Chemical approaches to ubiquitous computing

Dissertação apresentada para obtenção do Grau de Doutor em Química, perfil de Química Física, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

Automatic learning for the classification of chemical reactions and in statistical thermodynamics

This Thesis describes the application of automatic learning methods for a) the classification of organic and metabolic reactions, and b) the mapping of Potential Energy Surfaces(PES). The classification of reactions was approached with two distinct methodologies: a representation of chemical reactions based on NMR data, and a representation of chemical reactions from the reaction equation based on the physico-chemical and topological features of chemical bonds. NMR-based classification of photochemical and enzymatic reactions. Photochemical and metabolic reactions were classified by Kohonen Self-Organizing Maps (Kohonen SOMs) and Random Forests (RFs) taking as input the difference between the 1H NMR spectra of the products and the reactants. The development of such a representation can be applied in automatic analysis of changes in the 1H NMR spectrum of a mixture and their interpretation in terms of the chemical reactions taking place. Examples of possible applications are the monitoring of reaction processes, evaluation of the stability of chemicals, or even the interpretation of metabonomic data. A Kohonen SOM trained with a data set of metabolic reactions catalysed by transferases was able to correctly classify 75% of an independent test set in terms of the EC number subclass. Random Forests improved the correct predictions to 79%. With photochemical reactions classified into 7 groups, an independent test set was classified with 86-93% accuracy. The data set of photochemical reactions was also used to simulate mixtures with two reactions occurring simultaneously. Kohonen SOMs and Feed-Forward Neural Networks (FFNNs) were trained to classify the reactions occurring in a mixture based on the 1H NMR spectra of the products and reactants. Kohonen SOMs allowed the correct assignment of 53-63% of the mixtures (in a test set). Counter-Propagation Neural Networks (CPNNs) gave origin to similar results. The use of supervised learning techniques allowed an improvement in the results. They were improved to 77% of correct assignments when an ensemble of ten FFNNs were used and to 80% when Random Forests were used. This study was performed with NMR data simulated from the molecular structure by the SPINUS program. In the design of one test set, simulated data was combined with experimental data. The results support the proposal of linking databases of chemical reactions to experimental or simulated NMR data for automatic classification of reactions and mixtures of reactions. Genome-scale classification of enzymatic reactions from their reaction equation. The MOLMAP descriptor relies on a Kohonen SOM that defines types of bonds on the basis of their physico-chemical and topological properties. The MOLMAP descriptor of a molecule represents the types of bonds available in that molecule. The MOLMAP descriptor of a reaction is defined as the difference between the MOLMAPs of the products and the reactants, and numerically encodes the pattern of bonds that are broken, changed, and made during a chemical reaction. The automatic perception of chemical similarities between metabolic reactions is required for a variety of applications ranging from the computer validation of classification systems, genome-scale reconstruction (or comparison) of metabolic pathways, to the classification of enzymatic mechanisms. Catalytic functions of proteins are generally described by the EC numbers that are simultaneously employed as identifiers of reactions, enzymes, and enzyme genes, thus linking metabolic and genomic information. Different methods should be available to automatically compare metabolic reactions and for the automatic assignment of EC numbers to reactions still not officially classified. In this study, the genome-scale data set of enzymatic reactions available in the KEGG database was encoded by the MOLMAP descriptors, and was submitted to Kohonen SOMs to compare the resulting map with the official EC number classification, to explore the possibility of predicting EC numbers from the reaction equation, and to assess the internal consistency of the EC classification at the class level. A general agreement with the EC classification was observed, i.e. a relationship between the similarity of MOLMAPs and the similarity of EC numbers. At the same time, MOLMAPs were able to discriminate between EC sub-subclasses. EC numbers could be assigned at the class, subclass, and sub-subclass levels with accuracies up to 92%, 80%, and 70% for independent test sets. The correspondence between chemical similarity of metabolic reactions and their MOLMAP descriptors was applied to the identification of a number of reactions mapped into the same neuron but belonging to different EC classes, which demonstrated the ability of the MOLMAP/SOM approach to verify the internal consistency of classifications in databases of metabolic reactions. RFs were also used to assign the four levels of the EC hierarchy from the reaction equation. EC numbers were correctly assigned in 95%, 90%, 85% and 86% of the cases (for independent test sets) at the class, subclass, sub-subclass and full EC number level,respectively. Experiments for the classification of reactions from the main reactants and products were performed with RFs - EC numbers were assigned at the class, subclass and sub-subclass level with accuracies of 78%, 74% and 63%, respectively. In the course of the experiments with metabolic reactions we suggested that the MOLMAP / SOM concept could be extended to the representation of other levels of metabolic information such as metabolic pathways. Following the MOLMAP idea, the pattern of neurons activated by the reactions of a metabolic pathway is a representation of the reactions involved in that pathway - a descriptor of the metabolic pathway. This reasoning enabled the comparison of different pathways, the automatic classification of pathways, and a classification of organisms based on their biochemical machinery. The three levels of classification (from bonds to metabolic pathways) allowed to map and perceive chemical similarities between metabolic pathways even for pathways of different types of metabolism and pathways that do not share similarities in terms of EC numbers. Mapping of PES by neural networks (NNs). In a first series of experiments, ensembles of Feed-Forward NNs (EnsFFNNs) and Associative Neural Networks (ASNNs) were trained to reproduce PES represented by the Lennard-Jones (LJ) analytical potential function. The accuracy of the method was assessed by comparing the results of molecular dynamics simulations (thermal, structural, and dynamic properties) obtained from the NNs-PES and from the LJ function. The results indicated that for LJ-type potentials, NNs can be trained to generate accurate PES to be used in molecular simulations. EnsFFNNs and ASNNs gave better results than single FFNNs. A remarkable ability of the NNs models to interpolate between distant curves and accurately reproduce potentials to be used in molecular simulations is shown. The purpose of the first study was to systematically analyse the accuracy of different NNs. Our main motivation, however, is reflected in the next study: the mapping of multidimensional PES by NNs to simulate, by Molecular Dynamics or Monte Carlo, the adsorption and self-assembly of solvated organic molecules on noble-metal electrodes. Indeed, for such complex and heterogeneous systems the development of suitable analytical functions that fit quantum mechanical interaction energies is a non-trivial or even impossible task. The data consisted of energy values, from Density Functional Theory (DFT) calculations, at different distances, for several molecular orientations and three electrode adsorption sites. The results indicate that NNs require a data set large enough to cover well the diversity of possible interaction sites, distances, and orientations. NNs trained with such data sets can perform equally well or even better than analytical functions. Therefore, they can be used in molecular simulations, particularly for the ethanol/Au (111) interface which is the case studied in the present Thesis. Once properly trained, the networks are able to produce, as output, any required number of energy points for accurate interpolations.

