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Biomolecular processes modeling

Some basic information about the module

Cycle of education: 2022/2023

The name of the faculty organization unit: The faculty Chemistry

The name of the field of study: Biotechnology

The area of study: technical sciences

The profile of studing:

The level of study: first degree study

Type of study: past time

discipline specialities : Applied biochemistry, Purification and analysis of biotechnological products

The degree after graduating from university: Bachelor of Science (BSc)

The name of the module department : Department of Physical Chemistry

The code of the module: 10922

The module status: mandatory for the speciality Purification and analysis of biotechnological products

The position in the studies teaching programme: sem: 6 / W18 L9 P18 / 6 ECTS / Z

The language of the lecture: Polish

The name of the coordinator 1: Tadeusz Pietryga, PhD, Eng.

The name of the coordinator 2: Katarzyna Rydel-Ciszek, PhD, Eng.

The aim of studying and bibliography

The main aim of study: Introducing the students to modern methods and computational tools used in biomolecular modeling. This knowledge is essential for studying of biotechnology processes (eg. conformation analysis, study of dynamic properties of biomolecules, designing new compounds, etc.).

The general information about the module: The module is implemented in the sixth semester. It includes 30 hours of lectures, 15 hours of laboratory and 30 hours of project. The module is ending with the credit.

Teaching materials: Instrukcje do ćwiczeń laboratoryjnych dostępne ze strony domowej koordynatora

Bibliography required to complete the module
Bibliography used during lectures
1 L. Piela Idee chemii kwantowej PWN, Warszawa. 2003
2 W. Kołos, J. Sadlej Atom i cząsteczka WNT Warszawa. 1998
3 A.D. Baxevanis, B.F.F. Quellette Bioinformatyka. Podręcznik do analizy genów i białek PWN, Warszawa. 2005
4 P. G. Higgs, T. K. Attwood Bioinformatyka i ewolucja molekularna PWN, Warszawa. 2008
Bibliography used during classes/laboratories/others
1 T.Pietryga Instrukcje laboratoryjne Katedra Chemii Fizycznej. 2012

Basic requirements in category knowledge/skills/social competences

Formal requirements: Registration for the given semester

Basic requirements in category knowledge: Basic knowledge in the physical chemistry, biochemistry and proteins

Basic requirements in category skills: Basic computer skills.

Basic requirements in category social competences: Ability of the cooperation and the work in the group

Module outcomes

MEK The student who completed the module Types of classes / teaching methods leading to achieving a given outcome of teaching Methods of verifying every mentioned outcome of teaching Relationships with KEK Relationships with PRK
01 Has a basic knowledge of: -the methods of molecular and biomolecular modelling; -modeling of simple chemical reactions, spectroscopic spectra and ligand-receptor interactions; -prediction of secondary protein structure and space protein structure; -biomolecular data bases and homological analysis of protein; -structure-activity relatioships (QSAR). lecture, laboratory written test, written report K_W03++
K_W14++
P6S_WG
02 Is able to apply basic methods of biomolecular modeling to study simple chemical reactions and to predict reactivity/activity of chemical compounds based on their structure and to estimate heat effects of simple chemical processes. Is able to model a simple biotechnological process using tools of biomolecular modeling. laboratory, team project (2) written raport, raport from the project K_U08++
K_U19++
K_K03++
P6S_KR
P6S_UO
P6S_UW
03 Is able to find pieces of information in literature data bases and biomolecular data bases. laboratory, team (2) project written raport, raport from the project K_U01++
P6S_UW
04 Is aware that biomolecular modeling process can be multivariant one and therefore is able to work alone and collectively, make decisions and follow instructions of superiors, responsible for the research. Is also aware of the fact that biomolecular modeling methods are constantly developing and understands the necessity of additional training and improving ones professional qualifications in this lecture, laboratory, team (2) project written test, written report K_K01+
K_K03+
P6S_KK
P6S_KR

Attention: Depending on the epidemic situation, verification of the achieved learning outcomes specified in the study program, in particular credits and examinations at the end of specific classes, can be implemented remotely (real-time meetings).

