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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/DbPxQ
Repositorysid.inpe.br/banon/2004/08.17.17.21
Last Update2004:08.17.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.17.17.21.14
Metadata Last Update2022:06.14.00.12.47 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352938
Citation KeyFernandesJúniorLMSCMAS:2004:ImApPr
TitleAn Image-Matching Approach to Protein Similarity Analysis
FormatOn-line
Year2004
Access Date2024, Apr. 29
Number of Files1
Size4301 KiB
2. Context
Author1 Fernandes Júnior, Fernando Antônio
2 Lopes, Carlos Eduardo Rodrigues
3 Melo, Raquel Cardoso
4 Santoro, Marcelo Matos
5 Carceroni, Rodrigo Lima
6 Meira Junior, Wagner
7 Araújo, Arnaldo de Albuquerque
8 Silveira, Carlos Henrique
Affiliation1 Universidade Federal de Minas Gerais - Departamento de Ciência da Computação
2 Universidade Federal de Minas Gerais - Departamento de Imunologia e Bioquímica
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Address{junior, dlopes, raquelcm, carceron, meira, arnaldo, silveira}@dcc.ufmg.br, santoro@icb.ufmg.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:57 :: dlopes -> banon ::
2008-08-26 15:15:44 :: banon -> administrator ::
2009-08-13 20:37:36 :: administrator -> banon ::
2010-08-28 20:01:15 :: banon -> administrator ::
2022-06-14 00:12:47 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscontent based image retrieval
image registration
protein analisys
contact maps
AbstractIn 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 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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > An Image-Matching Approach...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > An Image-Matching Approach...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/DbPxQ
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/DbPxQ
Languageen
Target File4458_fernandes_f.ps
User Groupdlopes
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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