Description

Book Synopsis

QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation of the effector-receptor binding degree potential, including the logistic type by employing a computational algebraic quantitative structure-activity relationship (QSAR) model called SPECTRAL-SAR. It aims to minimize the residual recorded activities in the experiments that study the enzymic, ionic liquid, antagonists, and allosteric inhibition interactions.

The book covers:

  • The classic QSAR approach
  • The new SPECTRAL-SAR approach
  • How to draw SPECTRAL-SAR maps for predicting ecotoxicological mechanisms for a given series of toxicants and single or multi-species in an open system
  • Biological activity as related to chemical reactivity through associate descriptors

This book will be very useful in advanced courses on computational ecotoxicology, drug design and interaction, methods in quantum and computational chemistry, chemical molding, chemical bonding, and others.



Trade Review

”This monograph gathers, through a collection of original papers, the methodology and implementation of the newly QSAR method, built on algebraic means--the SPECTRAL-SAR, with toxicological applications for paradigmatic classes (including ionic liquids) of molecules and aquatic species. The book responds to the currents needs for in silico assessment of the mechanistic interpretation of the ligand-receptor interactions in open systems, especially where statistical analysis provides limited interpretation of the results. Overall, the volume may be regarded as a collection of advanced chapters in computational ecotoxicology equally valuable for graduate students and researchers working in the field of environmental sciences.”
--Prof. dr. Vasile Chiş, Faculty of Physics, Babeş-Bolyai University, Romania

“This innovative and well-written book, edited by Prof. Putz, largely expands the OECD QSAR Toolbox available online by introducing new powerful concepts, like the minimum spectral path principle, and new correlation factors to measure chemical–biological interactions. These algorithms constitute the SPECTRAL-SAR approach and achieve ‘spectacular computational results’ in all the studies presented in the book. The book is instrumental for university and chemical industry researchers in their daily jobs in filling gaps in ecotoxicity data needed for assessing the hazards of chemicals.”
--Dr. Ottorino Ori, Actinium Chemical Research, Rome, Italy



Table of Contents

SPECTRAL-SAR Algorithm and the Algebraic Correlation Factor. SPECTRAL-SAR Assesment on Ionic Liquids’ Toxicity. Quantum and Statistical Interpretation of SPECTRAL-SAR Method.

QSAR and SPECTRAL-SAR in Computational

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    A Hardback by Mihai V. Putz

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      View other formats and editions of QSAR and SPECTRAL-SAR in Computational by Mihai V. Putz

      Publisher: Apple Academic Press Inc.
      Publication Date: Publication Date: 19/07/2012
      ISBN13: 9781926895130, 978-1926895130
      ISBN10: 1926895134

      Description

      Book Synopsis

      QSAR and SPECTRAL-SAR in Computational Ecotoxicology presents a collection of studies based on the epistemological bulk data-information-knowledge of the chemicals used in green chemistry. It assesses a specific model of pattern characterization of concerned active substances at the bio-, eco-, and pharmacologic levels through unitary formulation of the effector-receptor binding degree potential, including the logistic type by employing a computational algebraic quantitative structure-activity relationship (QSAR) model called SPECTRAL-SAR. It aims to minimize the residual recorded activities in the experiments that study the enzymic, ionic liquid, antagonists, and allosteric inhibition interactions.

      The book covers:

      • The classic QSAR approach
      • The new SPECTRAL-SAR approach
      • How to draw SPECTRAL-SAR maps for predicting ecotoxicological mechanisms for a given series of toxicants and single or multi-species in an open system
      • Biological activity as related to chemical reactivity through associate descriptors

      This book will be very useful in advanced courses on computational ecotoxicology, drug design and interaction, methods in quantum and computational chemistry, chemical molding, chemical bonding, and others.



      Trade Review

      ”This monograph gathers, through a collection of original papers, the methodology and implementation of the newly QSAR method, built on algebraic means--the SPECTRAL-SAR, with toxicological applications for paradigmatic classes (including ionic liquids) of molecules and aquatic species. The book responds to the currents needs for in silico assessment of the mechanistic interpretation of the ligand-receptor interactions in open systems, especially where statistical analysis provides limited interpretation of the results. Overall, the volume may be regarded as a collection of advanced chapters in computational ecotoxicology equally valuable for graduate students and researchers working in the field of environmental sciences.”
      --Prof. dr. Vasile Chiş, Faculty of Physics, Babeş-Bolyai University, Romania

      “This innovative and well-written book, edited by Prof. Putz, largely expands the OECD QSAR Toolbox available online by introducing new powerful concepts, like the minimum spectral path principle, and new correlation factors to measure chemical–biological interactions. These algorithms constitute the SPECTRAL-SAR approach and achieve ‘spectacular computational results’ in all the studies presented in the book. The book is instrumental for university and chemical industry researchers in their daily jobs in filling gaps in ecotoxicity data needed for assessing the hazards of chemicals.”
      --Dr. Ottorino Ori, Actinium Chemical Research, Rome, Italy



      Table of Contents

      SPECTRAL-SAR Algorithm and the Algebraic Correlation Factor. SPECTRAL-SAR Assesment on Ionic Liquids’ Toxicity. Quantum and Statistical Interpretation of SPECTRAL-SAR Method.

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