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Molecular Bioinformatics I

Code: Q4088     Acronym: Q4088     Level: 400

Keywords
Classification Keyword
OFICIAL Chemistry

Instance: 2020/2021 - 2S Ícone do Moodle Ícone  do Teams

Active? Yes
Responsible unit: Department of Chemistry and Biochemistry
Course/CS Responsible: Master in Applications in Biotechnology and Synthetic Biology

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
M:ABBS 14 The study plan from 2019/20 1 - 3 21 81
Mais informaçõesLast updated on 2020-10-16.

Fields changed: Mandatory literature, Lingua de trabalho

Teaching language

Portuguese and english
Obs.: A língua de ensino será o Português se todos os estudantes pertencerem a países de língua oficial portuguesa. Caso contrário, a língua de ensino será o Inglês.

Objectives

We intend to provide students with a comprehensive overview of current Molecular Bioinformatics topics.
In practical labs, students are encouraged to develop small protocols on the research topics covered.

Learning outcomes and competences

Expertise in the use of bioinformatic tools and softwares. Expertise in macromolecule modelling. Expertise in molecular docking. Capacity for choosing the most adequate bioinformatic tool for each biochemical problem.

 

Working method

Presencial

Program

Lectures.
1. Homology modelling and geometry optimization of proteins.
2. Protein-ligand molecular docking.


Practical classes.
The students will develop some protocols within the field of the lecture's contents.

Mandatory literature

Leach Andrew R.; Molecular modelling. ISBN: 0-582-38210-6
Cerqueira, N., Gesto, D., Oliveira, E. F., Santos-Martins, D., Bras, N. F., Sousa, S. F., Fernandes P. A., Ramos, M. J.; Receptor-based virtual screening protocol for drug discovery, Archives of Biochemistry and Biophysics, 582, 56-67. doi:10.1016/j.abb.2015.05.011
João Marques Sousa, Matilde Ribeiro Viegas, Pedro Teixeira Ferreira, Pedro Coelho Paiva, Ana Luísa Oliveira, Pedro Alexandrino Fernandes, Maria João Ramos; Bioinformática Molecular, Faculdade de Ciências, Universidade do Porto, 2020

Teaching methods and learning activities

Lectures, often done with workshops.
Practical computational classes, with one student per computer.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

designation Weight (%)
Apresentação/discussão de um trabalho científico 10,00
Trabalho escrito 75,00
Trabalho prático ou de projeto 15,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 30,00
Frequência das aulas 40,00
Trabalho escrito 30,00
Total: 100,00

Eligibility for exams

Attendance of 75% of the practical classes, presentationof a written report (75%) of the work done in the practical classes, and oral team presentation (10%) of a small scientific individually written work (15%).

Calculation formula of final grade

The final grade of the discipline of Molecular Bioinformatics I consists on the sum of:

- the grade obtained in the labs and the corresponding report made by the student, individually, with no more than 7500 words (75% of the final grade);

- the grade obtained in an individual written work, in the form of an article, on virtual screening, with no more than 2500 words (15% of the final grade);

- the grade obtained in a team oral presentation, on virtual screening (10% of the final grade).

Classification improvement

Oral session on the theory given during the course and the practical work carried out during the course.
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