| 31. |
- Rama Krishna, G., et al.
(author)
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Prediction of Solid State Properties of Cocrystals Using Artificial Neural Network Modeling
- 2018
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In: Crystal Growth & Design. - : American Chemical Society (ACS). - 1528-7483 .- 1528-7505. ; 18:1, s. 133-144
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Journal article (peer-reviewed)abstract
- Using Artificial Neural Networks (ANNs), four distinct models have been developed for the prediction of solid-state properties of cocrystals: melting point, lattice energy, and crystal density. The models use three input parameters for the pure model compound (MC) and three for the pure coformer. In addition, as an input parameter the model uses the pKa difference between the MC and the coformer, and a 1:1 MC−conformer binding energy as calculated by a force field method. Notably, the models require no data for the actual cocrystals. In total, 61 CCs (two-component molecular cocrystals) were used to construct the models, and melting temperatures and crystal densities were extracted from the literature for four MCs: caffeine, theophylline, nicotinamide, and isonicotinamide. The data set includes 14 caffeine cocrystals, 9 theophylline cocrystals, 9 nicotinamide cocrystals, and 29 isonicotinamide cocrystals. Model-I is trained using known cocrystal melting temperatures, lattice energies, and crystal densities, to predict all three solid-state properties simultaneously. The average relative deviation for the training set is 2.49%, 6.21%, and 1.88% for the melting temperature, lattice energy, and crystal density, respectively, and correspondingly 6.26%, 4.58%, and 0.99% for the valdation set. Model-II, model-III, and model-IV were built using the same input neurons as in model-I, for separate prediction of each respective output solid−state property. For these models the average relative deviation for the training sets becomes 1.93% for the melting temperature model-II, 1.29% for the lattice energy model-III, and 1.03% for the crystal density model-IV, and correspondingly 2.23%, 2.40%, and 1.77% for the respective validation sets.
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| 32. |
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| 33. |
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| 34. |
- Rasmuson, Johan
(author)
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Cardiopulmonary involvement in Puumala hantavirus infection
- 2015
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Doctoral thesis (other academic/artistic)abstract
- Puumala hantavirus (PUUV) causes hemorrhagic fever with renal syndrome in Europe. After inhalation of virus shed by bank voles, the virus systemically targets the vascular endothelium leading to vascular dysfunction and leakage. Many patients with PUUV infection experience cardiopulmonary manifestations but the underlying mechanisms have not been determined.The aims of the studies presented were to describe cardiopulmonary manifestations, investigate pathogenetic mechanisms including presence of virus in the lungs and the local immune response in PUUV infection.The results showed cardiopulmonary involvement of varying severity in almost all studied patients. High-resolution computed tomography frequently revealed vascular leakage into the lungs or pleural cavities. Pulmonary function tests generally showed reduced gas diffusing capacity, evidenced in patients as dyspnea, poor oxygenation and frequent need of oxygen treatment. Among patients who were not fully recovered at 3 months follow-up, remaining decreased gas diffusing capacity was highly common.Echocardiography revealed mainly right heart dysfunction which was related to manifestations within the lungs, in terms of increased estimated pulmonary vascular resistance, mild to moderate pulmonary hypertension, and reduced right ventricular systolic function in patients with more pronounced lung involvement, as indicated by need of oxygen treatment.Analyses on bronchoalveolar lavage (BAL) and bronchial biopsies revealed a highly activated cytotoxic T cell (CTL) response in the lungs. The CTL response was not balanced by the expansion of regulatory T cells and high numbers of CTLs were associated with more severe disease. PUUV RNA was detected in almost all patients’ BAL samples and the viral load was inversely correlated to the number of CTLs.Three patients presenting with severe and fatal cardiopulmonary distress were also described. Autopsies revealed PUUV protein in vascular endothelium in all investigated organs, including the heart and lungs, along with a massive CTL response mainly in the lungs.In conclusion, cardiopulmonary involvement of varying severity was present in almost all patients with PUUV infection. Cytotoxic immune responses could contribute to disease development but also help in clearing the infection. Long lasting fatigue after hantavirus infection may be explained by remaining manifestations within the lungs.
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| 35. |
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| 36. |
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| 37. |
- Ryder, Edward, et al.
(author)
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The DrosDel collection : a set of P-element insertions for generating custom chromosomal aberrations in Drosophila melanogaster.
- 2004
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In: Genetics. - 0016-6731. ; 167:2, s. 797-813
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Journal article (peer-reviewed)abstract
- We describe a collection of P-element insertions that have considerable utility for generating custom chromosomal aberrations in Drosophila melanogaster. We have mobilized a pair of engineered P elements, p[RS3] and p[RS5], to collect 3243 lines unambiguously mapped to the Drosophila genome sequence. The collection contains, on average, an element every 35 kb. We demonstrate the utility of the collection for generating custom chromosomal deletions that have their end points mapped, with base-pair resolution, to the genome sequence. The collection was generated in an isogenic strain, thus affording a uniform background for screens where sensitivity to genetic background is high. The entire collection, along with a computational and genetic toolbox for designing and generating custom deletions, is publicly available. Using the collection it is theoretically possible to generate >12,000 deletions between 1 bp and 1 Mb in size by simple eye color selection. In addition, a further 37,000 deletions, selectable by molecular screening, may be generated. We are now using the collection to generate a second-generation deficiency kit that is precisely mapped to the genome sequence.
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| 38. |
- Ståhl, Marie
(author)
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Process modeling of semibatch reaction crystallization
- 2005
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Doctoral thesis (other academic/artistic)abstract
- This thesis aims at increasing the fundamental understanding of reaction crystallization by modeling, simulations and parameter estimation. Benzoic acid is used as the model compound. A population balance model of single-feed semi-batch reaction crystallization is developed, accounting for chemical reaction, mixing, nucleation, growth, and growth rate dispersion. The model is evaluated by comparing the results with data from previously published semi-batch experiments. Two different mechanistic mixing models are used to describe mixing: the engulfment model with mesomixing and the segregated feed model. When the engulfment mixing model is used, the semi-batch model correctly captures the variation in weight mean size with varying agitation rate, feed point location, reactant concentration, feed pipe diameter, and total feed time. However, at scaling-up, a decrease in weight mean size with increasing crystallizer volume is predicted, which is not found experimentally. When the segregated feed model is used to describe mixing, the results are unsatisfactory. The crystallization kinetics have a great impact on the performance of the model, influencing both the final mean size, and the predicted influence of changes in the processing conditions. The kinetics of nucleation and growth are determined from T-mixer experiments. Three population balance models of increasing complexity are developed and used in parameter estimations by non-linear optimization. The T-mixer model accounts for nucleation, growth and growth rate dispersion. Five or six kinetic parameters are estimated using data from 14 experiments at 8 different initial supersaturation levels. Depending on the assumptions in the model, different kinetics are estimated. The main differences are found in the nucleation and growth rate constants. The T-mixer kinetics yields unsatisfactory results in the semi-batch simulations, with a predicted mean size that is significantly smaller than the experimental and a less pronounced influence of processing conditions that are related to mesomixing. An attempt is made to model aging of benzoic acid precipitates formed at high supersaturation. A model of Ostwald ripening gives a reasonably good description of the changes in the size distribution, provided that the observed shape change during aging is accounted for. However, significant deviations remain, in particular, the broadening of the aged size distribution is more pronounced in the experiments than in the simulations. There are indications that the observed aging might be caused by kinetic ripening, driven by a transformation to a more regular shape or a less strained crystal, rather than by Ostwald ripening.
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| 39. |
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| 40. |
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