DocumentCode :
280340
Title :
Inductive protein structure analysis (IPSA)
Author :
Schulze-Kremer, Steffen
Author_Institution :
Brainware GmbH, Berlin, West Germany
fYear :
1990
fDate :
33147
Firstpage :
42705
Lastpage :
42711
Abstract :
The current state of protein structure analysis and prediction methods shows three important points. First, classical methods of secondary structure prediction cannot solve the protein folding problem; secondly, a combination of classical method returns better results for the prediction of secondary structures than any one of the methods on its own; and thirdly, methods that try to incorporate the effects of long-range interactions produce a better set of results than comparable methods not using this information. This is the starting point and motivation for a new method of computer-assisted protein structure analysis. The name `Inductive Protein Structure Analysis (IPSA)´ indicates the crux of the method, which is the automated search for patterns and structural regularities at different levels of the structure of proteins. The concept of `induction´ generally describes the process by which a rule is derived from a set of examples
Keywords :
biocybernetics; proteins; IPSA; automated search; computer-assisted protein structure analysis; induction; prediction methods; protein folding; protein structure analysis;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Symbols Versus Neurons, IEE Colloquium on
Conference_Location :
London
Type :
conf
Filename :
190574
Link To Document :
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