EMBL-EBI Workshop: Mathematics of life workshop: “Modelling molecular mechanisms: from basic science to drug discovery”
Date: 2 October 2019 @ 09:00 - 17:00
This workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions
Computer models are increasingly used by researchers as well as pharmaceutical industry to investigate molecular mechanisms disease initiation, progression and therapy. Systems modelling of biochemical pathways deregulated in disease condition offers mechanistic insights into the pathology; helps to elucidate mechanisms behind dug action and predict dose required for treatment and thereby greatly facilitates fundamental research and drug discovery. Such modelling requires background in both molecular biology and mathematics. This workshop will train postdocs from life science and mathematics to communicate and work together to learn to build and analyse computational models using user-friendly open source software. Participant will explore selected computational models from a recent publication, freely available in BioModels repository (www.ebi.ac.uk/biomodels/).
The one-day workshop includes scientific talks from 3 distinguished speakers who will showcase how modelling is useful in fundamental research as well as pharmaceutical industry, a tutorial session on modelling of normal and disease pathways using simulation software, COPASI, and an extended afternoon hands-on training workshop / group project. Prior knowledge on systems biology modelling not essential.
This course is free to attend and funded by the Office of Postdoctoral Affairs, University of Cambridge.
Contact: Rahuman Sheriff - [email protected]
Venue: , Sanders Hall, Postdoc Centre @ Eddington - 105 Eddington Place
Region: Cambridge
Country: United Kingdom
Postcode: CB3 1AS
Organizer: European Bioinformatics Institute (EBI)
Target audience: The workshop is open to postdocs in Cambridge, including candidates from University and affiliated institutions
Capacity: 20
Event types:
- Workshops and courses
Scientific topics: Mathematical model
Activity log