NDLI: An image-matching approach to protein similarity analysis

Content Provider	IEEE Xplore Digital Library
Author	Fernandes Jr., F. Lopes, C.E.R. de Melo, R.C. Santoro, M.M. Carceroni, R.L. Meira Jr., W. Araujo, A.A. Silveira, C.H.
Copyright Year	2004
Description	Author affiliation: Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil (Fernandes, F., Jr.; Lopes, C.E.R.; de Melo, R.C.; Santoro, M.M.; Carceroni, R.L.; Meira, W., Jr.; Araujo, A.A.; Silveira, C.H.)
Abstract	In this work we model the problem of identifying how close structurally two proteins are as a problem of measuring the similarity between color images that represent their contact maps, where the chromatic information encodes the chemical nature of the contacts. We study two conceptually distinct methods to measure the similarity between such contact maps: a content-based image retrieval one and another based on image registration. In experiments with contact maps constructed from the Protein Data Bank (PDB), the image registration approach was able to identify with 100% precision 8 instances of a protein class mixed with 28 proteins of other classes. The content-based image retrieval approach had an accuracy only a little worse than that.
Starting Page	17
Ending Page	24
File Size	675388
Page Count	8
File Format	PDF
ISBN	0769522270
ISSN	15301834
DOI	10.1109/SIBGRA.2004.1352938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-20
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Image analysis Amino acids Chemicals Bioinformatics Image retrieval Image registration Image databases Content based retrieval Humans
Content Type	Text
Resource Type	Article

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