Artificial Intelligence & Molecular Biology

Foreward
Joshua Lederberg

Chapter 1 Molecular Biology for Computer Scientists
Lawrence Hunter

Chapter 2 The Computational Linguistics of Biological Sequences
David B. Searls

Chapter 3 Neural Networks, Adaptive Optimization, and RNA Secondary Structure Prediction
Evan W. Steeg

Chapter 4 Predicting Protein Structural Features With Artificial Neural Networks
Stephen R. Holbrook, Steven M. Muskal

Chapter 5 Developing Hierarchical Representations for Protein Structures: An Incremental Approach
Xiru Zhang & David Waltz

Chapter 6 Integrating AI with Sequence Analysis
Richard Lathrop, Teresa Webster, Randall Smith, Patrick Winston & Temple Smith

Chapter 7 Planning to Learn About Protein Structure
Lawrence Hunter

Chapter 8 A Qualitative Biochemistry and Its Application to the Regulation of the Tryptophan Operon
Peter D. Karp

Chapter 9 Identification of Qualitatively Feasible Metabolic Pathways
Michael L. Mavrovouniotis

Chapter 10 Knowledge-Based Simulation of DNA Metabolism: Prediction of Action and Envisionment of Pathways
Adam R. Galper, Douglas L. Brutlag & David H. Millis

Chapter 11 An AI Approach to the Interpretation of the NMR Spectra of Proteins
Peter Edwards, Derek Sleeman, Gordon C.K. Roberts & Lu Yun Lian

Chapter 12 Molecular Scene Analysis: Crystal Structure Determination Through Imagery
Janice I. Glasgow, Suzanne Fortier & Frank H. Allen