Titlebook: QSPR/QSAR Analysis Using SMILES and Quasi-SMILES; Alla P. Toropova,Andrey A. Toropov Book 2023 The Editor(s) (if applicable) and The Autho

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Quasi-SMILES-Based QSPR/QSAR Modeling different substances, considering that the physicochemical property/biological activity of a new or untested substance can be inferred from the molecular structure or other properties of similar compounds whose properties/activities have already been assessed. Traditional QSPR/QSAR models based on

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Quasi-SMILES-Based Mathematical Model for the Prediction of Percolation Threshold for Conductive Poltrix. Since the polymer matrix acts as an insulator, when a threshold filler level is achieved, the conductivity of these composites can exhibit a sharp increase. The common term generally used to describe such phenomena is called ‘percolation’. As the conductive filler content increases in the insu

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Quasi-SMILES as a Tool for Peptide QSAR Modellinges, etc. The peptide is very righteous alternative for small molecules and biological therapeutics. Different modelling approaches can be applied to accelerate the design of different peptides-based molecules. Simplified molecular input line entry system (SMILES) is a sequence of symbols which is us

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SMILES and Quasi-SMILES Descriptors in QSAR/QSPR Modeling of Diverse Materials Properties in Safety rdous characteristics of diverse materials, is given. Studies of several properties of importance to safety and environment application are described including (i) the cytotoxicity of heterogeneous single metal oxide-based engineered nanoparticles, (ii) the cytotoxicity of a series of metal oxide na