Books  Animal & General Biology  Biochemistry & Molecular Biology 

Artificial Intelligence and Molecular Biology

Edited By: L Hunter

470 pages, Figs

MIT Press

Paperback | May 1993 | #38638 | ISBN: 0262581159
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NHBS Price: £34.95 $48/€40 approx

About this book

These original contributions provide a current sampling of AI approaches to problems of biological significance. Topics include: genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems.


1. Molecular Biology for Computer Scientists, Lawrence Hunter. 2. The Computational Linguistics of Biological Sequences, David B. Searls. 3. Neural Networks, Adaptive Optimisation, and RNA Secondary Structure Prediction, Evan W Steeg. 4. Predicting Protein Structural Features With Artificial Neural Networks, Stephen R. Holbrook, et al; 5. Developing Hierarchical Representations for Protein Structures: An Incremental Approach, Xiru Zhang and David Waltz. 6. Integrating AI with Sequence Analysis, Richard H. Lathrop, et al. 7. Planning to Learn about Protein Structure, Lawrence Hunter. 8. A Qualitative Biochemistry and its Application to the Regulation of the Tryptophan Operon, Peter D. Karp. 9. Identification of Qualitatively Feasible Metabolic Pathways, Michael L Mavrovouniotis. 10. Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways, Adam R. Galper, et al. 11. An AI Approach to the Interpretation of the NMR Spectra of Proteins, Peter Edwards, et al. 12. Molecular Scene Analysis: Crystal Structure Determination Through Imagery, Janice I. Glasgow, et al. Afterword: The Anti-Expert System-Thirteen Hypotheses an AI Program Should Have Seen Through, Joshua Lederberg.

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Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.

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