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However, these methods do not exploit collective aspects of the protein space and the computed scores are often noisy and frequently fail to recognize distantly related protein families.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>We describe an algorithm that improves over the state of the art in homology detection by utilizing global information on the proximity of entities in the protein space. Our method relies on a vectorial representation of proteins and protein families and uses structure-specific association measures between proteins and template structures to form a high-dimensional feature vector for each query protein. These vectors are then processed and transformed to sparse feature vectors that are treated as statistical fingerprints of the query proteins. The new representation induces a new metric between proteins measured by the statistical difference between their corresponding probability distributions.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Using several performance measures we show that the new tool considerably improves the performance in recognizing distant homologies compared to existing approaches such as PSIBLAST and FUGUE.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/1471-2105-6-282","type":"journal-article","created":{"date-parts":[[2005,11,30]],"date-time":"2005-11-30T07:14:09Z","timestamp":1133334849000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["The distance-profile representation and its application to detection of distantly related protein families"],"prefix":"10.1186","volume":"6","author":[{"given":"Chin-Jen","family":"Ku","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Golan","family":"Yona","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2005,11,29]]},"reference":[{"key":"606_CR1","unstructured":"Biozon Database Release 2.0[http:\/\/biozon.org\/]"},{"key":"606_CR2","first-page":"325","volume":"13","author":"WR Pearson","year":"1997","unstructured":"Pearson WR: Identifying distantly related protein sequences. 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