Overview
- Overviews the simplifying molecular input-line entry system (SMILES)
- Presents a fresh extending of space for model design
- Features contributions from leading experts in the field
Part of the book series: Challenges and Advances in Computational Chemistry and Physics (COCH, volume 33)
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About this book
This contributed volume overviews recently presented approaches for carrying out QSPR/QSAR analysis by using a simplifying molecular input-line entry system (SMILES) to represent the molecular structure. In contrast to traditional SMILES, quasi-SMILES is a sequence of special symbols-codes that reflect molecular features and codes of experimental conditions. SMILES and quasi-SMILES serve as a basis to develop QSPR/QSAR as well Nano-QSPR/QSAR via the Monte Carlo calculation that provides the so-called optimal descriptors for QSPR/QSAR models. The book presents a reliable technology for developing Nano-QSPR/QSAR while it also includes the description of the algorithms of the Monte Carlo optimization. It discusses the theory and practice of the technique of variational authodecoders (VAEs) based on SMILES and analyses in detail the index of ideality of correlation (IIC) and the correlation intensity index (CII) which are new criteria for the predictive potential of the model. The mathematical apparatus used is simple so that students of relevant specializations can easily follow. This volume is a valuable contribution to the field and will be of great interest to developers of models of physicochemical properties and biological activity, chemical technologists, and toxicologists involved in the area of drug design.
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Table of contents (17 chapters)
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Front Matter
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SMILES for QSPR/QSAR with Optimal Descriptors
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Front Matter
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Quasi-SMILES for QSPR/QSAR
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Front Matter
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Possible Ways of Nano-QSPR/Nano-QSAR Evolution
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Front Matter
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Editors and Affiliations
About the editors
Alla P. Toropova is a researcher from Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy. Her main direction of research activity is establishing quantitative structure-property/activity relationships (QSPRs/QSARs) for inorganic and metalorganic compounds. She has published about 280 papers in international journals dedicated to QSPR/QSAR analysis. She took part in the development and evolution of so-called optimal descriptors that were calculated with a simplified molecular input-line entry system (SMILES). In addition, she collaborated on developing a new approach to the QSPR/QSAR analysis based on so-called quasi-SMILES. She is the website developer(http://www.insilico.eu/coral) for the CORAL software that implements conceptions of the Monte Carlo optimization of optimal descriptors calculated with SMILES and quasi-SMILES.
Andrey A. Toropov is a researcher from Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy. His research activity is dedicated to quantitative structure-property/activity relationships (QSPRs/QSARs). He is co-author of about 360 papers in international journals devoted to QSPR/QSAR analysis. He is the developer of CORAL software that is applied to building up QSPR/QSAR models for different endpoints. His current activity is dedicated to developing the system of quasi-SMILES as input data for the CORAL software (http://www.insilico.eu/coral). It can become a new approach for building up QSPR/QSAR for polymers, peptides, and nanomaterials.
Andrey A. Toropov is a researcher from Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy. His research activity is dedicated to quantitative structure-property/activity relationships (QSPRs/QSARs). He is co-author of about 360 papers in international journals devoted to QSPR/QSAR analysis. He is the developer of CORAL software that is applied to building up QSPR/QSAR models for different endpoints. His current activity is dedicated to developing the system of quasi-SMILES as input data for the CORAL software (http://www.insilico.eu/coral). It can become a new approach for building up QSPR/QSAR for polymers, peptides, and nanomaterials.
Bibliographic Information
Book Title: QSPR/QSAR Analysis Using SMILES and Quasi-SMILES
Editors: Alla P. Toropova, Andrey A. Toropov
Series Title: Challenges and Advances in Computational Chemistry and Physics
DOI: https://doi.org/10.1007/978-3-031-28401-4
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-28400-7Published: 11 June 2023
Softcover ISBN: 978-3-031-28403-8Published: 11 June 2024
eBook ISBN: 978-3-031-28401-4Published: 10 June 2023
Series ISSN: 2542-4491
Series E-ISSN: 2542-4483
Edition Number: 1
Number of Pages: XVIII, 467
Number of Illustrations: 32 b/w illustrations, 51 illustrations in colour
Topics: Computer Applications in Chemistry, Quantum Physics, Theoretical and Computational Chemistry, Mathematical Logic and Foundations