Molecular Bioinformatics I

Code:

Q4088

Acronym:

Q4088

Level:

400

Keywords
Classification	Keyword
OFICIAL	Chemistry

Instance: 2022/2023 - 2S

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	3	The study plan from 2019/20	1	-	3	21	81

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 (%)
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	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 Molecular Bioinformatics I course consists of the sum of the theoretical and practical grades:



-Theoretical grade

The theoretical grade corresponds to 50% of the grade obtained in the final exam



-Practical grade

The practical grade corresponds to the continuous assessment (25% of the final grade) and report (25% of the final grade) of the research work carried out in the practical classes. Its total value is 50% of the final grade.

Classification improvement

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