Computational Methods to Predict the Biological Effects of Additives used in Medical Applications

Educational level Third cycle (PhD students)

Alternatively, Second cycle (master)

Last day of application: March 15, 2018 (proposed)
Duration: Module: 7 days with 2 h lectures, 4 h laboratory works per day
Examination: Take-home assignment, presentation

Student should after the course understand and be able to discuss basic principles of chromatography and detectors used. The student should be able to choose the optimal separation parameters and predict the separation for a given problem.

 

Objectives: O1.Knowledge and use of computational concepts, principles, methods and techniques to investigate the properties of biologically active molecules.

O2.Developing abilities to use databases containing information about chemical compounds with biological activity.

O3.Correlation of information obtained through computational techniques with clinical data and  human physiology.

Who should attend: Postgraduate students.

Students should have taken all basic chemistry courses including organic chemistry, physical chemistry, inorganic chemistry, biochemistry and analytical chemistry.

Course Outline: Through classroom and laboratory instruction, the student will study the theory and practical aspects of key biotechnology methods essential for the study of DNA and protein. The student will integrate the theories and techniques acquired in previous courses with standard molecular biology techniques and apply these to the purification, analysis and manipulation of DNA and protein. The student will learn how these skills are applied in the development of commercial and research initiatives such as the development of transgenic organisms.

1. Physico-chemical properties used as descriptors for biological activity – 1 hour lecture, 1 hour applications

2. Rules underlying the prediction of ADME-Tox and the pharmacokinetics profiles of chemical compounds – 1 hour lecture, 1 hour applications

3. Databases for chemical compounds – 1 hour lecture, 1 hour applications

4. Computational methods used to predict ADME-Tox profiles of chemical compounds – 2 lecture hours, 2 hours applications

5. Computational methods used to predict the pharmacokinetics of chemical compounds – 2 lecture hours, 2 hours applications

6. Computational methods used to predict molecular targets and biological effects of chemical compounds – 2 lecture hours, 2 hours applications

7. Computational methods used to predict the effects of chemical compounds on the environment – 2 lecture hours, 2 hours applications

8. Databases on the toxicity of chemical compounds and clinical data on exposure to them. – 1 hour lecture, 1 hour applications

Course materials: All course materials will be based on lectures that will be available to the enrolled students via the e-learning platform
Certification: 7 ECTS will be awarded to the students that will pass the examination

Attendees will be awarded a certificate of attendance

Note: This is an open (public) course and may be subject to minimum numbers attending – recommended group size (minimum) 5 students

Advanced Environmental Research Laboratories / Laboratoarele de Cercetări Avansate de Mediu