An Introduction to Chemoinformatics

Leach, Andrew R.

ISBN 10: 1402013477 / ISBN 13: 9781402013478

Edité par Kluwer Academic, 2003

A propos de cet article

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781402013478.

N° de réf. du vendeur 5956611

Détails bibliographiques

• Titre: An Introduction to Chemoinformatics
• Éditeur: Kluwer Academic
• Date de parution: 2003
• Langue: anglais
• ISBN à 10 chiffres: 1402013477
• ISBN à 13 chiffres: 9781402013478
• Reliure: Couverture rigide
• État de l'article: Good

A propos de ce titre

Synopsis

This, the first text written specifically for this field, aims to provide an introduction to the major techniques of chemoinformatics. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and the construction of mathematical models. The second part describes other important topics including molecular similarity and diversity, the analysis of large data sets, virtual screening, and library design. Simple illustrative examples are used throughout to illustrate key concepts, supplemented with case studies from the literature. The book is aimed at graduate students, final-year undergraduates, and professional scientists. No prior knowledge is assumed other than a familiarity with chemistry and some basic mathematical concepts.

Présentation de l'éditeur

Chemoinformatics draws upon techniques from many disciplines including computer science, mathematics, computational chemistry and data visualisation to tackle these problems. This, the first text written specifically for this field, aims to provide an introduction to the major techniques of chemoinformatics. The first part of the book deals with the representation of 2D and 3D molecular structures, the calculation of molecular descriptors and the construction of mathematical models. The second part describes other important topics including molecular similarity and diversity, the analysis of large data sets, virtual screening, and library design. Simple illustrative examples are used throughout to illustrate key concepts, supplemented with case studies from the literature. The book is aimed at graduate students, final-year undergraduates, and professional scientists. No prior knowledge is assumed other than a familiarity with chemistry and some basic mathematical concepts.