@InProceedings{FernandesJúniorLMSCMAS:2004:ImApPr,
               author = "Fernandes J{\'u}nior, Fernando Ant{\^o}nio and Lopes, Carlos 
                         Eduardo Rodrigues and Melo, Raquel Cardoso and Santoro, Marcelo 
                         Matos and Carceroni, Rodrigo Lima and Meira Junior, Wagner and 
                         Ara{\'u}jo, Arnaldo de Albuquerque and Silveira, Carlos 
                         Henrique",
          affiliation = "{Universidade Federal de Minas Gerais - Departamento de 
                         Ci{\^e}ncia da Computa{\c{c}}{\~a}o} and {Universidade Federal 
                         de Minas Gerais - Departamento de Imunologia e 
                         Bioqu{\'{\i}}mica}",
                title = "An Image-Matching Approach to Protein Similarity Analysis",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "content based image retrieval, image registration, protein 
                         analisys, contact maps.",
             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 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.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352938",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352938",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/DbPxQ",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/DbPxQ",
           targetfile = "4458_fernandes_f.ps",
        urlaccessdate = "2024, Apr. 29"
}