Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € GLS courier 4.99 € DPD courier 4.49 € DPD point 3.49 €

Contact

How to shop

Help

My account

▸ Empty :-(

Introduction to Chemoinformatics

Name: Introduction to Chemoinformatics
Brand: Springer-Verlag New York Inc.
SKU: 01417367
Price: 84.69 EUR
Availability: InStock
Author: Andrew R. Leach
ISBN: 9781402062902

Andrew R. Leach

Valerie J. Gillet

Language

English

Book Paperback

Libristo code: 01417367

Publishers Springer-Verlag New York Inc., September 2007

Chemoinformatics draws upon techniques from many disciplines including computer science, mathematics... Full description

Libristo code: 01417367

207 b

Top

84.69 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

Up to 30 days for returns

Customers also purchased

Cheminformatics with Python Livia Arden

Paperback

32.49 €

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Chris Albon

Paperback

56.99 €

q-RASAR Kunal Roy

Paperback

51.09 €

Practical Chemoinformatics Muthukumarasamy Karthikeyan

Paperback

51.09 €

Machine Learning with PyTorch and Scikit-Learn Sebastian Raschka

Paperback

51.59 €

Essential Math for Data Science Thomas Nield

Paperback

47.19 €

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurelien Geron

Paperback

63.99 €

Una solitudine troppo rumorosa Bohumil Hrabal

Paperback

18.39 €

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.