Computational prediction of O-linked glycosylation sites that preferentially map on intrinsically disordered regions of extracellular proteins.
Computational prediction of O-linked glycosylation sites that preferentially map on intrinsically disordered regions of extracellular proteins.
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DOI:
10.3390/ijms11124991
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发表时间:
2010
影响因子:
5.6
通讯作者:
Nishikawa K
中科院分区:
文献类型:
--
作者:
Nishikawa I;Nakajima Y;Ito M;Fukuchi S;Homma K;Nishikawa K
O-glycosylation of mammalian proteins is one of the important posttranslational modifications. We applied a support vector machine (SVM) to predict whether Ser or Thr is glycosylated, in order to elucidate the O-glycosylation mechanism. O-glycosylated sites were often found clustered along the sequence, whereas other sites were located sporadically. Therefore, we developed two types of SVMs for predicting clustered and isolated sites separately. We found that the amino acid composition was effective for predicting the clustered type, whereas the site-specific algorithm was effective for the isolated type. The highest prediction accuracy for the clustered type was 74%, while that for the isolated type was 79%. The existence frequency of amino acids around the O-glycosylation sites was different in the two types: namely, Pro, Val and Ala had high existence probabilities at each specific position relative to a glycosylation site, especially for the isolated type. Independent component analyses for the amino acid sequences around O-glycosylation sites showed the position-specific existences of the identified amino acids as independent components. The O-glycosylation sites were preferentially located within intrinsically disordered regions of extracellular proteins: particularly, more than 90% of the clustered O-GalNAc glycosylation sites were observed in intrinsically disordered regions. This feature could be the key for understanding the non-conservation property of O-glycosylation, and its role in functional diversity and structural stability.
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影响因子:
6.8
作者:
Dunker, A. Keith;Silman, Israel;Sussman, Joel L.
通讯作者:
Sussman, Joel L.
影响因子:
4.8
作者:
Bennett, EP;Hassan, H;Clausen, H
通讯作者:
Clausen, H
影响因子:
4.3
作者:
Julenius, K;Molgaard, A;Brunak, S
通讯作者:
Brunak, S
影响因子:
5.8
作者:
Ichikawa, Shoji;Guigonis, Vincent;Econs, Michael J.
通讯作者:
Econs, Michael J.
DOI:
10.1083/jcb.201003055
发表时间:
2010-05-31
期刊:
The Journal of cell biology
影响因子:
--
作者:
Gill DJ;Chia J;Senewiratne J;Bard F
通讯作者:
Bard F