Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics (Wiley Series in Bioinformatics) - Hardcover

Über die Autorin bzw. den Autor

YI PAN, PHD, is the Chair and Full Professor in the Department of Computer Science at Georgia State University, and a Visiting Chair Professor in the School of Information Science and Engineering at Central South University in Changsha, China.

MIN LI, PHD, is Associate Professor in the School of Information Science and Engineering and a postdoctoral associate in the State Key Laboratory of Medical Genetics at Central South University in Changsha, China.

JIANXIN WANG, PHD, is Associate Dean and Full Professor in the School of Information Science and Engineering at Central South University in Changsha, China.

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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.

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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.