The isolation and characterization of cytochrome c nitrite reductase subunits (NrfA and NrfH) from Desulfovibrio desulfuricans ATCC 27774

Eur. J. Biochem. 270, 3904–3915 (2003)

Stratigraphic interpretation of Well-Log data of the Athabasca Oil Sands of Alberta Canada through Pattern recognition and Artificial Intelligence

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

An NMR structural study of nickel-substituted rubredoxin

J Biol Inorg Chem (2010) 15:409–420 DOI 10.1007/s00775-009-0613-6

The isolation and characterization of cytochrome c nitrite reductase subunits (NrfA and NrfH) from Desulfovibrio desulfuricans ATCC 27774

Eur. J. Biochem. 270, 3904–3915 (2003) doi:10.1046/j.1432-1033.2003.03772.x

Contributo para o desenvolvimento de uma metodologia que avalia a posição da omoplata: fidedignidade intra e interobservador e validade concorrente

RESUMO: Introdução: A relação cinemática entre as articulações do CAO apresenta grande importância na função do MS, e é por isso cada vez mais investigada e descrita. O posicionamento da omoplata ganha um importante papel para compreender as DCAO. É indiscutível o importante papel da omoplata na dinâmica do MS, bem como o posicionamento escapular como parâmetro clínico de disfunção do CAO. Todos estes factores criam a necessidade de desenvolver instrumentos de avaliação da posição da articulação ET. A grande maioria dos testes de avaliação, restringem a sua avaliação às disfunções da articulação GU, não integrando uma avaliação mais dinâmica e interactiva que respeite os pressupostos teóricos inerentes ao REU. È importante também que os métodos de avaliação sejam de fácil aplicabilidade clínica e que avaliem fidedignamente e com validade os outcomes. Objectivos: Contribuir para o desenvolvimento de uma metodologia de avaliação da omoplata em diferentes amplitudes do MS, através do estudo da validade concorrente, da fidedignidade intra e inter-observador. Metodologia: A amostra foi constituída por 20 elementos seleccionados por conveniência, entre o corpo de discentes da ESS-IPS, sem história de disfunção do CAO. Foi realizada uma análise cinemática ao MS de cada sujeito, usando um aparelho de análise por varrimento electromagnético, o FOB. Em cada sujeito foram ainda medidas, as distâncias escapulares em estudo, usando a fita métrica. Cada método de medição foi constituído por dois momento (teste e reteste), em cada momento, as medidas eram recolhidas por dois investigadores distintos. Resultados e Discussão: Foram considerados como positivos os resultados que se apresentassem acima do limiar de 0,5, que classifica uma correlação como moderada a excelente. Os resultados da validade mostram que para o investigador 1 nas medidas M1e M2 apenas houve correlação com valores excelentes a moderados até aos 30º de elevação do MS. Já para M3 apenas aos 30º no plano da omoplata essa mesma correlação não tem valores próximos do cutpoint. Em M4 nenhum valor tem correlação significativa com os valores do FOB, chegando mesmo a haver correlação negativa para os 120º no plano da omoplata. Em M5 apenas os 0º mostram valores correlacionais excelentes a moderados. Para o investigador 2, em M1 e M2 á semelhança do investigador 1, só existem valores de correlação significativos até aos 30º de elevação do MS. Já para M3 todos os valores mostram excelente a moderada correlação á excepção dos 120º no plano frontal. Em M4 este investigador apresenta maus resultados. Já em M5 os valores de correlação são moderados aos 0º e aos 90º. No que diz respeitos aos resultados dos CCI intra-observador,podemos afirmar que foi em M5 que estes valores mais se aproximaram do cut point. M1 e M2 são as medidas onde se encontram resultados menos satisfatórios. É aos 60º que existem valores mais satisfatórios, seguidos pelos 0º e 30º, quando nos aproximamos de graus mais elevados, como 90º e 120º, estes valores tendem a baixar. Quanto á fidedignidade inter-observador para M1 apenas aos 90º e aos 120º houve valores de correlação abaixo do cutpoint. Em M2, só os 60º do plano sagital não teve valores acima do cutpoint, em M3 apenas os 30º plano sagital não obtiveram valores acima do cut-point, o mesmo acontece para M3 aos 30º plano da omoplata e em M5 aos 30º e 120º no plano frontal. Conclusão: Os resultados deste estudo indicam que a metodologia em causa apresenta elevado grau de fidedignidade inter-observador, já no que toca é fidedignidade intra-observador o grau de semelhança não é tão elevado. Também o erro associado á medida não ultrapassou 1,5cm, sendo considerado baixo. Na validade concorrente concluímos que é aos 0º que a metodologia se torna uma opção válida na aferição das distâncias medidas com uma boa a excelente concordância com o FOB. As medidas consideradas como opções válidas, nas diferentes amplitudes, podem funcionar como parâmetros clínicos de caracterização do posicionamento da omoplata, podendo vir a contribuir ainda para a caracterização da orientação da mesma.