An Introduction To Chemoinformatics

Leach, Andrew R.; Gillet, Valerie J.

ISBN 10: 1402062907 / ISBN 13: 9781402062902

Edité par Springer-Verlag New York Inc., 2007

This book aims to provide an introduction to the major techniques of chemoinformatics. It is the first text written specifically for this field. Simple illustrative examples are used to illustrate key concepts, supplemented with case studies from the literature. Num Pages: 255 pages, biography. BIC Classification: PDN; PN. Category: (UU) Undergraduate. Dimension: 235 x 155 x 15. Weight in Grams: 421. . 2007. 1st ed. 2003. 2nd printing 2007. Paperback. . . . . N° de réf. du vendeur V9781402062902

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.

Détails bibliographiques

Titre : An Introduction To Chemoinformatics
Éditeur : Springer-Verlag New York Inc.
Date d'édition : 2007
Reliure : Couverture souple
Etat : New
Edition : Edition originale