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Обычная версия сайта
2026/2027

Структурная биоинформатика

ID 1206336

Язык: русский
Кредиты: 6
Контактные часы: 60

Программа дисциплины

Аннотация

The course focuses on methods for analyzing the three-dimensional structure of biological macromolecules and their application in modern scientific research. Students will study the theoretical foundations of predicting the spatial structure of proteins and nucleic acids, the principles of molecular docking, as well as approaches to modeling protein–ligand interactions. Special attention is given to the practical use of databases (PDB, UniProt) and computational tools for solving problems in rational drug design and understanding the molecular mechanisms of biomolecule function.
Цель освоения дисциплины

Цель освоения дисциплины

  • The course focuses on methods for analyzing the three-dimensional structure of biological macromolecules and their application in modern scientific research. Students will study the theoretical foundations of predicting the spatial structure of proteins and nucleic acids, the principles of molecular docking, as well as approaches to modeling protein–ligand interactions. Special attention is given to the practical use of databases (PDB, UniProt) and computational tools for solving problems in rational drug design and understanding the molecular mechanisms of biomolecule function.
Планируемые результаты обучения

Планируемые результаты обучения

  • should be able to: Assess the role of various elements of the genome in evolution; Apply knowledge of the structure, organization, levels of functioning, stability and polymorphism of genomes; Focus on problems solved at the level of knowledge of proteomes; Acquire skills in solving any general biological problems, based on new knowledge of genomes and proteomes.
  • should know: Patterns of the organization of the genomes and proteomes of organisms of different groups; Basics of the functioning of genomes and proteomes The role of various genetic elements Basics of structural analysis of genomes Basics of proteomic analysis
  • become familiar with the main bioinformatics resources, including databases, web portals, computer programs for working with molecular biology databases, as well as programs that implement bioinformatics methods.
  • Mastering the structure of nucleic acids and the organization of the nuclear genome
  • A student describes main types of protein modifications behind cell cycle regulation
  • a student navigates key biological databases
  • a student applies pairwise alignment algorithms
  • a student evaluates the statistical significance of alignments
  • a student performs multiple sequence alignment
  • a student describes the levels of protein structure
  • a student interprets Ramachandran plots
  • a student navigates the PDB database
  • a student classifies protein folds
  • a student compares three-dimensional structures
  • a student applies AI-based structure prediction tools
  • a student assess the scope and limitations of AI methods
  • a student analyzes MD trajectories using key metrics
  • a student applie PCA to MD data to detect and interpret large-scale collective motions and conformational transitions
  • a student applies virtual screening workflows as a tool for rational drug design to identify and prioritize promising lead compounds
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Introduction to Bioinformatics and Biological Databases
  • Sequence alignment.
  • Structure prediction: AI approaches
  • Molecular dynamics: theoretical foundations.
  • Molecular docking: theory and practice
  • Analysis of NGS data
  • Fundamentals of structural biology and the PDB database.
  • Classification and comparison of three-dimensional structures
Элементы контроля

Элементы контроля

  • неблокирующий From Gene to Function
  • неблокирующий Report
  • неблокирующий Molecular docking
  • неблокирующий Report
Промежуточная аттестация

Промежуточная аттестация

  • 2026/2027 2nd module
    0.3 * Report + 0.3 * Report + 0.2 * Molecular docking + 0.2 * From Gene to Function
Список литературы

Список литературы

Рекомендуемая основная литература

  • Introduction to bioinformatics, Lesk, A. M., 2019

Рекомендуемая дополнительная литература

  • Global Minimization of Nonconvex Energy Functions : Molecular Conformation and Protein Folding, DIMACS Workshop, March 20-21, 1995, editors P. M. Pardalos, D. Shalloway, G. Xue, 271 p., , 1996
  • Statistical bioinformatics with R, Mathur, S. K., 2010

Авторы

  • Станкевич Наталия Владимировна
  • Багаев Андрей Владимирович