Practical Chemoinformatics by Muthukumarasamy KarthikeyanPractical Chemoinformatics by Muthukumarasamy Karthikeyan

Practical Chemoinformatics

byMuthukumarasamy Karthikeyan, Renu Vyas

Hardcover | May 19, 2014

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Chemoinformatics is equipped to impact our life in a big way mainly in the fields of chemical, medical and material sciences. This book is a product of several years of experience and passion for the subject written in a simple lucid style to attract the interest of the student community who wish to master chemoinformatics as a career. The topics chosen cover the entire spectrum of chemoinformatics activities (methods, data and tools). The algorithms, open source databases, tutorials supporting theory using standard datasets, guidelines, questions and do it yourself exercises will make it valuable to the academic research community. At the same time every chapter devotes a section on development of new software tools relevant for the growing pharmaceutical, fine chemicals and life sciences industry. The book is intended to assist beginners to hone their skills and also constitute an interesting reading for the experts.

Muthukumarasamy Karthikeyan obtained his Bachelors and Masters Degree in Chemistry from Pondicherry University and Ph.D. (Chemistry) from National Chemical Laboratory (University of Pune) in the area of Organic Synthesis. He began his career as a scientist in Armament Research Development Establishment (Ministry of Defence, DRDO) Pune ...
Title:Practical ChemoinformaticsFormat:HardcoverDimensions:533 pagesPublished:May 19, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:8132217799

ISBN - 13:9788132217794

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Table of Contents

Open Source Tools, Techniques and Data in Chemoinformatics.- Chemoinformatics Approach for the Design and Screening of focused virtual libraries.- Machine Learning Methods in Chemoinformatics for Drug Discovery.- Docking and pharmacophore modeling for virtual screening.- Active site directed pose prediction programs for efficient filtering of molecules.- Representation, fingerprinting and modeling of chemical reactions.- Predictive methods for Organic Spectral data Simulation.- Chemical Text mining for Lead Discovery.- Integration of Automated Work flow in Chemoinformatics for drug discovery.- Cloud computing Infrastructure development for Chemoinformatics.