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Modeling of Biological Processes

Code:

BINF029

Sigla:

MPB

Áreas Científicas
Classificação	Área Científica
OFICIAL	Biotecnologia

Ocorrência: 2020/2021 - 1S

Ativa?	Yes
Unidade Responsável:	Biotecnologia
Curso/CE Responsável:	Undergraduate in Bioinformatics

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
BINF	13	Study Plan	3	-	5	60	135

Língua de trabalho

Portuguese

Objetivos

This UC goal is to provide students with the mathematical skills to model and simulate biological/biochemical systems from a kinetic/metabolic perspective. This stems from the biochemical systems theory, in which biochemical systems can be modelled using differential equations, encompassing not only kinetics and flows but also regulation processes and compartmentation. This UC also includes models of pharmacokinetic origin.

Resultados de aprendizagem e competências

-

Modo de trabalho

Presencial

Programa

1. Modelling enzymatic reactions: enzyme kinetics; mechanisms of activation and inhibition; mathematical modelling of one enzyme systems – mass action laws, power laws and Henri-Michaelis-Menten law
2. Modelling metabolic networks I: using mass action laws and power laws to describe a 1-compartment metabolic system; system analysis under the framework of metabolic control analysis
3. Modelling metabolic networks II: understanding parallel alternative pathways and what triggers switching among them
4. Modelling metabolic networks III: the role of genes, single gene, probabilistic prokaryotic gene and eukaryotic cis-regulatory control modelling
5. Modelling metabolic networks IV: the case of drugs
6. Modelling compartments I: flow between compartments; transporters
7. Modelling compartments II: a basic overview of the cell as a multitude of communicating compartments; inter-compartment signalling as an approach to extracellular modelling
8. Modelling compartments III: pharmacokinetics

Bibliografia Obrigatória

Fell, D.; Understanding the Control of Metabolism (Frontiers in Metabolism)
Bower, J.M., Bolouri, H.; Computational Modeling of Genetic and Biochemical Networks
Britton, N.F.; Essential Mathematical Biology
Peters, S.A.; Physiologically-Based Pharmacokinetic (PBPK) Modeling and Simulations: Principles, Methods, and Applications in the Pharmaceutical Industry Hardcover,

Métodos de ensino e atividades de aprendizagem

Theoretical demonstrative lectures. Practical exercises class that will be focused on show-casing in a large number of simple examples the various mathematical models that arise in this area

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Teste	70,00
Trabalho escrito	30,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Apresentação/discussão de um trabalho científico	1,00
Estudo autónomo	47,00
Frequência das aulas	52,50
Trabalho de investigação	15,00
Trabalho escrito	20,00
Total:	135,50

Obtenção de frequência

Not applicable.

Fórmula de cálculo da classificação final

Continuous evaluation
Final classification = 35% Test 1 + 35% Test 2 + 15% Work 1 + 15% Work 2


Exam Period and Special Exam Period
100% Exam or
70% Exam + 15% Work 1 + 15% Work 2

- In exam, the minimum grade must be equal to or higher than 9.5 grades.
- Work 1 is a mini-report with computational analysis of a metabolic model using relevant software in Metabolic Engineering.
- Work 2 is the critical analysis of a scientific article (replication of results in silico) based on a theme taught by the teacher. This work will be presented orally, in a group, and a student can be assigned a null classification if he does not present himself in his oral discussion, even if he has signed the work; Students in the same group may be given a different classification based on their commitment, the quality of their oral presentation and the mastery of the topic.
- The submission of works 1 and 2 is mandatory for access to continuous assessment.