Code: | MI073229 | Acronym: | FCOL1 |
Keywords | |
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Classification | Keyword |
OFICIAL | Health Sciences |
Active? | Yes |
Web Page: | https://moodle.up.pt/course/view.php?id=105 |
Responsible unit: | Pharmacology Laboratory |
Course/CS Responsible: | MSc in Pharmaceutical Sciences |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MICF | 173 | Official Curriculum | 3 | - | 6,5 | 65 | 175,5 |
GENERAL PHARMACOLOGY
Understand the scientific methods that support Pharmacology and distinguish it from pseudocience. Understand the general mechanisms of drug action, their cycle in the organism, and the factors affecting individual and interindividual variability in drug response.
NEUROPHARMACOLOGY
Apply neuronal communication concepts in the definition of experimental and therapeutic pharmacological interventions. Know the main groups of drugs used in peripheral and central nervous system modulation; understand their mechanims of action and adverse reactions; understand the models and experimental techniques underlying the development and validation of such drugs.
LABORATORIAL COMPONENT
Plan, conduct and analyse different types of pharmacological experiments; Interpret specific pharmacological-literature
EXPECTED OUTCOME
Prepare individuals that:
1) Know the general principles of Pharmacology;
2) Are capable of expressing critical and scientific opinions on the validity and risk/benefit of using drugs belonging to the studied therapeutic groups;
3) Are capable of applying the general principles to new pharmacological contexts.
Theoretical Program
1. General Pharmacology
1.1. Basic & Clinical Evaluation of New Drugs
1.2. Pharmacodynamics
1.3. Pharmacokinetics
2. Neuropharmacology
2.1. Autonomic Nervous System Pharmacology
2.1.1. Cholinergic transmission
2.1.2. Adrenergic transmission
2.2. Central Nervous System Pharmacology
2.2.1. Anxiolytics and hypnotics
2.2.2. Antidepressants
2.2.3. Antipsychotics and mood stabilizers
2.2.4. Pharmacology of addiction
2.2.5. Antiparkinsonian and other drugs with utility in neurodegenerative diseases
2.2.6. Antiepileptics
Laboratory Program
1. General considerations in assessing drug efficacy in humans vs. non-human models. Simulation tests with randomization and blinding techniques, and the study of placebo effect.
2. Introduction to good practice in laboratory animal science. Noninvasive behavioral tests in Mus musculus.
3. Alternatives to animal testing. Less complex organisms (Drosophyla melanogaster, Danio rerio). In vitro assays. Tests on isolated organs.
4. Characterization of agonists. Concentration response curves, calculation of EC50 and other associated parameters.
5. Characterization of antagonists. Antagonism: physiological, pharmacological, competitive, noncompetitive, reversible and irreversible. Schild regression. Calculation of pA2 and PKB.
6. Mechanisms of neurotransmitter inactivation. Desensitization and spare receptors. Characterization of receptors. Order of potency of agonists and antagonists.
7. Practical applications with software for plotting and analysing pharmacological data.
Theorethical and Laboratorial teaching, highlighting active learning via conceptual debates, planning, execution, analysis and discussion of laboratory experiments. In person teaching, complemented with e-learning and independent study.
designation | Weight (%) |
---|---|
Exame | 75,00 |
Trabalho laboratorial | 25,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 80,00 |
Frequência das aulas | 65,00 |
Trabalho laboratorial | 30,00 |
Total: | 175,00 |
FINAL MARK (0-20) = distributed assessment (0-5) + final exam (0-15)
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PEER ASSESSMENT
The distributed assessment score will be a function of the student performance as assessed by the professor, with 10% (0,5 val) modulation by the anonymous scores provided by the lab group members weighting the student's contribution fro the group work.
The final mark may (*) be majored up to 0,75 val via anonymous peer assessment, weighting the student's contribution for the success of the curricular unit, namely by sharing experimental data, study material, builduing and scoring syllabus in the e-learning plattform, sharing material built for lab works, help in FAQS and study support, etc.
(*) The number of voting students must be representative (at least 10).