{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:29:27Z","timestamp":1774265367670,"version":"3.50.1"},"reference-count":108,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2017,11,2]],"date-time":"2017-11-02T00:00:00Z","timestamp":1509580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31560316, 61261027, 61262038, 61202313 and 31260273"],"award-info":[{"award-number":["31560316, 61261027, 61262038, 61202313 and 31260273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61271114"],"award-info":[{"award-number":["61271114"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61203325"],"award-info":[{"award-number":["61203325"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>For in-depth understanding the functions of proteins in a cell, the knowledge of their subcellular localization is indispensable. The current study is focused on human protein subcellular location prediction based on the sequence information alone. Although considerable efforts have been made in this regard, the problem is far from being solved yet. Most existing methods can be used to deal with single-location proteins only. Actually, proteins with multi-locations may have some special biological functions that are particularly important for both basic research and drug design.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Using the multi-label theory, we present a new predictor called \u2018pLoc-mHum\u2019 by extracting the crucial GO (Gene Ontology) information into the general PseAAC (Pseudo Amino Acid Composition). Rigorous cross-validations on a same stringent benchmark dataset have indicated that the proposed pLoc-mHum predictor is remarkably superior to iLoc-Hum, the state-of-the-art method in predicting the human protein subcellular localization.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>To maximize the convenience of most experimental scientists, a user-friendly web-server for the new predictor has been established at http:\/\/www.jci-bioinfo.cn\/pLoc-mHum\/, by which users can easily get their desired results without the need to go through the complicated mathematics involved.<\/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\/btx711","type":"journal-article","created":{"date-parts":[[2017,11,1]],"date-time":"2017-11-01T04:15:29Z","timestamp":1509509729000},"page":"1448-1456","source":"Crossref","is-referenced-by-count":127,"title":["pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information"],"prefix":"10.1093","volume":"34","author":[{"given":"Xiang","family":"Cheng","sequence":"first","affiliation":[{"name":"Computer Science, Jingdezhen Ceramic Institute, Jingdezhen, China"},{"name":"Computational Biology, Gordon Life Science Institute, Boston, MA, USA"}]},{"given":"Xuan","family":"Xiao","sequence":"additional","affiliation":[{"name":"Computer Science, Jingdezhen Ceramic Institute, Jingdezhen, China"},{"name":"Computational Biology, Gordon Life Science Institute, Boston, MA, USA"}]},{"given":"Kuo-Chen","family":"Chou","sequence":"additional","affiliation":[{"name":"Computer Science, Jingdezhen Ceramic Institute, Jingdezhen, China"},{"name":"Computational Biology, Gordon Life Science Institute, Boston, MA, USA"},{"name":"Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China"}]}],"member":"286","published-online":{"date-parts":[[2017,11,2]]},"reference":[{"key":"2023012713022289300_btx711-B1","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.cmpb.2015.07.005","article-title":"Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC","volume":"122","author":"Ahmad","year":"2015","journal-title":"Comput. 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