Computational Approaches in Cheminformatics and Bioinformatics (PDF)

A breakthrough guide employing knowledge that unites
cheminformatics and bioinformatics as innovation for the future

Bridging the gap between cheminformatics and bioinformatics for
the first time, Computational Approaches in Cheminformatics and
Bioinformatics provides insight on how to blend these two sciences
for progressive research benefits. It describes the development and
evolution of these fields, how chemical information may be used for
biological relations and vice versa, the implications of these new
connections, and foreseeable developments in the future.

Using algorithms and domains as workflow tools, this
revolutionary text drives bioinformaticians to consider chemical
structure, and similarly, encourages cheminformaticians to consider
large biological systems such as protein targets and networks.

Computational Approaches in Cheminformatics and Bioinformatics
covers:

* Data sources available for modelling and prediction purposes

* Developments of conventional Quantitative Structure-Activity
Relationships (QSAR)

* Computational tools for manipulating chemical and biological
data

* Novel ways of probing the interactions between small molecules
and proteins

Also including insight from public (NIH), academic, and
industrial sources (Novartis, Pfizer), this book offers expert
knowledge to aid scientists through industry and academic study.
The invaluable applications for drug discovery, cellular and
molecular biology, enzymology, and metabolism make Computational
Approaches in Cheminformatics and Bioinformatics the essential
guidebook for evolving drug discovery research and alleviating the
issue of chemical control and manipulation of various systems.