title: MacMatch: a tool for pattern-based protein secondary structure prediction.
abstract: A program is described for predicting the secondary structure of globular proteins on an Apple Macintosh computer. MacMatch produces turn predictions using augmented regular expression pattern matching. Helix and strand predictions are based on a neural network. Protein structural class (alpha/alpha), beta/beta, alpha/beta can be exploited to improve secondary structure prediction. The program is simple to use, and the package includes sets of tested patterns and trained neural networks.
authors.affiliation: Department of Pharmaceutical Chemistry, University of California-San Francisco 94143-0446.
authors.forename: S R
authors.initials: SR
authors.lastname: Presnell
authors.forename: B I
authors.initials: BI
authors.lastname: Cohen
authors.forename: F E
authors.initials: FE
authors.lastname: Cohen
mesh_terms: D008838:Microcomputers; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D017433:Protein Structure, Secondary; D012984:Software