{"title":"人工智能工具pSumo-CD如何预测蛋白质的sumo化位点","authors":"K. Chou","doi":"10.47363/JBBR/2020(2)102","DOIUrl":null,"url":null,"abstract":"In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting sumoylation sites in proteins, one of the most important post modifications in proteins [1]. Step 1: Opening the web-server at http://www.jci-bioinfo.cn/pSumo-CD, you will see the top page of pSumo-CD on your computer screen, as shown in (Figure 1). Click on the Read Me button to see a brief introduction about this predictor.","PeriodicalId":219036,"journal":{"name":"Journal of Biotechnology & Bioinformatics Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"How the Artificial Intelligence Tool pSumo-CD is Working for Predicting Sumoylation Sites in Proteins\",\"authors\":\"K. Chou\",\"doi\":\"10.47363/JBBR/2020(2)102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting sumoylation sites in proteins, one of the most important post modifications in proteins [1]. Step 1: Opening the web-server at http://www.jci-bioinfo.cn/pSumo-CD, you will see the top page of pSumo-CD on your computer screen, as shown in (Figure 1). Click on the Read Me button to see a brief introduction about this predictor.\",\"PeriodicalId\":219036,\"journal\":{\"name\":\"Journal of Biotechnology & Bioinformatics Research\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Biotechnology & Bioinformatics Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47363/JBBR/2020(2)102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biotechnology & Bioinformatics Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47363/JBBR/2020(2)102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How the Artificial Intelligence Tool pSumo-CD is Working for Predicting Sumoylation Sites in Proteins
In 2016 a very powerful AI (artificial intelligence) tool has been established for predicting sumoylation sites in proteins, one of the most important post modifications in proteins [1]. Step 1: Opening the web-server at http://www.jci-bioinfo.cn/pSumo-CD, you will see the top page of pSumo-CD on your computer screen, as shown in (Figure 1). Click on the Read Me button to see a brief introduction about this predictor.
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