Predicting Protein Secondary Structure Using Stochastic Tree Grammars

• 1 January 1997
• journal article
• Published by Springer Nature in Machine Learning
• Vol. 29  (2/3) , 275-301
• https://doi.org/10.1023/a:1007477814995

Abstract

Keywords

• STOCHASTIC TREE GRAMMARS
• PROTEIN SECONDARY STRUCTURE PREDICTION
• BETA-SHEETS
• MAXIMUM LIKELIHOOD ESTIMATION
• MINIMUM DESCRIPTION LENGTH PRINCIPLE
• UNSUPERVISED LEARNING