DOI: 10.3390/ijms27219787 ISSN: 1422-0067

AlvaQSAR: A Web-Based Platform for Molecular Prediction of Environmental and Toxicological Endpoints Aligned with OECD Principles

Andrea Mauri, Matteo Bertola

AlvaQSAR is a web platform for quantitative structure-activity/property relationship (QSAR/QSPR) prediction designed to support rapid molecular screening together with the transparency needed for scientific and regulatory use. The platform combines browser-based molecular input, endpoint selection, prediction, applicability-domain evaluation, and downloadable reporting within a compact workflow, while relying on the Alvascience software ecosystem for molecular standardization, descriptor calculation, and model execution. In version 1.2, the platform provides access to nine models covering environmental fate, bioaccumulation, aquatic toxicity, and human toxicity endpoints, and complements predictions with supporting information such as molecular properties, model documentation, prediction report, and QSAR Model Reporting Format (QMRF) files to address key OECD-oriented expectations on defined endpoints, unambiguous algorithms, validation, and applicability-domain assessment. It aims to facilitate practical use of QSAR models for early screening, communication, and regulatory assessment.

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