THREE-DIMENSIONAL MODELING

Course objectives

The course aims to illustrate the main computational approaches used in Biology for analyzing complex regulatory circuits and elaborating simulation models. In this part of the course bioinformatic and computational approaches for data mining, meta-analysis and modelization will be introduced. The final goal is to give the student a preliminary view of possible applications of computational methods to Biology and Biomedicine.

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LIVIA PERFETTO Lecturers' profile

Program - Frequency - Exams

Course program
Program • Fundamentals of large-scale data analysis, and objectives in biology and biomedicine (0.25 CFU) • Major biological databases on biomolecules (0.25 CFU) • Methods of analysis independent of prior knowledge (0.25 CFU) • Application of major data mining techniques in biological and biomedical contexts (0.25 CFU) • Methods of analysis dependent on prior knowledge (0.25 CFU) • Enrichment methods (0.25 CFU) • Network biology (0.25 CFU) • Graph theory (0.25 CFU) • Major biological databases of protein interactions and signaling pathways (0.25 CFU) • Integration of multiomic data for signaling reconstruction (0.25 CFU) • Deep learning approaches for signaling reconstruction (0.25 CFU) • Multiomic data databases (0.25 CFU)
Prerequisites
Basic concepts of molecular biology
Books
To be defined
Frequency
Attendance is strongly recommended
Exam mode
Overall evaluation will include a final oral evaluation. During the tests, the following aspects will be taken into consideration: possession of the basic concepts of the discipline, the way of expressing oneself and the language used, which must be correct and appropriate.
Bibliography
To be defined
Lesson mode
The course is based on lectures. Virtual classes might be planned on emergency occasions. Lessons in class are interspersed with structured feedback moments.
  • Academic year2025/2026
  • CourseMathematical Sciences for Artificial Intelligence
  • CurriculumSingle curriculum
  • Year3rd year
  • Semester1st semester
  • SSDBIO/10
  • CFU3