نوع الوثيقة |
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مقال في مجلة دورية |
عنوان الوثيقة |
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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 |
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الانجليزية |
المستخلص |
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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 |
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2732-3404 |
اسم الدورية |
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Oncotarget |
المجلد |
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7 |
العدد |
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32 |
سنة النشر |
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1437 هـ
2016 م |
نوع المقالة |
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مقالة علمية |
تاريخ الاضافة على الموقع |
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Wednesday, July 12, 2017 |
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الباحثون
Wang-Ren Qiu | Qiu, Wang-Ren | باحث | دكتوراه | |
Xuan Xiao | Xiao, Xuan | باحث | دكتوراه | |
Zhao-Chun Xu | Xu, Zhao-Chun | باحث | دكتوراه | |
Kuo-Chen Chou | Chou, Kuo-Chen | باحث | دكتوراه | |
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