{"title":"Brain Machine Interface","authors":"Rinat Galiautdinov","doi":"10.4018/ijarb.2020010102","DOIUrl":"https://doi.org/10.4018/ijarb.2020010102","url":null,"abstract":"The main purpose of the article is to provide the solution which allows the muscles to work in a situation when neural connection is corrupted either due to illness or injury, which usually causes paralysis. The research is on the interpretation of the brain signals based on the analysis of neurotransmitters and the transformation of this analysis into the electric signals effecting on the muscle in the situation when neural circuit between a sensor/inter neuron and a motor neuron is broken. This method would allow paralyzed people to move their limbs and potentially to walk.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129225437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Model for Diagnosis of Postoperative Complications in Medicine Using Bioinformatics","authors":"V. Gorbachenko","doi":"10.4018/ijarb.2019070101","DOIUrl":"https://doi.org/10.4018/ijarb.2019070101","url":null,"abstract":"Digital models are needed in medicine using bioinformatics for diagnosis and prediction. Such models are especially needed in personalized medicine using bioinformatics. In this area, it is necessary to evaluate and predict the patient's condition from a priori knowledge obtained from other patients. Therefore, a new direction appeared - predictive medicine using bioinformatics. Predictive medicine, or “in silico medicine” is the use of computer modelling and intelligent technologies in the diagnosis, treatment and prevention of diseases. Using predictive medicine, the doctor can determine the likelihood of the development of certain diseases and choose the optimal treatment using bioinformatics. Predictive medicine begins to be applied in surgery. The prognosis in surgery consists in the preoperative evaluation of various surgical interventions and in the evaluation of possible outcomes of surgical interventions.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"About Neural Networking of Avatar-Based Modeling as an Intellectual Tool and Technology for Biomedical Study in Bioinformatics","authors":"V. Chernyshenko","doi":"10.4018/ijarb.2019070106","DOIUrl":"https://doi.org/10.4018/ijarb.2019070106","url":null,"abstract":"The article is devoted to the problem of an analytical analysis of neural networks with avatar-based modelling as an intellectual tool and technology for biomedical study in bioinformatics. This is with th use of convolutional and generative neural networks, as well as reinforcement training. An algorithm for predicting future moments of trend change under concrete market conditions based on a generative adversarial networks was developed. Special software was designed that realizes algorithms for predicting the future of study conditions changes, based on the mentioned above algorithms.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115140187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Using Decision-Making Block of Computer-Based Intelligent Biomedical Avatar for Applied Research in Bioinformatics","authors":"L. Gamidullaeva, V. Chernyshenko","doi":"10.4018/ijarb.2019070102","DOIUrl":"https://doi.org/10.4018/ijarb.2019070102","url":null,"abstract":"A biomedical task in which the definitions and properties of applied research indicators under study in bioinformatics is formalized. A wide range of traditional approaches used for predicting medical time series were reviewed. Advanced algorithms for predicting moments of reversals of biomedical trends based on machine learning tools were investigated as well. The effectiveness of different kinds of approaches was discussed, and related examples are given. An original securities price dynamics trend classification algorithm, based on the use of the sliding window methodology and biomedical avatar, is described. A general scheme of the classification algorithm to identify biomedical market phases is analyzed and results of computer modelling are presented. Selection of initial and resulting metrics is grounded.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"State Strategy of Russian Universities and Technological Business Companies for the Transfer of Bioinformatics Knowledge","authors":"P. Irina","doi":"10.4018/ijarb.2019070105","DOIUrl":"https://doi.org/10.4018/ijarb.2019070105","url":null,"abstract":"This article presents examples of optimization of IT-infrastructure. Issues of information security at the time of digital economy are discussed. The article lists modern trends of optimization at IT-infrastructure use of bioinformatics knowledge. Examples of cloud services and the use of hybrid clouds are given. The information system of the future is defined. There is an integration of the existing system into a single digital platform and a description is given of ensuring the work of the social bloc of the country. The author defines the software visualizer, which opens unlimited possibilities for manipulating disk resources.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cash Note With High Performance Security","authors":"Lingamallu Naga Srinivasu, K. S. Rao","doi":"10.4018/IJARB.2019010102","DOIUrl":"https://doi.org/10.4018/IJARB.2019010102","url":null,"abstract":"Rapid creation of fake notes affects the financial status, the value of the currency, unemployment rate, etc. In this paper, a cash note is generated with high level security features – it has specific serial number which will be encoded in that cash note with a procedure. Even if a person encodes the serial number in a fake cash note, the decoder will identify it as a fake one. If serial number and cash denomination at the decoding match with those of encoded cash note, then that note can be treated as genuine one. Otherwise it can be considered as a fake one. First, each digit of the serial number on the cash note is converted into binary number with a procedure and can be located beside the count indicator. Every cash note has some denomination and its decimal value is converted into binary number which can be kept beside the mode indicator. The count indicator and mode indicator are generated in the course of operation. The obtained encoded binary number is divided into codewords of 8 bits each. Each bit of code word is arranged at random locations in the cash note.