Description
Artificial Intelligence and Molecular Biology, edited by Lawrence E. Hunter, is a comprehensive resource that delves into the intersection of artificial intelligence and the biological sciences. Published by AAAI Press in 1993, this book offers a detailed exploration of how AI can address complex problems in molecular biology. With 480 pages of content, it provides a foundational understanding for computer scientists interested in the biological domain.
Read More
The book is particularly relevant in the context of the Human Genome Project and other large-scale biological research initiatives, which have generated vast amounts of data. It presents original contributions that highlight AI's role in tackling biological challenges, focusing on novel technologies and approaches rather than established applications.
Key topics covered include genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and the simulation of biological systems. The book serves as a primer for computer scientists, offering sufficient background in molecular biology to understand the biological discussions within.
Lawrence E. Hunter, the editor, is a prominent figure in the field, serving as the Director of the Machine Learning Project at the National Library of Medicine and holding various academic positions. His expertise ensures that the book is both authoritative and insightful, making it a valuable resource for those interested in the convergence of AI and molecular biology.
- CategoryOther AI Tools
Book Details
Introduction to AI in molecular biology
Genetic sequence analysis
Protein structure prediction
Automated data analysis aids
Simulation of biological systems
Background in molecular biology for computer scientists
Contributions from leading experts
Focus on novel AI technologies
Who This Book Is For
- Genetic Analysis
- Protein Prediction
- Data Analysis
- Biological Simulation
- AI Research
