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Together with other tools in the popular PyMOL viewer, PyETV thus provides a novel tool to integrate evolutionary forces into the design of experiments targeting the most functionally relevant sites of a protein.<\/jats:p>\n               <jats:p>Availability: The PyETV module is written in Python. Installation instructions and video demonstrations may be found at the URL http:\/\/mammoth.bcm.tmc.edu\/traceview\/HelpDocs\/PyETVHelp\/pyInstructions.html.<\/jats:p>\n               <jats:p>Contact: \u00a0lichtarge@bcm.tmc.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq566","type":"journal-article","created":{"date-parts":[[2010,10,19]],"date-time":"2010-10-19T04:15:50Z","timestamp":1287461750000},"page":"2981-2982","source":"Crossref","is-referenced-by-count":52,"title":["PyETV: a PyMOL evolutionary trace viewer to analyze functional site predictions in protein complexes"],"prefix":"10.1093","volume":"26","author":[{"given":"Rhonald C.","family":"Lua","sequence":"first","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA"}]},{"given":"Olivier","family":"Lichtarge","sequence":"additional","affiliation":[{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA"}]}],"member":"286","published-online":{"date-parts":[[2010,10,6]]},"reference":[{"key":"2023012507523598600_B1","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1093\/nar\/28.1.235","article-title":"The Protein Data Bank","volume":"28","author":"Berman","year":"2000","journal-title":"Nucleic Acids Res."},{"key":"2023012507523598600_B2","volume-title":"The PyMOL Molecular Graphics System.","author":"DeLano","year":"2002"},{"key":"2023012507523598600_B3","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1016\/j.jmb.2009.12.037","article-title":"Evolutionary trace annotation of protein function in the structural proteome","volume":"396","author":"Erdin","year":"2010","journal-title":"J. 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