cod. 1006068

Academic year 2022/23
2° year of course - First semester
Academic discipline
Biologia molecolare (BIO/11)
Discipline biologiche
Type of training activity
52 hours
of face-to-face activities
6 credits
hub: PARMA
course unit

Learning objectives

Students are expected to acquire a good knowledge of methods for biological sequence analysis and of query sequence and domain databases, and a good familiarity with public databases and software for analysis and results visualization

Through guided exercises, students will gain the basic skills necessary to face the study of new biological sequences, hypothesizing their function, evolutionary history, structure and localization.

Students will also acquire basic information and specific application examples on one of the most advanced fields of post-genomic research, with special reference to the new frontiers of molecular pharmacology and toxicology, “systems biology” and other modern applications of biotechnology to drug discovery.


Students should have a solid background in Biochemistry and Molecular Biology

Course unit content

The course is developed on two principal and complementary topics: bioinformatics and chemogenomics. The main topics are: the search in biological databases using different tools, the analysis of biological sequences and the interpretation of data coming from high-throughput experiments (transcriptomic or genomic phenotyping)

Full programme

1. Biological sequences and databases.
2. Substitution matrices and alignment scores.
3. Local and global pairwise alignments.
4. Methods for query sequences in databases.
5. Oligonucleotides design for real-time PCR application.
6. Multiple alignments of protein sequences and their use for functional and structural inference.
7. Creating patterns and profiles from multiple alignments. Query in profiles, domains and motifs databases.
8. Predictions of protein biochemical-structural features. Prediction of intracellular localization. Hydropathy plots and topology of membrane proteins.
9. Molecular evolution, phylogeny.
10. The characteristics of databases of pathways, networks and gene onoltogy and their interrogation
11. Goals and fields of application of chemogenomics
12. Chemogenomics applied to “drug discovery”, “target/mode of action identification” and “drug validation”
13. Chemogenomics based transcriptomics, proteomics and phenomics.
14. Chemogenomic technologies in the yeast S. cerevisiae: microarrays and the “compendium” approach; yeast two hybrid and its variants; the yeast gene deletion mutant collections
15. “Genomic phenotyping” of small molecule drugs (or toxicants) in yeast and use of interactomics databases and of specific software for data analysis
16. Query of chemotranscriptomic databases for the identification of gene-phenotype-drug-target-pathology relationships.
17. New drugs and bioactive compounds of biomolecular origin: nucleic and peptide aptamers, PROteolysis TArgeting Chimera (PROTAC).


Manuela Helmer Citterich , Fabrizio Ferrè, Giulio Graziano Pesole, Chiara Romualdi, Ed. Zanichelli

Support textbook:
Manuela-ATTIMONELLI Marcella-PESOLE Graziano, Ed. Zanichelli

Specialized articles, slides and presentations of specialists and companies, available to the students in electronic format

Teaching methods

Usually, the course is organized in lectures that provide a theoretical basis, flanked with exercises in computer classroom for learning the use of software for analysis and visualization of the results.
The course will be held in the presence with live streaming. Recorded lessons will be available to students throughout the semester. Computer exercises will be carried out online.
In addition to the textbooks, students will have access to recorded lectures, the slides used in class and scientific articles made available by the teacher.

Assessment methods and criteria

The assessment of learning outcomes is based on an oral examination, which will be conducted in the form of presentation of results obtained during exercises, and integrated with questions about the theoretical background. During the examination, the knowledge of the theoretical basis, the understanding of the exercises, and the ability to apply knowledge and to interpret results will be evaluated.

Other information