{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T18:28:55Z","timestamp":1783103335229,"version":"3.54.6"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2016,8,26]],"date-time":"2016-08-26T00:00:00Z","timestamp":1472169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>The reduced amino acids perform powerful ability for both simplifying protein complexity and identifying functional conserved regions. However, dealing with different protein problems may need different kinds of cluster methods. Encouraged by the success of pseudo-amino acid composition algorithm, we developed a freely available web server, called PseKRAAC (the pseudo K-tuple reduced amino acids composition). By implementing reduced amino acid alphabets, the protein complexity can be significantly simplified, which leads to decrease chance of overfitting, lower computational handicap and reduce information redundancy. PseKRAAC delivers more capability for protein research by incorporating three crucial parameters that describes protein composition. Users can easily generate many different modes of PseKRAAC tailored to their needs by selecting various reduced amino acids alphabets and other characteristic parameters. It is anticipated that the PseKRAAC web server will become a very useful tool in computational proteomics and protein sequence analysis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and Implementation<\/jats:title>\n                  <jats:p>Freely available on the web at http:\/\/bigdata.imu.edu.cn\/psekraac<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btw564","type":"journal-article","created":{"date-parts":[[2016,8,27]],"date-time":"2016-08-27T02:08:48Z","timestamp":1472263728000},"page":"122-124","source":"Crossref","is-referenced-by-count":141,"title":["PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino acids composition"],"prefix":"10.1093","volume":"33","author":[{"given":"Yongchun","family":"Zuo","sequence":"first","affiliation":[{"name":"The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of Life Sciences, Inner Mongolia University, Hohhot, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Li","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of Life Sciences, Inner Mongolia University, Hohhot, China"},{"name":"Department of Mechanical Engineering, Columbia University, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingli","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Physical Science and Technology, Inner Mongolia University, Hohhot, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangpeng","family":"Li","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of Life Sciences, Inner Mongolia University, Hohhot, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenhe","family":"Yan","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of Life Sciences, Inner Mongolia University, Hohhot, China"},{"name":"School of Physical Science and Technology, Inner Mongolia University, Hohhot, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2016,8,26]]},"reference":[{"key":"2023020204203143200_btw564-B1","doi-asserted-by":"crossref","first-page":"960","DOI":"10.1093\/bioinformatics\/btt072","article-title":"propy: a tool to generate various modes of Chou's PseAAC","volume":"29","author":"Cao","year":"2013","journal-title":"Bioinformatics (Oxford, England)"},{"key":"2023020204203143200_btw564-B2","doi-asserted-by":"crossref","first-page":"2620","DOI":"10.1039\/C5MB00155B","article-title":"Pseudo nucleotide composition or PseKNC: an effective formulation for analyzing genomic sequences","volume":"11","author":"Chen","year":"2015","journal-title":"Mol. bioSyst"},{"key":"2023020204203143200_btw564-B3","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1002\/prot.1035","article-title":"Prediction of protein cellular attributes using pseudo-amino acid composition","volume":"43","author":"Chou","year":"2001","journal-title":"Proteins"},{"key":"2023020204203143200_btw564-B4","first-page":"10","article-title":"Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes","volume":"21","author":"Chou","year":"2005","journal-title":"Bioinformatics (Oxford, England)"},{"key":"2023020204203143200_btw564-B5","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ab.2012.03.015","article-title":"PseAAC-Builder: a cross-platform stand-alone program for generating various special Chou's pseudo-amino acid compositions","volume":"425","author":"Du","year":"2012","journal-title":"Anal. 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