The syllabus of the module

Sem. TK The content realized in MEK
6 TK01 Main conceptions of biomolecular modeling. Fundamentals of molecular modeling methods: molecular mechanics, molecular dynamics, Monte Carlo method. Molecular forces: covalent, electrostatic, hydrogen and hydrophobic interactions. Basics of molecular quantum mechanics: ab initio methods, semi-empirical methods, DFT method, hybrid methods. Methods of optimization of molecular geometry. Biotechnological bases, other biomolecular bases. Elements of homological analysis . Phylogenetic analysis in proteins. Protein modeling: amino acids, peptides, proteins – modeling of protein structure (primary, secondary, tertiary and quaternary structure). Application of molecular modeling methods in conformational analysis of biological systems. Study of reactivity by quantum chemistry methods. Computer modeling and study of reaction kinetics and thermodynamics. Application of molecular modeling methods in studies of active site reactivities of biochemical (enzymatic) systems, modeling of chemical reactions and transition states, spectroscopic spectra. Molecular docking: docking methods and algorithms, scoring functions of ligand-receptor interaction. Biomolecular modeling in the design of pharmacophores. Quantitative structure-activity relation QSAR methods (2D-QSAR, 3D-QSAR, 4D-QSAR, 5D-QSAR, 6D-QSAR). Kinds of structural indexes and techniques of their calculation. CoMFA and CoMSIA methods and their applications in biotechnology. W30 MEK01
6 TK02 Data bases of structural proteins in biomolelular modelling. Homology and phylogenetic analysis of proteins. Minimization energy in peptides and proteins. Modeling of protein structure. Conformational analysis. Electrostatic properties of biomolecules. Examination of structure-activity relation (QSAR) Quantum chemistry investigation of antioxidative properties of flavonoids. Computer modeling of sun filters. Study of reactivity of enzyme systems, modeling of chemical reaction and its transition states. Molecular docking. L15 MEK02 MEK03 MEK04
6 TK03 Carrying out of the assigned computational design. P30 MEK02 MEK03 MEK04

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 6) contact hours: 18.00 hours/sem.
complementing/reading through notes: 15.00 hours/sem.
Studying the recommended bibliography: 15.00 hours/sem.
Laboratory (sem. 6) The preparation for a Laboratory: 10.00 hours/sem.
The preparation for a test: 15.00 hours/sem.
contact hours: 9.00 hours/sem.
Finishing/Making the report: 10.00 hours/sem.
Project/Seminar (sem. 6) The preparation for projects/seminars: 5.00 hours/sem.
contact hours: 18.00 hours/sem..
Doing the project/report/ Keeping records: 15.00 hours/sem.
Advice (sem. 6) The participation in Advice: 2.00 hours/sem.
Credit (sem. 6) The preparation for a Credit: 20.00 hours/sem.
The written credit: 2.00 hours/sem.

The way of giving the component module grades and the final grade

The type of classes The way of giving the final grade
Lecture Written credit of lecture covering the entire range of material of lecture. Evaluation of the test depends on the number of points scored: 3,0 (50,0 %-60,0%) MP ; 3,5 (60,1%-70,0%) MP; 4,0 (70,1%-80,0%) MP; 4,5 (80,1%-90,0%) MP; 5,0 (90,1%-100%) MP. MP- max. points.
Laboratory Correct performance of laboratory exercises included in the schedule and correct preparation of written reports on every exercise.
Project/Seminar Carrying out of a computational design (2-projekt team), submission of written report on the project and its positive evaluation.
The final grade Final grade (K): K = 0,50 w W + 0,50 w P; where: W, P - positive evaluation of the credit of lecture, project; w - factor related to the time of credit or project, w= 1.0 first term, w = 0.9 second term , w = 0.8 third term.The grade is rounded according to WKZJK.

Sample problems

Required during the exam/when receiving the credit
(-)

Realized during classes/laboratories/projects
(-)

Others
(-)

Can a student use any teaching aids during the exam/when receiving the credit : no

The contents of the module are associated with the research profile: yes

1 K. Rydel-Ciszek DFT Studies of the Activity and Reactivity of Limonene in Comparison with Selected Monoterpenes 2024
2 P. Chmielarz; T. Pacześniak; K. Rydel-Ciszek; A. Sobkowiak Bio-Inspired Iron Pentadentate Complexes as Dioxygen Activators in the Oxidation of Cyclohexene and Limonene 2023
3 K. Rydel-Ciszek The most reactive iron and manganese complexes with N-pentadentate ligands for dioxygen activation—synthesis, characteristics, applications 2021
4 P. Chmielarz; A. Miłaczewska; T. Pacześniak; K. Rydel-Ciszek; A. Sobkowiak ‘Oxygen-Consuming Complexes’–Catalytic Effects of Iron–Salen Complexes with Dioxygen 2021
5 P. Błoniarz; P. Chmielarz; T. Pacześniak; K. Rydel-Ciszek; A. Sobkowiak; K. Surmacz; I. Zaborniak Iron-Based Catalytically Active Complexes in Preparation of Functional Materials 2020