1st Edition
by Yi Pan (Editor), Jianxin Wang (Editor), Min Li (Editor)
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.