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"464 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116178356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiparticle Models of Brownian Dynamics for the Description of Photosynthetic Electron Transfer Involving Protein Mobile Carriers","authors":"Galina Riznichenko, I. Kovalenko","doi":"10.4018/IJARB.2019010101","DOIUrl":"https://doi.org/10.4018/IJARB.2019010101","url":null,"abstract":"The article presents a review of modeling the interaction of photosynthetic proteins using the multiparticle Brownian dynamics method developed at the Department of Biophysics, Biological Faculty, Lomonosov Moscow State University. The authors used multiparticle Brownian methods coupled to molecular dynamic simulations to reveal the role of electrostatic interactions and conformational changes in the transfer of an electron from the cytochrome complex to the molecule of the mobile carrier plastocyanin in plants, green algae, and cianobacteria. Taking into account the interior of photosynthetic membrane, they developed the model, combining events of protein diffusion along the thylakoid membrane, electrostatic interactions between proteins and the proteins with the membrane charges, formation of a multiprotein complex, electron transfer within a complex, and complex dissociation. They have also developed multiparticle models of competitive interactions between electron acceptors ferredoxin.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"11 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126025809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Value of Health and Healthy Lifestyle Among Russian Adolescents as a Bioinformatics Object","authors":"L. Rozhkova, S. Vlazneva, O. Salnikova","doi":"10.4018/IJARB.2019010106","DOIUrl":"https://doi.org/10.4018/IJARB.2019010106","url":null,"abstract":"Health is a qualitative prerequisite for the future self-fulfillment of young people, the ability to create a family and bear children, receive education and perform work, social, political, and creative activity. The attitude of young people to health is a system of personal, selective relations of individuals with various phenomena and social environment that contribute, or vice versa, threaten the health of the younger generation. It is also a certain self-assessment of the individual's physical and psychological condition. Bioinformatics technologies are implemented using methods that allow for collection, processing, and interpretation of data on biological objects. Considering a human and its subsystem, health as bioinformatics object, analysis of biological, social, intellectual, and mental states using materials and information technologies seems appropriate. Specialized software “Sociology,” which allows working with research materials of various health indicators, was used for data processing. The article presents the values of health in the views of modern adolescents.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126882063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Looking Into the Binary Interactome of Enterobacteriaceae Family of Bacteria","authors":"Saritha Namboodiri, A. Giuliani","doi":"10.4018/IJARB.2019010104","DOIUrl":"https://doi.org/10.4018/IJARB.2019010104","url":null,"abstract":"Protein-protein interactions (PPIs) regulate most of the biological activities within a cell. A set of pairwise PPIs in seven genera of bacterial pathogens (Salmonella, Escherichia, Shigella, Yersinia, Klebsiella, Photorhabdus, and Pantoea) of Enterobacteriaceae family was analysed. At genotypic level, the correlation coefficient analysis of the mutation spectra of the ten sets of directly interacting protein partners in Escherichia coli recognised all the ‘interacting partners' in Escherichia coli. Extending the correlation analysis to include strains from the rest of the bacterial genera decreased the recognition efficiency providing quantitative evidence that binary interactome have incomplete superposition across species. At phenotype level, a reliable classification of bacterial pathogens was obtained by measuring PPI variations in terms of between phylogenetic distance correlation distances among ten sets of proteins partners. This forces us to rethink upon the possibility of PPI rewiring with a consequent change in physiological role of the same protein.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127447312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Continuous Description of Discrete Biological Data","authors":"S. Chernyshenko","doi":"10.4018/IJARB.2019010103","DOIUrl":"https://doi.org/10.4018/IJARB.2019010103","url":null,"abstract":"The applicability of differential equations to description of integer values dynamics in bio-informatics is investigated. It is shown that a differential model may be interpreted as a continuous analogue of a stochastic flow. The method of construction of a quasi-Poisson flow on the base of multi-dimension differential equations is proposed. Mathematical correctness of the algorithm is proven. The system has been studied by a computer simulation and a discrete nature of processes has been taken into account. The proposed schema has been applied to the classical Volterra's models, which are widely used for description of biological systems. It has been demonstrated that although behaviour of discrete and continuous models is similar, some essential qualitative and quantitative differences in their dynamics take place.","PeriodicalId":350020,"journal":{"name":"International Journal of Applied Research in Bioinformatics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114812329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}