Artificial Intelligence and Molecular Biology (American Association for Artificial Intelligence) [Paperback]

Lawrence E. Hunter (Editor)

Book Description

Publication Date: March 18, 1993 | Series: American Association for Artificial Intelligence

The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.

Editorial Reviews

About the Author

These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence.

Product Details

• Paperback: 480 pages
• Publisher: AAAI Press; First edition (March 18, 1993)
• Language: English
• ISBN-10: 0262581159
• ISBN-13: 978-0262581158
• Product Dimensions: 8.8 x 6 x 1.1 inches
• Shipping Weight: 12.8 ounces (View shipping rates and policies)
• Amazon Best Sellers Rank: #3,683,672 in Books (See Top 100 in Books)

More About the Author

Dr. Lawrence Hunter is the Director of the Computational Bioscience Program and of the Center for Computational Pharmacology at the University of Colorado School of Medicine, and a Professor in the departments of Pharmacology, Computer Science (Boulder), and Preventive Medicine and Biometrics. He received his Ph.D. in computer science from Yale University in 1989, and then spent more than 10 years at the National Institutes of Health, ending as the Chief of the Molecular Statistics and Bioinformatics Section at the National Cancer Institute. He inaugurated two of the most important academic bioinformatics conferences, ISMB and PSB, and was the founding President of the International Society for Computational Biology. Dr. Hunter's research interests span a wide range of areas, from cognitive science to rational drug design. His primary focus recently has been the integration of natural language processing, knowledge representation and machine learning techniques and their application to interpreting data generated by high throughput molecular biology.