{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T22:58:39Z","timestamp":1773010719582,"version":"3.50.1"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,2,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Our aim is to develop a process that automatically defines a repertory of contiguous 3D protein structure fragments and can be used in homology modeling. We present here improvements to the method we introduced previously: the \u2018hybrid protein model\u2019 (de Brevern and Hazout, Theor. Chem. Acc., 106, 36\u201347, (2001)) The hybrid protein learns a non-redundant databank encoded in a structural alphabet composed of 16 Protein Blocks (PBs; de Brevern et al., Proteins, 41, 271\u2013287, (2000)). Every local fold is learned by looking for the most similar pattern present in the hybrid protein and modifying it slightly. Finally each position corresponds to a cluster of similar 3D local folds.<\/jats:p>\n               <jats:p>Results: In this paper, we describe improvements to our method for building an optimal hybrid protein: (i) \u2018baby training,\u2019 which is defined as the introduction of large structure fragments and the progressive reduction in the size of training fragments; and (ii) the deletion of the redundant parts of the hybrid protein. This repertory of contiguous 3D protein structure fragments should be a useful tool for molecular modeling<\/jats:p>\n               <jats:p>Contact: debrevern@urbb.jussieu.fr<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btf859","type":"journal-article","created":{"date-parts":[[2003,2,12]],"date-time":"2003-02-12T19:58:00Z","timestamp":1045079880000},"page":"345-353","source":"Crossref","is-referenced-by-count":36,"title":["\u2018Hybrid Protein Model\u2019 for optimally defining 3D protein structure fragments"],"prefix":"10.1093","volume":"19","author":[{"given":"A.G.","family":"de Brevern","sequence":"first","affiliation":[{"name":"Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM U436, Universit\u00e9 Paris 7, case 7113, 2, place Jussieu, 75251 Paris cedex 05, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Hazout","sequence":"additional","affiliation":[{"name":"Equipe de Bioinformatique G\u00e9nomique et Mol\u00e9culaire, INSERM U436, Universit\u00e9 Paris 7, case 7113, 2, place Jussieu, 75251 Paris cedex 05, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2003,2,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/3\/345\/48903728\/bioinformatics_19_3_345.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/3\/345\/48903728\/bioinformatics_19_3_345.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T15:31:57Z","timestamp":1674660717000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/3\/345\/258023"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,2,12]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2003,2,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btf859","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,2,12]]},"published":{"date-parts":[[2003,2,12]]}}}