Title :
Application of machine learning to protein structure prediction and drug design
Author :
Sternberg, M.J.E. ; Hirst, Jonathan D. ; Lewis, Richard A. ; King, Ross D. ; Srinivasan, Ashwin ; Muggleton, Stephen
Author_Institution :
Biomolecular Modelling Lab., Imperial Cancer Res. Fund., London, UK
fDate :
2/28/1994 12:00:00 AM
Abstract :
Machine learning, based on inductive-based logic programming (ILP), has been applied to three problems in bioinformatics. The first topic is the prediction of the local secondary structure of a protein from its sequence. The second is the derivation of rules governing protein β-sheet topology. Finally ILP is used to model quantitatively the structure-activity relationship of a series of drugs
Keywords :
biology computing; learning (artificial intelligence); logic programming; macromolecular configurations; molecular biophysics; proteins; bioinformatics; drug design; inductive-based logic programming; local secondary structure; machine learning; protein beta -sheet topology; protein conformation; protein structure prediction; structure-activity relationship;
Conference_Titel :
Molecular Bioinformatics, IEE Colloquium on
