Nano-QSAR Model for Predicting Cell Viability of Human Embryonic Kidney Cells.

Methods Mol Biol

Department of Environmental Health Sciences, Laboratory of Environmental Chemistry and Toxicology, IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Via La Masa 19, Milan, 20156, Italy.

Published: February 2018

Traditional Quantitative Structure-Activity Relationships (QSAR) models based on molecular descriptors as translators of chemical information show some drawbacks in predicting toxicity of nanomaterials due to their unique properties and to their nonhomogeneous structure.This chapter provides instructions on how to use CORAL, freely available software for building nano-QSAR models. CORAL makes use of descriptors based on "quasi-SMILES" representing physicochemical features and/or experimental conditions as an alternative to traditional SMILES encoding chemical structure to build up predictive nano-QSAR models for cytotoxicity.

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http://dx.doi.org/10.1007/978-1-4939-6960-9_22DOI Listing

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