and/or alternative biological targets research projects. It is known that Ribonucleotide reductase (RNR), is an enzyme that catalyses the rate limiting step in the de novo synthesis of dNTPs, reducing the ribonucleoside 5\'-diphosphates to the corresponding deoxyribonuc1eoside 5\' -diphosphates. RNR has a critical role in the DNA synthesis and, hence, cell division. This key enzyme, that shows 16% homology when compared with mammals RNR, is a potential target for drug design of cell growth inhibitors, with potential application in cancer therapy, antimalaria and trypanosome chemotherapy. It is known that different types of compounds or species by means of different mechanism pathways can show RNR inhibition, including α-(N)-heterocyclic carboxaldehydes thiosemicarbazones that are one of the most potent classes of RNR inhibitors. More than that, some of them, that shows activity against M. tuberculosis seems to follow the same mechanism pathways proposed to the thiosemicarbazones tumor cells activity that means, that they probably are RNR inhibitors. In this study, a series of 40 α-(N)-2-formyl-pyridine thiosemicarbazone derivatives tested against RNR of H.ep.-2-cells (human epidermoid carcinoma), taken from selected literature (French & Blanz-Jr. 1974), has quantitatively analyzed by means of several QSAR/3D-QSAR approaches. These compounds were divided into 5 individual subsets, namely A, B, C, D, and E, having 40, 39, 30, 23 e 22 compounds, respectively. This procedure has been done in order to achieve more structurally homogeneous subsets. For each set, three individual training and test sets (I,II and III) have been created in order to evaluate the predictivity power of the generated QSAR/3D-QSAR models. QSAR analysis have been done using descriptors generated by DRAGON program that have been further pre-selected by PLS procedures. Considering that crystallographic data of RNR M. tuberculosis are not available in the literature, 3D-QSAR studies have been done these applying, initially, CoMFA and CoMSIA approaches, implemented in SYBYL. Homology model studies have been performed with WHATIF program CoMFA e CoMSIA approaches used optimized geometry obtained by semi-empirical AM1 methods that have been aligned by two different methods. Rigid alignment, in which the compounds were fitted atom-by-atom onto a template, based on the root mean square fit. The N(l) and C(2) atoms of the pyridine moiety and the heavy atoms of thiosemicarbazone backbone of TSC were used as template structure. (2) Field based, in which the steric and electrostatic fields, generated by the SEAL program were considered in the alignment. In both procedures the unsubstituted 2-formylpyridine thiosemicarbazone in its syn conformation, has been taken as template. Homology RNR models were done using as template crystallographic data of ammoniagenes (1KGN) and S. typhimurium (1R2F) as template, respectively, with identity larger than 65%. More recent1y new crystallographic data have been published for the beta chain (smaller subunity) of RNR do M. tuberculosis (1UZR). CoMFA and CoMSIA generated models showed acceptable predictive correlation coefficients with high fitted correlation coefficients and low standard errors. Betler CoMFA and CoMSIA models have been derived considering a homogeneous subset of TSC substituted only at 5-position in pyridine ring. Reasonable predictive correlation coefficients for CoMSIA models with high fitted correlation coefficients and very low standard errors were obtained. The derived CoMFA and CoMSIA countour maps suggested that a hydrogen bond acceptor near the nitrogen pyridine ring could enhance inhibitory activity value. This observation is in good agreement with literature, in which a complex formation between TSC and iron ion has been suggested, to RNR inhibition. These studies are expected to enhance the understanding of the structural features of this class of TSC-RNR inhibitors as antitumor agents in terms of steric, electrostatic, hydrophobic and hydrogen donor and acceptor fields as well as to contribute to rational design of inhibitors of this key enzyme. Additionally, two compounds that have been prepared by us showed activity against M. tuberculosis using in vivo test system.