Biochemistry of Microorganisms and Computer Technology in Industrial Biotechnology

Major: Biotechnology and Bioengineering
Code of subject: 6.162.02.E.068
Credits: 7.00
Department: Technology of Biologically Active Substances, Pharmacy and Biotechnology
Lecturer: Ph.D., Associate professor Khomyak S.V.
Semester: 6 семестр
Mode of study: денна
Learning outcomes: know: - how computer technologies are used for storage, cultivation, identification of microorganisms, for conducting a variety of biochemical, microscopic studies, pharmacogenomics, in the search for new drugs; - have in-depth knowledge of the equipment used in the biotechnological analytical laboratory; be able: - work with biotechnological computer programs, build structural formulas and 3D models of biologically active compounds, name them, calculate molecular weight, proton spectra, dissociation constants - to study the biological activity of drugs using computer programs - to analyze microscopic preparations of industrial microorganisms with the help of computer technologies - search for biotechnological information via the Internet - apply the acquired knowledge and understanding for the introduction of new technologies;
Required prior and related subjects: Informatics Mathematical modeling of microbiological processes General biotechnology Bioinformatics Modern application of biotechnological methods Biomonitoring, biosafety, biosecurity and eco-examination
Summary of the subject: Statistical processing of results. The general population. Presentation of experimental data. The law of distribution. General population and main statistical indicators to characterize the data set. Basic concepts of analysis of variance. Analysis of variance of the influence of certain factors on the studied indicator. One-way analysis of variance. Two-factor analysis of variance. Statistical method of analysis of ANOVA results. Programs for molecular modeling and molecular design. Classification of sensors. Analytical characteristics of sensors. Physico-chemical processes on the sensitive surface of sensors for indication of biologically active compounds and methods of modification of target properties of these sensors. Analyzers for clinical diagnosis. Portable analyzers for clinical diagnosis at home. Systems for "in vivo" monitoring in clinical settings. Enzymes biosensors, sensors based on microorganisms. Biosensors based on plant and animal tissues. Trends in the field of sensory integration. Pharmacoinformatics, purpose, tasks, directions of use. Evidence-based pharmacy. Assessment of the quality of clinical information in accordance with the technologies of evidence-based medicine. Detailed review of medical databases. The current state and capabilities of software for analysis and modeling in ecology. The use of GIS technologies in environmental activities. Computer modeling of biomolecules and nanomaterials. Bioinformation aspects of genomics. Development of joint network platforms for nanobiotechnology.
Assessment methods and criteria: Execution and defense of laboratory works - 20 points; Calculation and graphic work - 30 points. Test - 50 points.
Recommended books: 1. M.E. Solovyov, M.M. Solovyov. Computer chemistry. // "Solon-press". -2005 - 536p. 2. Orlov V.D., Lipson V.V., Ivanov V.V. Medical chemistry // Folio.- 2005.- 464 S. 3. Sean Ekins. Computer applications in pharmaceutical research and development // Wiley.- 2016.- 806 p. 4. White IA, Kleschev M.F. Biological and chemical sensor systems // Kharkiv NTU "KhPI". - 2011. - 144 p. 5. Lakhno V.D. (ed) -Computers and supercomputers in biology // Mosuva 2002. - 560 p. 6. Bultinck P., De Winter H., Langenaeker W., Tollenaere J.P. Computational Medicinal Chemistry for Drug Discovery // New York.- Marcel Dekker Inc.- 2014.- 684 p. 7. Abraham D.J. Burgers Medicinal Chemistry and Drug Discovery. Vol. 1. Drug Discovery. // Wiley.- 2013.- 932 P