This book presents contributions from distance-based approches to the generation of detailed 3-dimensional structures of proteins. Insights into protein folding obtained by traditional X-ray, crystallography, circular dicroism and ultra-violet methods are reviewed and new methods incorporating distance-based energy functions may be used for identifying and building protein folds. A section describes the use of neural networks and knowledge-based approaches in determination of fold-class predictions and protein secondary structures.