Literature DB >> 28470534

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

Serena Manganelli1, Emilio Benfenati2.   

Abstract

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.

Entities:  

Keywords:  CORAL; Cell viability; Nano-QSAR; Nanoparticles; Quasi-SMILES

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Year:  2017        PMID: 28470534     DOI: 10.1007/978-1-4939-6960-9_22

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Decrypting Strong and Weak Single-Walled Carbon Nanotubes Interactions with Mitochondrial Voltage-Dependent Anion Channels Using Molecular Docking and Perturbation Theory.

Authors:  Michael González-Durruthy; Adriano V Werhli; Vinicius Seus; Karina S Machado; Alejandro Pazos; Cristian R Munteanu; Humberto González-Díaz; José M Monserrat
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

Review 2.  Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Molecules       Date:  2019-12-11       Impact factor: 4.411

  2 in total

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