تفاصيل الوثيقة

نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
 
لغة الوثيقة : الانجليزية 
المستخلص : Protein phosphorylation is a posttranslational modification (PTM or PTLM), where a phosphoryl group is added to the residue(s) of a protein molecule. The most commonly phosphorylated amino acids occur at serine (S), threonine (T), and tyrosine (Y). Protein phosphorylation plays a significant role in a wide range of cellular processes; meanwhile its dysregulation is also involved with many diseases. Therefore, from the angles of both basic research and drug development, we are facing a challenging problem: for an uncharacterized protein sequence containing many residues of S, T, or Y, which ones can be phosphorylated, and which ones cannot? To address this problem, we have developed a predictor called iPhos-PseEn by fusing four different pseudo component approaches (amino acids’ disorder scores, nearest neighbor scores, occurrence frequencies, and position weights) into an ensemble classifier via a voting system. Rigorous cross-validations indicated that the proposed predictor remarkably outperformed its existing counterparts. For the convenience of most experimental scientists, a user-friendly web-server for iPhos- PseEn has been established at http://www.jci-bioinfo.cn/iPhos-PseEn, by which users can easily obtain their desired results without the need to go through the complicated mathematical equations involved. 
ردمد : 2732-3404 
اسم الدورية : Oncotarget 
المجلد : 7 
العدد : 32 
سنة النشر : 1437 هـ
2016 م
 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Wednesday, July 12, 2017 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Wang-Ren QiuQiu, Wang-Ren باحثدكتوراه 
Xuan XiaoXiao, Xuan باحثدكتوراه 
Zhao-Chun XuXu, Zhao-Chun باحثدكتوراه 
Kuo-Chen ChouChou, Kuo-Chen باحثدكتوراه 

الملفات

اسم الملفالنوعالوصف
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