-------------------- ABSTRACT:Introduction: The kinematic relationship between the joints of the CAO has great importance in the function of MS, which is why more and more investigated and described. The positioning of the blade gets an important role in understanding the DCAO. There is no doubt the important role of the scapula in the dynamics of MS as well as the positioning of scapular dysfunction as a clinical parameter of the CAO. All these factors create the need to develop tools for evaluating the place of articulation ET. Most assessment tests, restrict its assessment to GU joint disorders, not incorporating a more dynamic and interactive way that respects the theoretical assumptions inherent in the REU. It is also important that the methods are easy to apply clinical and reliably to assess the validity and outcomes. Objectives: To contribute to the development of a methodology for evaluating the scapula in different ranges of MS, through the study of concurrent validity, reliability of intra-and inter-observer. Methodology: The sample consisted of 20 selected elements for convenience, between the body of students of IPS-ESS with no history of dysfunction of the CAO. We performed a kinematic analysis of each subject to MS, using a scanning device for electromagnetic analysis, the FOB. In each subject were also measured, the scapular distances under study, using tape measure. Each method of measuring the time consisted of two (test and retest), in each moment, the measures were collected by two different investigators. Results and Discussion: We considered as positive results that were above the threshold of 0.5, which ranks as a moderate to excellent correlation. The results show that the validity for the researcher in an action M1e M2 was only correlated with moderate to excellent values up to 30º of elevation of the MS. As for M3 only to 30º in the plane of the scapula has the same correlation values near the cutpoint. M4 has no value in correlation with the values of the FOB, and even negative correlation to 120 ° in the plane of the scapula. In M5 show only the values 0 ° correlational excellent to moderate. For investigator 2 in M1 and M2 will be like an investigator, there are only significant correlation values up to 30º of elevation of the MS. As for M3 all the values show excellent correlation to moderate with the exception of 120 ° in the frontal plane. In this researcher M4 has bad results. M5 already in the correlation values are moderate to 0º and 90 º. Regarding the results of ICC intra-observer, we can say that M5 was that these values come closest to the cut point. M1 and M2 are measures which are less than satisfactory results. At 60 ° there are more satisfactory values, followed by 0º and 30º, when we approached the highest levels, such as 90 ° and 120 °, these values tend to decrease. The inter-observer reliability for M1 only to 90 º and 120 ºcorrelation values were below the cutpoint. In M2, only 60 of the sagital plane did not have values above the cutpoint in M3 only 30º sagital plane did not obtain values above the cut-point, the same goes for M3 at 30 ° plane of the scapula and M5 at 30 º and 120 º in frontal plane. Conclusion: The results of this study indicate that the methodology in question has a high degree of inter-observer reliability, as far as intra-observer reliability is the degree of similarity is not as high. Also the error of measure did not exceed 1.5 cm, and is considered low. In concurrent validity conclude that it is at 0 ° the methodology becomes a valid option for the measurement of distances measured with a good to excellent agreement with the FOB. The measures considered as valid options in different amplitudes, can function as clinical parameters to characterize the positioning of the shoulder blade and could further contribute to the characterization of the orientation of the same.

