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Biomolecular process 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: 10996

The module status: mandatory for the speciality Applied biochemistry

The position in the studies teaching programme: sem: 5 / W9 L9 P9 / 4 ECTS / Z

The language of the lecture: Polish

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

The aim of studying and bibliography

The main aim of study: The fundamental purpose is introducing the students to modern methods and computational tools used in drug designing.

The general information about the module: The module is implemented in the second semester: 15 hours of lectures, 15 hours of laboratory, and 15 hours of project. Module ends with an credit

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

Bibliography required to complete the module
Bibliography used during lectures
1 G.Patrick Chemia leków.Krótkie wykłady PWN. 2012
2 W. Kołos, J. Sadlej Atom i cząsteczka WNT Warszawa. 1998,
3 P. G. Higgs, T. K. Attwood Bioinformatyka i ewolucja molekularna PWN, Warszawa. 2008
Bibliography used during classes/laboratories/others
1 Tadeusz Pietryga Instrukcje laboratoryjne Katedra Chemii Fizycznej. 2013

Basic requirements in category knowledge/skills/social competences

Formal requirements: Registration for the semester

Basic requirements in category knowledge: General, physical and organic chemistry at a basic level

Basic requirements in category skills: Basic computer skills, the laws of chemical thermodynamics and chemical kinetics, the basics of protein structures.

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 modeling. lecture, laboratory written test, written report K_U01+
K_U08+
K_K01+
P6S_KK
P6S_KR
P6S_UW
02 Is able to modeling simple chemical reactions and investigate ligand-receptor interactions. laboratory written test, performance monitoring K_U19+
K_K03+
P6S_KR
P6S_UO
P6S_UW
03 Has a basic knowledge of homological analysis for modeling of protein structure. lecture, laboratory written test, written report K_W03+
P6S_WG
04 Has a basic knowledge of biomolecular data bases. laboratory written raport, performance monitoring K_K03+
P6S_KR
05 Has a basic knowledge of usage of molecular docking. lecture, laboratory written test, written report, performance monitoring K_W14+
P6S_WG
06 Has a basic knowledge of structure-activity relationships (QSAR). lecture, laboratory written test, written report K_U19+
K_K03+
P6S_KR
P6S_UO
P6S_UW

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
5 TK01 Fundamentals of molecular modeling methods: molecular mechanics, molecular dynamics, Monte Carlo method. Molecular forces. Basics of molecular quantum mechanics: ab initio methods, semi-empirical methods, methods exploiting density functionals (DFT). Biomolecular geometry optimization. Biomolecular structure data bases (Protein Data Bank PDB, PDBe, PDBj), ligand data bases (PubChem, ZINC, BindingDB), enzyme data bases, others). Information downloading from biological data bases. Elements of homological analysis. Basics of spatial protein structure modeling. Modeling of quantities describing physicochemical properties of biological and chemical systems. Ligand conformation analysis. Application of molecular modeling methods in studies of biochemical system reactivities. Study of thermodynamics and transition states of chemical reactions. Molecular docking: docking methods, scored functions of assessment of ligand–receptor interaction. Examination of structure-biological activity relation (2D-QSAR, 3D-QSAR, 4D-QSAR, 5D-QSAR, 6D-QSAR). Kinds of structural indexes and techniques of their calculation. CoMFA and CoMSIA methods. W15 MEK01 MEK03 MEK04 MEK05 MEK06
5 TK02 1. Biomolecular structure data bases (Protein Data Bank PDB, PDBe, PDBj), ligand data bases (PubChem, ZINC, BindingDB), enzyme data bases, Entrez and ExPASy services, others). Information downloading from biological data bases. 2. Visualization of the structure and physicochemical properties of biomolecules. Adjustment of protein and ligand structures. 3. Modeling of quantities describing physicochemical properties of biological and chemical systems. Conformational analysis of ligands. 4. Modeling of protein structure. 5. Modeling of chemical reaction (thermodynamics, transition states) using en example of a reaction of a drug with a specific receptor. 6. Calculation of QSAR descriptors. 7. Examination of structure-biological activity relationships (QSAR). 8. Molecular docking processes. Investigation of ligand-receptor (i.e. drug-protein) interaction. L30 MEK01 MEK02 MEK03 MEK04 MEK05 MEK06

The student's effort

The type of classes The work before classes The participation in classes The work after classes
Lecture (sem. 5) contact hours: 9.00 hours/sem.
Laboratory (sem. 5) The preparation for a test: 20.00 hours/sem.
contact hours: 9.00 hours/sem.
Finishing/Making the report: 5.00 hours/sem.
Project/Seminar (sem. 5) The preparation for projects/seminars: 20.00 hours/sem.
contact hours: 9.00 hours/sem..
Doing the project/report/ Keeping records: 20.00 hours/sem.
Advice (sem. 5)
Credit (sem. 5) The preparation for a Credit: 15.00 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
Laboratory
Project/Seminar
The final grade Final grade (K): K = 0,50 * W * w + 0,50 * L * w; where: W, L - positive evaluation of the credit of lecture, laboratory; w - factor related to the time of credit or laboratory, 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