for ecotoxicology and ecology
dedicated website: http://openguts.info/
||University of York, UK (Dr.
DescriptionThe additional information and insight gained through the application of toxicokinetic-toxicodynamic (TKTD) modelling can strengthen the environmental risk assessment of chemicals in consumer products or plant protection products (PPPs). For the endpoint survival the most suitable and powerful tool is currently the General Unified Threshold model of Survival (GUTS), which consists of two complimentary models: GUTS-SD (stochastic death) and GUTS-IT (individual tolerance). GUTS has been submitted as part of the environmental risk assessment of PPPs, but it can also be used in the context of REACH. In order to ease the use of GUTS and increase trust and acceptability we recently released an extensive e-book (Jager & Ashauer, 2018) and carried out a ring-test of different implementations of GUTS (CEFIC-LRI ECO39).
The results from CEFIC-LRI ECO39 suggest that we need to develop a user-friendly, robust GUTS software that is open-source and freely available. None of the currently available software implementations fulfils these four essential criteria for uptake in the regulatory community (user-friendly, robust, open-source, freely available). Most implementations that are freely available (e.g., Matlab, R, Mathematica, Python) are not user-friendly because they require (basic) programming skills to use, and they are not robust in the sense that too many settings are open to user choice. Those implementations that have a user-friendly GUI (e.g., DELPHI, EasyGUTS) are owned by a company, and not freely downloadable (though EasyGUTS applies open source R scripts), which may impede uptake by regulators.
The software will be named openGUTS, and will follow the workflow as laid down in the 2018 EFSA Scientific Opinion on TKTD models for use in aquatic risk assessment of pesticides. However, the software can be applied for different purposes as well, including derivation of LCx,t values (for constant and time-varying exposure) and survival analysis for scientific purposes.
1. Develop a user-friendly, robust software for GUTS with basic functionality
2. Test and benchmark the GUTS software
3. Produce a basic user manual for the GUTS software
4. Make source-code and software freely available
Version 1 of the standalone for openGUTS was made available in December 2019 on the dedicated website: http://openguts.info/. The Matlab version that served as the prototype was already available in May 2019 from the same site.
My roleContribute to the objectives listed above, and developing a Matlab prototype. The coding of the software in C++ will be performed by Dr. Magnus Wang and colleagues (WSC Scientific GmbH).
Output: Software and documentation