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Accurate identification of antioxidant proteins has important implications for the development of new drugs and the treatment of related diseases, as they play a critical role in the control or prevention of cancer and aging-related conditions. Since experimental identification techniques are time-consuming and expensive, many computational methods have been proposed to identify antioxidant proteins. Although the accuracy of these methods is acceptable, there are still some challenges. In this study, we developed a computational model called ANPrAod to identify antioxidant proteins based on a support vector machine. In order to eliminate potential redundant features and improve prediction accuracy, 673 amino acid reduction alphabets were calculated by us to find the optimal feature representation scheme. The final model could produce an overall accuracy of 87.53% with the ROC of 0.7266 in five-fold cross-validation, which was better than the existing methods. The results of the independent dataset also demonstrated the excellent robustness and reliability of ANPrAod, which could be a promising tool for antioxidant protein identification and contribute to hypothesis-driven experimental design.<\/jats:p>","DOI":"10.1155\/2021\/5518209","type":"journal-article","created":{"date-parts":[[2021,4,8]],"date-time":"2021-04-08T21:09:34Z","timestamp":1617916174000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["ANPrAod: Identify Antioxidant Proteins by Fusing Amino Acid Clustering Strategy and <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                     <a:mi>N<\/a:mi>\n                  <\/a:math>-Peptide Combination"],"prefix":"10.1155","volume":"2021","author":[{"given":"Qilemuge","family":"Xi","sequence":"first","affiliation":[{"name":"State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liuxi","family":"Yi","sequence":"additional","affiliation":[{"name":"Agronomy College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010019, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuchao","family":"Liang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6631-2870","authenticated-orcid":true,"given":"Xiaoqing","family":"Zhao","sequence":"additional","affiliation":[{"name":"Biotechnology Research Centre, Inner Mongolia Academy of Agricultural and Animal Husbandry Science, Hohhot 010021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6065-7835","authenticated-orcid":true,"given":"Yongchun","family":"Zuo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010070, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.2147\/CIA.S158513"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmech.2015.04.040"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2018.01036"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.2174\/1574893614666190919150411"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2020.08.016"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2020.591487"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.3389\/fbioe.2019.00224"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1177\/1176934319867088"},{"issue":"2","key":"9","first-page":"186","article-title":"Identifying antioxidant proteins by using optimal dipeptide compositions","volume":"8","author":"P. 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