{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T12:08:14Z","timestamp":1775909294642,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Sequence-derived structural and physiochemical features have been frequently used for analysing and predicting structural, functional, expression and interaction profiles of proteins and peptides. To facilitate extensive studies of proteins and peptides, we developed a freely available, open source python package called protein in python (propy) for calculating the widely used structural and physicochemical features of proteins and peptides from amino acid sequence. It computes five feature groups composed of 13 features, including amino acid composition, dipeptide composition, tripeptide composition, normalized Moreau\u2013Broto autocorrelation, Moran autocorrelation, Geary autocorrelation, sequence-order-coupling number, quasi-sequence-order descriptors, composition, transition and distribution of various structural and physicochemical properties and two types of pseudo amino acid composition (PseAAC) descriptors. These features could be generally regarded as different Chou\u2019s PseAAC modes. In addition, it can also easily compute the previous descriptors based on user-defined properties, which are automatically available from the AAindex database.<\/jats:p>\n               <jats:p>Availability: The python package, propy, is freely available via http:\/\/code.google.com\/p\/protpy\/downloads\/list, and it runs on Linux and MS-Windows.<\/jats:p>\n               <jats:p>Contact: \u00a0yizeng_liang@263.net<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt072","type":"journal-article","created":{"date-parts":[[2013,2,21]],"date-time":"2013-02-21T03:22:10Z","timestamp":1361416930000},"page":"960-962","source":"Crossref","is-referenced-by-count":421,"title":["propy: a tool to generate various modes of Chou\u2019s PseAAC"],"prefix":"10.1093","volume":"29","author":[{"given":"Dong-Sheng","family":"Cao","sequence":"first","affiliation":[{"name":"1 Research Center of Modernization of Traditional Chinese Medicines, Central South University, and 2School of Mathematics and Statistics, Central South University, Changsha 410083, People\u2019s Republic of China"}]},{"given":"Qing-Song","family":"Xu","sequence":"additional","affiliation":[{"name":"1 Research Center of Modernization of Traditional Chinese Medicines, Central South University, and 2School of Mathematics and Statistics, Central South University, Changsha 410083, People\u2019s Republic of China"}]},{"given":"Yi-Zeng","family":"Liang","sequence":"additional","affiliation":[{"name":"1 Research Center of Modernization of Traditional Chinese Medicines, Central South University, and 2School of Mathematics and Statistics, Central South University, Changsha 410083, People\u2019s Republic of China"}]}],"member":"286","published-online":{"date-parts":[[2013,2,19]]},"reference":[{"key":"2023020303310253700_btt072-B1","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/nprot.2007.494","article-title":"Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms","volume":"3","author":"Chou","year":"2008","journal-title":"Nat. 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