1. <scp>QSARINS</scp> ‐Chem standalone version: A new platform‐independent software to profile chemicals for physico‐chemical properties, fate, and toxicity
- Author
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Paola Gramatica, Linda Bertato, Ester Papa, Nicola Chirico, Alessandro Sangion, and Ilaria Casartelli
- Subjects
Hazard (logic) ,Computer science ,Quantitative Structure-Activity Relationship ,010402 general chemistry ,01 natural sciences ,alternatives to animal testing ,Software ,0103 physical sciences ,Animals ,Organic Chemicals ,Profiling (computer programming) ,Virtual screening ,Platform independent ,Molecular Structure ,010304 chemical physics ,QSAR ,business.industry ,Organic chemicals ,Suite ,Fishes ,General Chemistry ,virtual screening ,0104 chemical sciences ,Computational Mathematics ,Software Note ,in silico predictions ,QSARINS ,Software engineering ,business - Abstract
The new software QSARINS‐Chem standalone version is a multiplatform tool, freely downloadable, for the in silico profiling of multiple properties and activities of organic chemicals. This software, which is based on the concept of the QSARINS‐chem module embedded in the QSARINS software, has been fully redesigned and redeveloped in the Java™ language. In addition to a selection of models included in the old module, the new software predicts biotransformation rates and aquatic toxicities of pharmaceuticals and personal care products in multiple organisms, and offers a suite of tools for the analysis of predictions. Furthermore, a comprehensive and transparent database of molecular structures is provided. The new QSARINS‐Chem standalone version is an informative and solid tool, which is useful to support the assessment of the potential hazard and risks related to organic chemicals and is dedicated to users which are interested in the application of QSARs to generate reliable predictions., The new software QSARINS‐Chem standalone version is a multiplatform tool to predict multiple endpoints for heterogeneous chemicals, including contaminants of emerging environmental concern and pharmaceuticals. The software allows for the analysis of the reliability of predictions in the applicability domain of the models, and is a valid support for decision making in chemical risk assessment procedures.
- Published
- 2021
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