(in Polish) Dysrhythmia as a disorder of the physiological rhythm of the body's electrical activity 1700-OG-EN-Dysrhythm

Lectures
The main task of the lectures is to familiarize students with the classification of ATCs, evaluation of physicochemical properties, e.g.: aromaticity, rotational bonds, polar surface area, logP, molecular weight, hydrogen bond-building potential.
Use of relevant protein and molecule databases.
The process of evaluating drug candidates that modulate electrophysiological processes using new computational methods and molecular modeling.
In silico evaluation of the potential toxicity of test compounds.

Laboratories:
The student will participate in in silico experiments to determine the pharmacological and physicochemical properties of compounds. The student will acquire practical skills in the evaluation of potential activity and toxicity using molecular modeling methods, as well as gain skills in the interpretation of the obtained results.

Total student workload

Contact hours with teacher: - participation in lectures: 10 hrs, - participation in laboratory: 22 hrs, - consultations with an academic teacher: 2 hrs, - completion of the test: 1 hr. The workload related to the activities requiring the direct participation of academic teachers is 35 hrs, which corresponds to 1.4 ECTS points. Self-study hours: - preparation for lectures: 6 hrs - preparation for labs: 12 hrs - reading literature: 10 hrs - preparation for test: 12 hrs The total workload related to the self-study hours is 40 hours, which corresponds to 1.6 ECTS point. Altogether: 75 hrs (3.0 ECTS

Learning outcomes - knowledge

Student: W1: has the knowledge that dysrhythmias can involve disorders of the electrical activity of the heart, brain and stomach; A.W4. (pharmacy) W2: knows the anatomical structure of the human body and the basic relationships between structure and function of the body in health and disease; A.W4. (pharmacy) W3: has a basic knowledge of the chemical structure of the main substances that affect the electrical activity of the heart, brain and stomach. C.W2. (Pharmacy) W4: is familiar with the molecular aspects of signal transduction; C.W10. (pharmacy) W5: has a basic knowledge of the structure, compounds of physicochemical and pharmacological properties of drugs affecting the modulation of electrophysiological processes. C.W3. (pharmacy) W6: has knowledge of pharmacokinetic (ADME) processes and their importance in drug development studies and in optimizing pharmacotherapy; D.W4. (pharmacy)

Learning outcomes - skills

Student: U1: can evaluate, based on chemical structure, the properties of substances for pharmaceutical use; C.U3. (pharmacy) U2: is capable of indicating the relationship between morphological abnormalities of electrophysiological processes, clinical symptoms and therapy strategy; B.U12 (pharmacy) U3: can explain structure-activity relationship of organic compounds. B.U10. (pharmacy)

Learning outcomes - social competencies

Student: K1: is able to use various sources of drug information and critically interpret this information; E.U25. )pharmacy) K2: participate in health promotion and prevention activities; E.U26. (pharmacy)

Teaching methods

Lectures: - informative (conventional) lecture with multimedia presentation - participatory lecture - problem-based lecture Laboratories: - performing experiments and problem analysis.

Type of course

elective course

Prerequisites

To realize the described subject, it is necessary to know elements of organic compounds properties.

Course coordinators

Łukasz Fijałkowski
Alicja Nowaczyk

Assessment criteria

Assessment methods:
- test (W1-W6, U1-U3)
The appropriate number of points from the final test is required.
Assessment criteria:
fail- 0-59%
satisfactory- 60-67%
satisfactory plus- 68-75%
good – 76-83%
good plus- 84-90%
very good- 91-100%

Bibliography

Primary literature:
1. Human physiology: from cells to systems. Sherwood, Lauralee. Cengage learning, 2015.
2. Autonomic modulation of cardiac arrhythmias: methods to assess treatment and outcomes. Stavrakis, S., Kulkarni, K., Singh, J. P., Katritsis, D. G., & Armoundas, A. A. (2020). Clinical Electrophysiology, 6(5), 467-483. Jensen J. H. Molecular Modeling Basics. CRC Press, 2017.
3. Transporter Proteins as Antitarget for Drug Cardiotoxicity. Kowalska, M.; Nowaczyk, J.; Nowaczyk, A., KV11. 1, NaV1. 5, and CaV1. 2 International Journal of Molecular Sciences 2020, 21, (21), 8099.
4. Singh D. B. Computer Aided Drug Design. Springer, 2020.
Supplementary literature:
1. Pirhadi, S., Sunseri, J., & Koes, D. R. (2016). Open source molecular modeling. Journal of Molecular Graphics and Modelling, 69, 127-143.
2. Sabe, V. T., Ntombela, T., Jhamba, L. A., Maguire, G. E., Govender, T., Naicker, T., & Kruger, H. G. (2021). Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review. European Journal of Medicinal Chemistry, 224, 113705

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 1700-OG-EN-Dysrhythm in USOSweb