QSARINS-Chem standalone version : A new platform-independent software to profile chemicals for physico-chemical properties, fate, and toxicity

© 2021 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 42(2021), 20 vom: 30. Juli, Seite 1452-1460
1. Verfasser: Chirico, Nicola (VerfasserIn)
Weitere Verfasser: Sangion, Alessandro, Gramatica, Paola, Bertato, Linda, Casartelli, Ilaria, Papa, Ester
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't QSAR QSARINS alternatives to animal testing in silico predictions virtual screening Organic Chemicals
Beschreibung
Zusammenfassung:© 2021 The Authors. Journal of Computational Chemistry published by Wiley Periodicals LLC.
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
Beschreibung:Date Completed 10.01.2022
Date Revised 02.04.2024
published: Print-Electronic
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.26551