Thesis (doctoral)--University of Tartu, 2006. / This dissertation is based on 4 papers. Includes bibliographical references.

Thesis (Ph. D.)--Dept. of Chemistry and School of Pharmacy. University of Missouri--Kansas City, 2004. / "A dissertation in chemistry and pharmaceutical science." Advisor: Andrew J. Holder. Typescript. Vita. Description based on contents viewed Feb. 27, 2006; title from "catalog record" of the print edition. Includes bibliographical references (leaves 206-221). Online version of the print edition.

Thesis (Ph. D.)--Dept. of Chemistry and School of Pharmacy. University of Missouri--Kansas City, 2007. / "A dissertation in chemistry and pharmaceutical science." Advisor: Andrew J. Holder. Typescript. Vita. Description based on contents viewed Apr. 15, 2008; title from "catalog record" of the print edition. Includes bibliographical references (leaves 89-93). Online version of the print edition.

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Orientador: Douglas Soares Galvão / Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Fisica Gleb Wataghin / Made available in DSpace on 2018-08-09T13:13:05Z (GMT). No. of bitstreams: 1 Costa_RaimundoNonatoPereirada_M.pdf: 1961662 bytes, checksum: c76c13d8b6707d17ff50eb0c0fe25a21 (MD5) Previous issue date: 2006 / Resumo: A descoberta de tratamentos eficazes contra o câncer é um dos maiores desafios da ciência. No Brasil o câncer se tornou a segunda maior causa de morte. As estimativas para o ano de 2005 apontam que ocorrerão 467.440 casos novos de câncer. O investimento para o desenvolvimento de uma droga moderna é de U$850milhões e o tratamento com estas variam de U$4000 a U$17000 por mês. Estudos de relação atividade-estrutura (SAR) quantitativa têm um importante papel no design de drogas. Neste trabalho foi aplicado a Metodologia de Índices Eletrônicos (MIE) para estudar a correlação da atividade antineoplásica de 36 moléculas derivadas das carboquinonas. A MIE é baseada nos conceitos de densidade local de estado, da qual se extrai o índice D, e na diferença de energia dos estados de fronteira, índice h , obtidos por cálculo de mecânica quântica ab initio ou semi-empírico. Os cálculos foram efetuados utilizando o método PM3 (Parametric Method 3) disponível no pacote computacional MOPAC. Os resultados demonstram que a MIE consegue diferenciar com uma precisão de 92% os compostos mais ativos biologicamente. A Análise de Principal Componente (PCA), utilizando-se os parâmetros da MIE, resultou em 100% de acerto na diferenciação da atividade biológica, enquanto com o método de análise hierárquica de grupo (HCA) obteve-se padrão de agrupamento com 94% de acerto. Concluímos que o uso dos índices D e h pode ser uma eficaz ferramenta para estudos de relação atividade-estrutura qualitativa das carboquinonas e para o desenvolvimento e aprimoramento de novas drogas / Abstract: The discovery of efficient treatments against cancer is one of the great challenges of science. In Brazil the cancer became the second greatest cause of death. For the year 2005 467,440 new cases of cancer are expected. The investment for the development of a modern drug is about U$ 850 millions and the treatment with those drugs varies from U$ 4,000 to U$ 17,000 per month. Structure-Activity Relationship (SAR) studies play an important role in design of drugs. In this work the Methodology of Electronic Indices was applied (MEI) to the study of anticancer activity of 36 molecules derived from carboquinones. The MEI is based on the concepts of local density of states, from which the index D is extracted, and in the difference of energy of the frontier orbitals, which defines the other MEI parameter h. The geometrical and electronic aspects for the carboquinone set were obtained using the semi-empirical PM3 (Parametric Method 3) available in computational package MOPAC. Our results show that the MEI is able to classify (with an accuracy of 92%) active and inactive compounds. More standards statistical methods such Principal Component Analysis (PCA) and Hierarchic Cluster Analysis (HCA) were also used also producing results of identifying active/inactive molecules with high accuracy (100 and 94%, respectively). We conclude that the use of the MEI indices D and h can be an efficient tool for studies of qualitative SAR studies of carboquinones, as well as, to be used for the development and improvement of new drugs / Mestrado / Estrutura, Conformação e Estereoquimica / Mestre em Física

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xvii, 271 p.; also includes graphics. Includes bibliographical references (p. 245-269). Available online via OhioLINK's ETD Center

Con el fin de relacionar la estructura y la actividad de series de compuestos, es importante usar descriptores moleculares relevantes. Los descriptores GRIND y VolSurf pertenecen a una nueva familia de descriptores llamado libre de alineamiento. Es decir, que no necesitan alinear los compuestos con el fin de comparar sus campos de interacciones molecular. En este estudio se ha aplicado esos descriptores para la selección de reactivos químicos a partir de una amplia base de datos. La selección se ha echo mediante un protocolo que permite maximizar la diversidad de la muestra y así obtener unos compuestos muy informativos. También se ha desarrollado nuevos descriptores de forma que están basado en los cambios de curvatura de la superficie molecular. Los resultados obtenidos indican que los nuevos descriptores de forma se integran muy bien en los descriptores GRIND originales y que permiten identificar los efectos de forma tanto favorable como desfavorable. Además, se ha desarrollado nuevos descriptores libre de alineamiento llamado 'anchor-GRIND' que usan un átomo de cada molécula como punto de referencia para la comparación de los campos de interacciones molecular. Los descriptores 'anchor-GRIND' permiten una descripción mas precisa y mas sencilla que los descriptores GRIND lo que los hace mas relevante para el análisis de ciertas familias de compuestos. / In order to correlate the differences of structure with the differences of activity of series of compounds, it is important to use relevant molecular descriptors. The GRIND and VolSurf descriptors belong to the so-called alignment-free descriptors family. In other words, they do not require to align the compounds in order to compare its molecular interaction fields. In this study, we applied these descriptors to the selection of chemical reagent from a database of compounds. The selection has been done following a protocol which allows to maximize the diversity of the sample and so to obtain some compounds highly informative. In addition we developed new shape descriptors which are based on the changes of curvature of the molecular surface. The results obtained show that the new shape descriptors are well integrated in the original GRIND descriptors. Furthermore, we designed new alignment-free descriptors called 'anchor-GRIND' which use one atom of each molecule as a reference point for the comparison of the molecular interaction fields. The 'anchor-GRIND' descriptors allow a more precise and more simple description than the GRIND descriptors, which makes them more relevant for the analysis of some families of compounds.