lazar: a modular predictive toxicology framework
نویسندگان
چکیده
منابع مشابه
lazar: a modular predictive toxicology framework
lazar (lazy structure-activity relationships) is a modular framework for predictive toxicology. Similar to the read across procedure in toxicological risk assessment, lazar creates local QSAR (quantitative structure-activity relationship) models for each compound to be predicted. Model developers can choose between a large variety of algorithms for descriptor calculation and selection, chemical...
متن کاملConcepts of predictive toxicology
Currently, much effort is invested into the development of non-animal testing strategies to identify the potential of compounds However , it is also clear that in vitro systems represent valuable tools to study certain mechanisms and endpoints but do not reach the complexity of organs or organisms (Ghallab, 2013). Recently, Daston et al. (2014) published a concept, how future research on non-an...
متن کاملPredictive Systems Toxicology
In this review we address to what extent computational techniques can augment our ability to predict toxicity. The first section provides a brief history of empirical observations on toxicity dating back to the dawn of Sumerian civilization. Interestingly, the concept of dose emerged very early on, leading up to the modern emphasis on kinetic properties, which in turn encodes the insight that t...
متن کاملPredictive Toxicology using a Decision-tree Learner
This extended abstract outlines a submission to The Predictive Toxicology Challenge for 20002001 [PTC]. The Challenge is to obtain models that predict the outcome of biological tests for the toxicity of chemicals using information related to chemical structure only. The models reported here are based on the approach outlined in [BGCL00]. (Much more detail is given in [BGCL01].) In essence, the ...
متن کاملData governance in predictive toxicology: A review
BACKGROUND Due to recent advances in data storage and sharing for further data processing in predictive toxicology, there is an increasing need for flexible data representations, secure and consistent data curation and automated data quality checking. Toxicity prediction involves multidisciplinary data. There are hundreds of collections of chemical, biological and toxicological data that are wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Pharmacology
سال: 2013
ISSN: 1663-9812
DOI: 10.3389/fphar.2013.00038