| An Introduction to Chemoinformatics Revised Edition Contributor(s): Leach, Andrew R. (Author), Gillet, V. J. (Author) |
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ISBN: 1402062907 ISBN-13: 9781402062902 Publisher: Springer OUR PRICE: $94.99 Product Type: Paperback - Other Formats Published: September 2007 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Medical | Pharmacy - Science | Chemistry - Physical & Theoretical |
| Dewey: 615.190 |
| Physical Information: 0.6" H x 6.09" W x 9.26" (0.89 lbs) 255 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |