Item card
Bioinformatics
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:
full 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 Biochemistry and Bioinformatics
The code of the module:
224
The module status:
mandatory for teaching programme
The position in the studies teaching programme:
sem: 3 / W15 L15 / 2 ECTS / Z
The language of the lecture:
Polish
The name of the coordinator:
Andrzej Łyskowski, PhD, Eng.
office hours of the coordinator:
Terminy konsultacji podane na pierwszych zajęciach.
semester 3:
Marcin Jaromin, MSc, Eng. , office hours Consultation dates given at the first class.
The aim of studying and bibliography
The main aim of study:
To obtain knowledge and skills in basic methods and bioinformatics tools
The general information about the module:
The module realized in the form lectures (15 h) and laboratory (15 h) exercises.
Teaching materials:
Bioinformatyka: materiały na portalu e-learning.prz.edu.pl.
Bibliography required to complete the module
| 1 | - | Bioinformatyka: materiały na portalu e-learning.prz.edu.pl | -. | - |
| 1 | A. D. Baxevanis, B. F. F. Ouellette | Bioinformatyka . Podręcznik do analizy genów i białek | PWN, Warszawa . | 2004 |
| 2 | P. G. Higgs, T. K. Attwood | Bioinformatyka i ewolucja molekularna | PWN Warszawa. | 2008 |
| 3 | J.Xiong | Podstawy bioinformatyki | Wydawnictwa Uniwersytetu Warszawskiego. | 2009 |
Basic requirements in category knowledge/skills/social competences
Formal requirements:
Registration for current semester.
Basic requirements in category knowledge:
Basic knowledge of organic chemistry and biochemistry.
Basic requirements in category skills:
Fluent computer skills and knowledge of the Windows operating system
Basic requirements in category social competences:
Ability to work individually and in a team of 2-3 persons.
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 |
|---|---|---|---|---|---|
| MEK01 | Students can search for and retrieve information from bioinformatics databases | lecture, laboratory | written exam, test, observation of the task performance |
K-W14+ K-U01++ |
P6S-UW P6S-WG |
| MEK02 | Student can visualize 3D models of protein structures. | lecture, laboratory, laboratory at which the student solves the problems. | test, observation of the task performance, report on the project |
K-W03+ K-W14+ K-U08+ K-U09+ |
P6S-UO P6S-UW P6S-WG |
| MEK03 | The student is able to apply dedicated bioinformatic software to solve problems of molecular biology and biotechnology | lecture, laboratory | written exam, test, observation of the task performance, written report, |
K-W01+ K-W14+ K-U08+ K-U10++ |
P6S-UW P6S-WG |
| MEK04 | The students can use the e-learning courses in the process of self-education. | lecture, laboratory | observation of the task performance |
K-U02+ K-U06+++ K-K01++ |
P6S-KK P6S-KR P6S-UK P6S-UU |
The syllabus of the module
| Sem. | TK | The content | realized in | MEK |
|---|---|---|---|---|
| 3 | TK01 | W01-W15 | MEK01 MEK02 MEK03 MEK04 | |
| 3 | TK02 | L01-L03 | MEK01 MEK03 MEK04 | |
| 3 | TK03 | L04-L05 | 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. 3) | contact hours:
15.00 hours/sem. |
complementing/reading through notes:
5.00 hours/sem. Studying the recommended bibliography: 5.00 hours/sem. |
|
| Laboratory (sem. 3) | The preparation for a Laboratory:
3.00 hours/sem. The preparation for a test: 5.00 hours/sem. |
contact hours:
15.00 hours/sem. |
Finishing/Making the report:
5.00 hours/sem. |
| Advice (sem. 3) | |||
| Credit (sem. 3) |
The way of giving the component module grades and the final grade
| The type of classes | The way of giving the final grade |
|---|---|
| Lecture | The pass note is granted to students with at least 50% of points from the written test. |
| Laboratory | Credit is granted for to the students who participated in all exercises, passed all control tests and submitted all required reports. |
| The final grade | The final note is an derivaticve of all points/partial notes collected from the module activities and precise rages are communicated before the test. The final note is calculated according to equation: K=a*wA+c*wC+l*wL (a-lecture coeff., c-tutorial coeff., l-laboratory/project coeff., w=1,0, w=0,9, w=0,8 receptively for the 1st, 2nd, 3rd attempt). The note is calculated only if all components have been passed. Values of coefficiants are presented to the students during the initial teaching session. |
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 | A. Bocian; A. Łyskowski; B. Marczak | Antimicrobial Peptide Databases as the Guiding Resource in New Antimicrobial Agent Identification via Computational Methods | 2025 |
| 2 | A. Bocian; J. Buczkowicz; E. Ciszkowicz; K. Hus; K. Lecka-Szlachta; A. Łyskowski | Peptyd antybakteryjny oraz jego zastosowanie | 2025 |
| 3 | A. Bocian; J. Buczkowicz; E. Ciszkowicz; K. Hus; K. Lecka-Szlachta; A. Łyskowski | Peptyd antybakteryjny oraz zastosowanie tego peptydu antybakteryjnego | 2025 |
| 4 | E. Ciszkowicz; M. Dżugan; A. Łyskowski; M. Miłek; M. Tomczyk | Selected Polyphenols of Polish Poplar Propolis as a Key Component Shaping Its Antibacterial Properties—In Vitro and In Silico Approaches | 2025 |
| 5 | M. Bauer; A. Bocian; J. Buczkowicz; E. Ciszkowicz; K. Hus; W. Kamysz; K. Lecka-Szlachta; A. Łyskowski; A. Miłoś; D. Neubauer; A. Nieczaj; K. Sikora | AMPEC4: Naja ashei Venom-Derived Peptide as a Stimulator of Fibroblast Migration with Antibacterial Activity | 2025 |
| 6 | M. Dąbrowska; A. Łyskowski; M. Misiorek; Ż. Szymaszek; M. Twardowska; Ł. Uram; S. Wołowiec | Human Embryonic Kidney HEK293 Cells as a Model to Study SMVT-Independent Transport of Biotin and Biotin-Furnished Nanoparticles in Targeted Therapy | 2025 |
| 7 | A. Łyskowski; M. Misiorek; Z. Rauk; Z. Setkowicz; Ż. Szymaszek; M. Twardowska; Ł. Uram; S. Wołowiec | The Importance of Biotinylation for the Suitability of Cationic and Neutral Fourth-Generation Polyamidoamine Dendrimers as Targeted Drug Carriers in the Therapy of Glioma and Liver Cancer | 2024 |
| 8 | M. Dżugan; A. Łyskowski; M. Miłek | Assessing the Antimicrobial Properties of Honey Protein Components through In Silico Comparative Peptide Composition and Distribution Analysis | 2023 |
| 9 | V. Csitkovits; K. Gruber; C. Kratky; B. Kräutler; A. Łyskowski | Structure-Based Demystification of Radical Catalysis by a Coenzyme B12 dependent Enzyme – Crystallographic Study of Glutamate Mutase with Cofactor Homologues | 2022 |
| 10 | K. Chen; Ł. Jaremko; M. Jaremko; A. Łyskowski | Genetic and Molecular Factors Determining Grain Weight in Rice | 2021 |