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Molecular Bioinformatics I

Code: Q4088     Acronym: Q4088     Level: 400

Keywords
Classification Keyword
OFICIAL Chemistry

Instance: 2025/2026 - 2S Ícone do Moodle

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 6 Study plan since academic year 2025/2026 1 - 3 21 81

Teaching Staff - Responsibilities

Teacher Responsibility
Pedro Manuel Azevedo Alexandrino Fernandes

Teaching - Hours

Laboratory Practice: 1,62
Type Teacher Classes Hour
Laboratory Practice Totals 1 1,615
Pedro Miguel Teixeira Ferreira 0,307
António José Meireles Ribeiro 0,307
Pedro Manuel Azevedo Alexandrino Fernandes 1,00

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

João Marques Sousa, Matilde Ribeiro Viegas, Pedro Teixeira Ferreira, Pedro Coelho Paiva, Ana Luísa Oliveira, Pedro Alexandrino Fernandes, Maria João Ramos; Bioinformática Molecular- Conceitos Fundamentais, Faculdade de Ciências, Universidade do Porto, 2022
João Marques Sousa, Matilde Ribeiro Viegas, Pedro Teixeira Ferreira, Pedro Coelho Paiva, Ana Luísa Oliveira, Pedro Alexandrino Fernandes, Maria João Ramos; Bioinformática Molecular- Tutoriais, Faculdade de Ciências, Universidade do Porto, 2022

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 (%)
Trabalho prático ou de projeto 50,00
Exame 50,00
Total: 100,00

Amount of time allocated to each course unit

designation Time (hours)
Estudo autónomo 42,00
Frequência das aulas 21,00
Trabalho escrito 18,00
Total: 81,00

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 mark corresponds to the average of the mark obtained in the exam, the mark given in the practical classes, and the corresponding report made by the student.

The exam weight for the final mark is 50%. The student must get a minimum grade of 7 (out of 20) to be approved.

The practical classification will correspond to the mark obtained in a report concerning the work developed in the classroom during the semester, and its presentation and discussion. The weight of the practical classification to the final mark is 50%.

Classification improvement

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

Observations

The jura of the course unit is composed of the following faculty members:

Pedro Alexandrino Fernandes

André Sousa Melo

Alexandre Lopes Magalhães

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