Разработка информационной системы для анализа и моделирования социального и экономического развития региона

Работа посвящена построению информационной системы для моделирования социально-экономического развития региона. Исследование соответствует одному из Направлений перечисленных в Стратегии научно-технологического развития Российской Федерации, и обращается к междисциплинарному подходу, основанному на активном применении информационных и сетевых технологий, методик вычислительного эксперимента. В работе описаны: - Процесс поиска и отбора источников статистических данных; - Построение ETL-процесса по непрерывной автоматизированной доставке данных в основное хранилище данных; - Построение модели предметной области с использованием облачных решений и нейросетевых технологий. - Автоматизация подбора и оптимизации параметров нейронной сети.The paper is devoted to the information system design for modeling the regional socio-economic development. The study corresponds to one of the areas listed in the Strategy for Scientific and Technological Development of the Russian Federation, and turns to an interdisciplinary approach based on the active use of information and network technologies, methods of computational experiment. The paper describes: - The process of searching and selecting sources of statistical data; - Building an ETL process for continuous automated data delivery to the main data warehouse; - Building a domain model using cloud solutions and neural network technologies. - ANN parameters auto-optimisation

optimization of enzymatic synthesis of l arabinose ferulate catalyzed by feruloyl esterases from myceliophthora thermophila in detergentless microemulsions and assessment of its antioxidant and cytotoxicity activities

The feruloyl esterases FaeA1, FaeA2, FaeB1, FaeB2 from Myceliophthora thermophila C1 and MtFae1a from M. thermophila ATCC 42464 were used as biocatalysts for the transesterification of vinyl ferula ..

Fungal glucuronoyl esterases : Genome mining based enzyme discovery and biochemical characterization

4-O-Methyl-d-glucuronic acid (MeGlcA) is a side-residue of glucuronoarabinoxylan and can form ester linkages to lignin, contributing significantly to the strength and rigidity of the plant cell wall. Glucuronoyl esterases (4-O-methyl-glucuronoyl methylesterases, GEs) can cleave this ester bond, and therefore may play a significant role as auxiliary enzymes in biomass saccharification for the production of biofuels and biochemicals. GEs belong to a relatively new family of carbohydrate esterases (CE15) in the CAZy database (www.cazy.org), and so far around ten fungal GEs have been characterized. To explore additional GE enzymes, we used a genome mining strategy. BLAST analysis with characterized GEs against approximately 250 publicly accessible fungal genomes identified more than 150 putative fungal GEs, which were classified into eight phylogenetic sub-groups. To validate the genome mining strategy, 21 selected GEs from both ascomycete and basidiomycete fungi were heterologously produced in Pichia pastoris. Of these enzymes, 18 were active against benzyl d-glucuronate demonstrating the suitability of our genome mining strategy for enzyme discovery.4-O-Methyl-D-glucuronic acid (MeGlcA) is a side-residue of glucuronoarabinoxylan and can form ester linkages to lignin, contributing significantly to the strength and rigidity of the plant cell wall. Glucuronoyl esterases (4-O-methyl-glucuronoyl methylesterases, GEs) can cleave this ester bond, and therefore may play a significant role as auxiliary enzymes in biomass saccharification for the production of biofuels and biochemicals. GEs belong to a relatively new family of carbohydrate esterases (CE15) in the CAZy database (www.cazy.org), and so far around ten fungal GEs have been characterized. To explore additional GE enzymes, we used a genome mining strategy. BLAST analysis with characterized GEs against approximately 250 publicly accessible fungal genomes identified more than 150 putative fungal GEs, which were classified into eight phylogenetic sub-groups. To validate the genome mining strategy, 21 selected GEs from both ascomycete and basidiomycete fungi were heterologously produced in Pichia pastoris. Of these enzymes, 18 were active against benzyl D-glucuronate demonstrating the suitability of our genome mining strategy for enzyme discovery.Peer reviewe

Fungal feruloyl esterases: Functional validation of genome mining based enzyme discovery including uncharacterized subfamilies

Feruloyl esterases (FAEs) are a diverse group of enzymes that specifically catalyze the hydrolysis of ester bonds between a hydroxycinnamic (e.g. ferulic) acid and plant poly- or oligosaccharides. FAEs as auxiliary enzymes significantly assist xylanolytic and pectinolytic enzymes in gaining access to their site of action during biomass saccharification for biofuel and biochemical production. A limited number of FAEs have been functionally characterized compared to over 1000 putative fungal FAEs that were recently predicted by similarity-based genome mining, which divided phylogenetically into different subfamilies (SFs). In this study, 27 putative and six characterized FAEs from both ascomycete and basidiomycete fungi were selected and heterologously expressed in Pichia pastoris and the recombinant proteins biochemically characterized to validate the previous genome mining and phylogenetical grouping and to expand the information on activity of fungal FAEs. As a result, 20 enzymes were shown to possess FAE activity, being active towards pNP-ferulate and/or methyl hydroxycinnamate substrates, and covering 11 subfamilies. Most of the new FAEs showed activities comparable to those of previously characterized fungal FAEs.Peer reviewe