{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T23:34:49Z","timestamp":1769297689593,"version":"3.49.0"},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Bioinform. Comput. Biol."],"published-print":{"date-parts":[[2012,4]]},"abstract":"<jats:p> The description of a protein fold is a hard problem due to significant variability of main structural units, \u03b2-sheets and \u03b1-helixes, and their mutual arrangements. An adequate description of the structural units is an important step in objective protein structure classification, which to date is based on expert judgment in a number of cases. Explicit determination and description of structural units is more complicated for \u03b2-sheets than for \u03b1-helixes due to \u03b2-sheets variability both in composition and geometry. We have developed an algorithm that can significantly modify \u03b2-sheets detected by commonly used DSSP and Stride algorithms and represent the result as a \u201c\u03b2-sheet map,\u201d a table describing certain \u03b2-sheet features. In our approach, \u03b2-sheets (rather than \u03b2-strands) are considered as holistic objects. Both hydrogen bonds and geometrical restrains are explored for the determination of \u03b2-sheets. The algorithm is implemented in SheeP program. It was tested for prediction architectures of domains from 93 well-defined all-\u03b2 and \u03b1\/\u03b2 SCOP protein domain families, and showed 93% of correct results. The Web-service http:\/\/mouse.belozersky.msu.ru\/sheep allows to detect \u03b2-sheets in a given protein structure, visualize \u03b2-sheet maps, as well as input three-dimensional structures with highlighted \u03b2-sheets and their structural features. <\/jats:p>","DOI":"10.1142\/s021972001241003x","type":"journal-article","created":{"date-parts":[[2012,1,13]],"date-time":"2012-01-13T08:57:41Z","timestamp":1326445061000},"page":"1241003","source":"Crossref","is-referenced-by-count":4,"title":["SHEEP: A TOOL FOR DESCRIPTION OF \u03b2-SHEETS IN PROTEIN 3D STRUCTURES"],"prefix":"10.1142","volume":"10","author":[{"given":"EVGENIY","family":"AKSIANOV","sequence":"first","affiliation":[{"name":"Belozersky Institute of Physico-Chemical Biology, Moscow State University, Leninskie Gory 1-40, Moscow 119991, Russia"}]},{"given":"ANDREI","family":"ALEXEEVSKI","sequence":"additional","affiliation":[{"name":"Department of Bioengineering and Bioinformatics &amp; Belozersky Institute of Physico-Chemical, Biology, Moscow State University, Leninskie Gory 1-37 &amp; 1-40, Moscow 119991, Russia"},{"name":"Scientific Research Institute for System Studies (NIISI RAN), Moscow, Russia"}]}],"member":"219","published-online":{"date-parts":[[2012,4,30]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1093\/protein\/13.6.407"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.biophys.26.1.597"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1002\/prot.340080303"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1002\/bip.360221211"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1002\/prot.340230412"},{"key":"rf6","first-page":"536","volume":"247","author":"Murzin A. G.","journal-title":"J. Mol. Biol."},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1002\/pro.5560021004"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1093\/acref\/9780198529170.001.0001"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-6-202"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6807-5-17"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1093\/protein\/10.12.1373"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-0004(00)89080-5"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-74"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1016\/S0969-2126(97)00260-8"}],"container-title":["Journal of Bioinformatics and Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S021972001241003X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T17:38:20Z","timestamp":1565113100000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S021972001241003X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4]]},"references-count":14,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,4,30]]},"published-print":{"date-parts":[[2012,4]]}},"alternative-id":["10.1142\/S021972001241003X"],"URL":"https:\/\/doi.org\/10.1142\/s021972001241003x","relation":{},"ISSN":["0219-7200","1757-6334"],"issn-type":[{"value":"0219-7200","type":"print"},{"value":"1757-6334","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,4]]}}}