By Topic

Inductive protein structure analysis (IPSA)

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Schulze-Kremer, S. ; Brainware GmbH, Berlin, West Germany

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

Published in:

Symbols Versus Neurons, IEE Colloquium on

Date of Conference:

1 Oct 1990