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Focused workshop on Simcyp use in drug discovery – registration deadline approaching
Date: 01 Jan 2012
In response to requests from consortium members, Simcyp has scheduled a series of 1-2 day workshops in 2012 covering in-depth some of the major topics in model-based drug development. We are now encouraging people to secure their place at our first event ‘Use of Simcyp in Drug Discovery’ which takes place on 8th – 9th February in Sheffield, UK.
The workshop focuses on using the dynamic models in the Simcyp Simulator to prioritise compounds based on data available in early drug discovery. Working through case studies, attendees will use the Simcyp Simulator to select compounds which should be progressed to the next stage. As more information becomes available during the exercise predictions will be refined allowing some compounds to be progressed to humans. Data from first-in-human studies will be compared with the simulations and any differences rationalised using parameter estimation.
The course is ideal for scientists working in DMPK drug discovery departments. To book your place please click here.
Other 1-2 day workshops scheduled for 2012 include:
Transporters 15th - 16th February 2012
The ABC of modelling drug transporter data: Mechanistic approaches to predict the impact of drug transport proteins on ADME/pharmacokinetics & toxicity
Paediatrics 14th - 15th March 2012
Predicting the age-related changes to pharmacokinetics and drug-drug interactions including associated variability: Linking this information to drug response in the paediatric population
Absorption 2nd - 3rd May 2012
Predicting oral drug bioavailability and its inter- individual variability: Interplay between formulation, drug permeability and metabolism using the Simcyp Advanced Dissolution, Absorption and Metabolism (ADAM) model
Parameter Estimation and Pharmacodynamics
29th - 30th May 2012
A systems pharmacology approach to modelling and simulation: Accelerating model building and covariate recognition in drug development by combining top-down and bottom-up modelling of pharmacokinetics linked to drug response