Predicting secondary structures of proteins

Jacek Błażewicz; Peter L. Hammer; Piotr Łukasiak

doi:10.1109/MEMB.2005.1436465

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Title

Predicting secondary structures of proteins

Authors

Jacek Błażewicz ^{[ 1 ][ P ]}
Peter L. Hammer
Piotr Łukasiak ^{[ 1 ][ P ]}

^{[ 1 ]} Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2005

Published in

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE

Journal year: 2005 | Journal volume: vol. 24 | Journal number: iss. 3

Article type

scientific article

Publication language

english

Abstract

EN The article presents the application of a new machine-learning algorithm for the prediction of secondary structures of proteins. The logical analysis of data (LAD) algorithm was applied to recognize which amino acids properties could be analyzed to deliver additional information, independent from protein homology, useful in determining the secondary structure of a protein. The study showed that to get better results, LAD should be used as a first stage of analysis in combination with another method that is able to take into account a more detailed understanding of the physical chemistry of proteins and amino acids.

Pages (from - to)

88 - 94

DOI

10.1109/MEMB.2005.1436465

URL

https://ieeexplore.ieee.org/document/1436465

Impact Factor

1,232

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