Bioinformatics

Major: Biotechnology and Bioengineering
Code of subject: 7.162.03.M.023
Credits: 5.00
Department: Technology of Biologically Active Substances, Pharmacy and Biotechnology
Lecturer: Assistant, Ph.D.,Natalija Monka Doctor of Economical Sciences, Associate Professor Sofiya Vasylyuk
Semester: 2 семестр
Mode of study: денна
Learning outcomes: PRE 4. Be able to choose and apply the most appropriate methods of mathematical modeling and optimization in the development of scientific and technical projects. PRE5.Know the molecular organization and regulation of gene expression, replication, recombination and repair, restriction and modification of genetic material in pro- and eukaryotes, the strategy of creating recombinant DNA for targeted design of biological agents. PRE10. Introduce the most effective biotechnological methods and techniques in practical production activities based on the evaluation of the effectiveness of advanced biotechnologies and taking into account the general trends in the development of new biotechnologies in leading countries. PRE11. Fluently communicate orally and in writing in state and foreign languages. Discuss the results of research, discuss the innovation and production management and biotechnology with experts and non-specialists. PRE12. Analyze and take into account in practice the trends of scientific and technological development of society and the biotechnology industry.
Required prior and related subjects: Prerequisites: Cell biology; Molecular biology; Bioengineering (cell and genetic); Genetics (general and molecular) Co-requisites: Nanotechnologies and DNA-technologies; Biomonitoring, biosafety, biosecurity and ecoexpertise; Methodology and organization of scientific research
Summary of the subject: Bioinformatics as a science. The organization of living systems at the molecular level. Systems biology. The nature and complexity of the biological data interpretation. Bioinformatics database and tools for their analysis. Bioinformatics Tools. Methods of nucleotide and amino acid sequences alignment. The matrix of amino acid substitutions. Phylogeny. Bioinformatics as a way to accelerate the process of drug development.
Assessment methods and criteria: • oral questioning, written reports for laboratory works (25 points); • final control (exam) – 75 points (written-oral form).
Recommended books: 1. Bioinformatyka. Praktykum [Elektronnyy resurs] : navch. posib. dlya stud. spetsialnosti 162 «Biotekhnolohiya ta bioinzheneriyi» / KPI im. Ihorya Sikorskoho; avtor.: S.V. Horobets, O.YU.Horobets, I.V. Demyanenko. – Elektronni tekstovi dani (1 fayl: 12,78 Mbayt). – Kyyiv : KPI im. Ihorya Sikorskoho, 2020. – 87 s 2. Horobets, S. V. Bioinformatychni bazy danykh [Elektronnyy resurs] : navch. posib. dlya stud. spetsialnosti 162 «Biotekhnolohiyi ta bioinzheneriya» / S. V. Horobets, O. YU. Horobets, M. O. Bulayevska ; KPI im. Ihorya Sikorskoho. – Elektronni tekstovi dani (1 fayl: 3,86 Mbayt). – Kyyiv : KPI im. Ihorya Sikorskoho, 2020. – 117 s. 3. David W. Mount Bioinformatics (Sequence and Genome Analysis). Cold Spring Harbor Laboratory Press. – 2001. 4. Zhou X., Wong S.T.C. Computational Systems Bioinformatics. World Scientific Publishers. 2007. 5. Kamenskaya M.A. Ynformatsyonnaya byolohyya – M.: Yzdatelskyy tsentr “Akademyya”, 2006. 6. Osnovy bioinformatyky. Metodychni vkazivky. / Ukladachi: Horobets S.V., Horobets O.YU. – K.: VPK “Politekhnika”, 2007. – 64 s. 7. Glazko V.I., Glazko V.G. Vvedeniye v DNK-tekhnologiyu i bioinformatiku. – K.: Nora-print, 2005. – 136 s. 8. Lesk A.M. Vvedeniye v bioinformatiku Izdatel'stvo: Binom. Laborato-riya znaniy, 2009, 318s. 9. Arthur M. Lesk Introduction to Bioinformatics Publish-er: Oxford University Press (May 1, 2002), 283 pages