Influence of abiotic stress factors on VOCs emission from Portuguese rice paddy fields: relation with increased climate change

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente Perfil de Gestão de Sistemas Ambientais

Study on the valorization routes of ashes from thermoelectric power plants working under mono-and co-combustion regimes

Thesis submitted to obtain the Doctoral degree in Energy and Bioenergy

Synthesis of precursors of the rare 3-O-methylmannose polysaccharides present in Nontuberculous Mycobacteria

3-O-methylmannose polysaccharides (MMPs) are cytoplasmic carbohydrates synthesized by mycobacteria, which play important intracellular roles, such as for example in metabolism regulation. An important way to confirm if the inhibition of the synthesis of these polysaccharides will critically affect the survival of mycobacteria is the study of the biosynthetic pathways from these molecules on these microorganisms. The purpose of this work is the efficient synthesis of three saccharides, which are rare cellular precursors from the biosynthesis of the mycobacterial polysaccharides, allowing its study. In order to obtain these molecules, a chemical strategy to connect two precursors was used. This process is called chemical glycosylation and its importance will be highlighted as an important alternative to enzymatic glycosylation. The first objective was the synthesis of the disaccharides Methyl (3-O-methyl-α-D-mannopyranosyl)-(1→4)-3-O-methyl-α-D-mannopyranoside and (3-O-Methyl-α-D-mannopyra- nosyl)-(1→4)-3-O-methyl-(α/β)-D-mannopyranose. The mannose precursors were prepared before the glycosylation reaction. The same mannosyl donor was used in the preparation of both molecules and its efficient synthesis was achieved using a 8 step synthetic route from D-mannose. A different mannosyl acceptor was used in the synthesis of each disaccharide and their syntheses were also efficient, the first one a 4 step synthetic route from α-methyl-D-mannose and the second one as an intermediate from the synthesis of the mannosyl donor. The stereoselective preparation of these disaccharides was performed successfully. The second and last objective of the proposed work was the synthesis of the tetrasaccharide methyl (3-O-methyl-α-D-mannopyranosyl-(1→4)-3-O-methyl-α-D-mannopyra- nosyl-(1→4)-3-O-methyl-α-D-mannopyranosyl-(1→4)-3-O-methyl-α-D-mannopyranoside. The disaccharide acceptor and donor to be linked through a stereoselective glycosidic reaction had to be first synthesized. Several synthetic strategies were studied. Neither the precursors nor the tetrasaccharide were synthesized, but a final promising synthetic route for its preparation has been proposed.