At the 2019 annual meeting of the European Environmental Mutagen and Genomics Society a workshop session related to the use of read across concepts in toxicology was held. The goal of this session was to provide the audience an overview of general read-across concepts. From ECHA’s read across assessment framework, the starting point is chemical similarity. There are several approaches and algorithms available for calculating chemical similarity based on molecular descriptors, distance/similarity measures and weighting schemata for specific endpoints. Therefore, algorithms that adapt themselves to the data (endpoint/s) and provide a good ability to distinguish between structural similar and not similar molecules regarding specific endpoints ...
The European LIFE project CALEIDOS succeeded in providing practical information on QSAR models and r...
Background: Safety assessment for repeated dose toxicity is one of the largest challenges in the pr...
Traditional read-across approaches typically rely on the chemical similarity principle to predict ch...
Read-across, i.e., filling toxicological data gaps by relating to similar chemicals for which test d...
AbstractCategory formation, grouping and read across methods are broadly applicable in toxicological...
Read-across, i.e. filling toxicological data gaps by relating to similar chemicals, for which test d...
Read-across is one of the most frequently used alternative tools for hazard assessment, in particula...
The definition, characterisation and assessment of the similarity between target and source molecule...
Grouping of substances and utilizing read-across of data within those groups represents an important...
Computational approaches are increasingly used to predict toxicity due, in part, to pressures to fin...
Computational approaches are increasingly used to predict toxicity, in part due to pressures to find...
Category formation, grouping and read across methods are broadly applicable in toxicological assessm...
Read-across is a popular data gap filling technique used within analogue and category approaches for...
Modern information technologies have made big data available in safety sciences, i.e., extremely lar...
A series of case studies designed to further acceptance of read-across predictions, especially for c...
The European LIFE project CALEIDOS succeeded in providing practical information on QSAR models and r...
Background: Safety assessment for repeated dose toxicity is one of the largest challenges in the pr...
Traditional read-across approaches typically rely on the chemical similarity principle to predict ch...
Read-across, i.e., filling toxicological data gaps by relating to similar chemicals for which test d...
AbstractCategory formation, grouping and read across methods are broadly applicable in toxicological...
Read-across, i.e. filling toxicological data gaps by relating to similar chemicals, for which test d...
Read-across is one of the most frequently used alternative tools for hazard assessment, in particula...
The definition, characterisation and assessment of the similarity between target and source molecule...
Grouping of substances and utilizing read-across of data within those groups represents an important...
Computational approaches are increasingly used to predict toxicity due, in part, to pressures to fin...
Computational approaches are increasingly used to predict toxicity, in part due to pressures to find...
Category formation, grouping and read across methods are broadly applicable in toxicological assessm...
Read-across is a popular data gap filling technique used within analogue and category approaches for...
Modern information technologies have made big data available in safety sciences, i.e., extremely lar...
A series of case studies designed to further acceptance of read-across predictions, especially for c...
The European LIFE project CALEIDOS succeeded in providing practical information on QSAR models and r...
Background: Safety assessment for repeated dose toxicity is one of the largest challenges in the pr...
Traditional read-across approaches typically rely on the chemical similarity principle to predict ch...