Knowledge-Based Expert Systems in Chemistry: Not Counting on Computers

Overview

This is currently the only book available on the development of knowledge-based, and related, expert systems in chemistry and toxicology. Written by a pioneer in the field, it shows how computers can work with qualitative information where precise numerical methods are not satisfactory. An underlying theme is the current concern in society about the conflicts between basing decisions on reasoned judgements and wanting precise decisions and measurable effectiveness. As well as explaining how the computer programs ...

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Overview

This is currently the only book available on the development of knowledge-based, and related, expert systems in chemistry and toxicology. Written by a pioneer in the field, it shows how computers can work with qualitative information where precise numerical methods are not satisfactory. An underlying theme is the current concern in society about the conflicts between basing decisions on reasoned judgements and wanting precise decisions and measurable effectiveness. As well as explaining how the computer programs work, the book provides insights into how personal and political factors influence scientific progress. The introduction of regulations such as REACH in Europe and modifications to UN and OECD Guidelines on assessment of chemical hazard mean that the use of toxicity prediction is at a turning point. They put a heavy burden on the chemical industry but, for the first time, allow for the use of computer prediction to support or replace in vivo and in vitro experiments. There is increasing recognition among scientists and regulators that qualitative computer methods have much to offer and that in some circumstances they may be more reliable and informative than quantitative methods. This excellent introduction to a field where employment opportunities are growing is aimed at students, scientists and academics with a knowledge of chemistry.

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Editorial Reviews

From the Publisher

Intelligent Design

Knowledge-Based Expert Systems in Chemistry (not counting on computers)

Philip Judson

RSC Publishing, Cambridge, UK, 2009, 211pp (HB) ISBN 9780854041602

Reviewed by Susan Boyd

This is the first book in the RSC Theoretical and computational chemistry series and itself is a pioneer in the sense that it appears to be the only book to date devoted to the development of knowledge-based expert systems in chemistry and toxicology.

The book, by its own admission, is aimed at practising computational and theoretical chemists, and students of these subjects. At first glance, I expected quite a dry textbook, but I was very pleasantly surprised as I meandered through the first couple of chapters. In fact, alongside the scientific detail, the book provides an engaging history of not only knowledge-based systems in chemistry, but also of the wider context of chemoinformatics, describing the key individuals instrumental in defining the science we now regard as standard, and some of the companies and products they created. Fascinating for those of us keen to explore the roots of our discipline.

The subject matter ranges from defining artificial intelligence through to illustrating the use of rule-based systems by currently evolving software tools, thoroughly describing the fundamentals of computational structure representation and searching algorithms on the way.

The book's publication is very timely, given the introduction of the Reach (registration, evaluation, authorisation, and restriction of chemicals) legislation which requires more information on chemical degradants than previously, and the Organisation for Economic Cooperation and Development recommendations on chemical hazard assessment, which promote replacement of some in vitro tests by in silico methods. Knowledge-based systems will surely have a role to play in these areas in future.

All in all this is a very readable text, useful both for teaching purposes and as a reference for the practising scientist. And it makes interesting reading for the would-be scientific historian too!

Chemistry World, 2010, 7(3), p. 63

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Product Details

Meet the Author

Philip Judson studied chemistry at the University of Manchester before working on the synthesis of novel herbicides and fungicides for Fisons. When computing started being used in chemistry he made a change of career which later led to his becoming Head of Chemical Information and Computing for Schering AG. He was one of the founders of Lhasa Limited, a not-for-profit company specialising in knowledge-based expert systems in chemistry including the widely-used Derek for Windows system for predicting chemical toxicity. His research interests centre on the use of non-numerical reasoning methods for computer prediction of chemical toxicity, metabolism, and degradation. He developed and maintains software for chemical hazard classification and material safety data sheet management which are supplied by his company, Lexeus Limited.

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Table of Contents

Introduction Knowledge-Based Approach to Synthesis Planning EROS and CAMEO Spin-off from the Harvard project Structure, sub-structure and super-structure searching - technical Structure representations Explicit and implicit hydrogen atoms Aromaticity, tautomerism, stereochemistry Predicting toxicity - DEREK PHARM-MATCH and TOX-MATCH, Oncologic, and HazardExpert TopKat and Multicase The 2D/2.5D/3D debate Using reasoning - Derek for Windows Predicting metabolism - Meteor Relative reasoning Biodegradation Other potential applications Consensus modelling Evaluation and Validation Conclusions/Where now?

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