Algorithmic and Artificial Intelligence Methods for Protein
Bioinformatics
An in-depth look at the latest research, methods, and applications in
the field of protein bioinformatics
This book presents the latest developments in protein bioinformatics,
introducing for the first time cutting-edge research results alongside
novel algorithmic and AI methods for the analysis of protein data. In
one complete, self-contained volume, Algorithmic and Artificial
Intelligence Methods for Protein Bioinformatics addresses key
challenges facing both computer scientists and biologists, arming
readers with tools and techniques for analyzing and interpreting protein
data and solving a variety of biological problems.
Featuring a collection of authoritative articles by leaders in the
field, this work focuses on the analysis of protein sequences,
structures, and interaction networks using both traditional algorithms
and AI methods. It also examines, in great detail, data preparation,
simulation, experiments, evaluation methods, and applications.
Algorithmic and Artificial Intelligence Methods for Protein
Bioinformatics:
- Highlights protein analysis applications such as protein-related drug
activity comparison
- Incorporates salient case studies illustrating how to apply the
methods outlined in the book
- Tackles the complex relationship between proteins from a systems
biology point of view
- Relates the topic to other emerging technologies such as data mining
and visualization
- Includes many tables and illustrations demonstrating concepts and
performance figures
Algorithmic and Artificial Intelligence Methods for Protein
Bioinformatics is an essential reference for bioinformatics specialists
in research and industry, and for anyone wishing to better understand
the rich field of protein bioinformatics.
