Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment

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Description

Cheminformatic Modelling and Data Gap Filling for a Green and Sustainable Environment

covers the theory and practices of chemical informatics, focusing on modelling various properties and endpoints related to chemicals for improved chemical management and the design of safer chemicals to promote environmental sustainability.

Across four sections, this book outlines modelling techniques such as quantitative structure-property relationship (QSPR), read-across, and machine learning for modelling environmental endpoints of chemicals.

OECD guidelines are discussed and considered for model development and validation, documentation using QSAR modelling reporting format (QMRF), and regulatory requirements for result presentation.

This book offers full datasets, algorithm information and real-world case studies for all models and worked examples.

This book will serve as an essential resource for chemists and environmental scientists working in green and sustainable chemistry, as well as students and academics at graduate level and above studying cheminformatics.

This book will also be of interests for researchers working on developing new and sustainable chemicals and decision makers looking to make industrial processes more sustainable.

Details
  • ISBN: 9780443364747
Sold By: Prior Books Total Items: 86171
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