Course catalogue doctoral education - VT24

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Title Computational toxicology - methods and applications
Course number 3075
Programme X- Används inte längre - Miljöfaktorer och hälsa
Language English
Credits 1.5
Date 2018-11-19 -- 2018-11-23
Responsible KI department Institutet för miljömedicin
Specific entry requirements Basic knowledge in statistics.
Purpose of the course The purpose of the course is to build knowledge and understanding on how computational methods and tools can be used for modelling and/or prediction in toxicology and risk assessment of chemical substances.
Intended learning outcomes After the course, the students should:
-be able to describe what computational methods and tools are available and their proper areas of use,
-have some basic practical skills in using selected software,
-be able to describe how computational methods are applied within some relevant regulations, and
-be able to reflect on the strengths and limitations of using computational toxicology in research and regulatory risk assessment.
Contents of the course Computational, or in silico, toxicology, is a discipline that is focused on developing and using computer-based models to better understand and predict adverse effects caused by substances such as e.g. pharmaceuticals, chemicals and environmental contaminants. During the course, students will learn about concepts such as read-across, quantitative structure-activity relationships, quantitative structure-property relationships, machine learning, molecular modeling. How to use computational methods for exposure and kinetics modelling will also be covered, as will regulatory guidelines relevant for this discipline. The utility of computational toxicology in various settings (such as in the REACH regulation, and in drug discovery and development) will be discussed. The students will get familiar with selected (mostly freely available) software that are used in computational toxicology.
Teaching and learning activities The course includes lectures, computer demonstrations and group assignments with computer exercises.
Compulsory elements Participation in demonstrations and group assignments are compulsory. Absence can be compensated by individual task(s).
Examination Examination is in the form of an oral presentation in groups and a written exam.
Literature and other teaching material Scientific articles, book chapters and regulatory guidelines.
Number of students 8 - 20
Selection of students Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date)
More information
Additional course leader Course directors: Annika Hanberg, Institute of Environmental Medicine (IMM), Karolinska Institutet and Charlotte Nilsson, Swetox.
Latest course evaluation Not available
Course responsible Annika Hanberg
Institutet för miljömedicin
08-52487526
Annika.Hanberg@ki.se
Contact person Charlotte Nilsson
Institutet för miljömedicin

charlotte.nilsson@ki.se


Johanna Bergman
Institutet för miljömedicin

johanna.bergman@ki.se

Nobels väg 13

17177
Stockholm