The utility of supertype clustering in prediction for class ii mhc-peptide binding | |
Shen, Wen-Jun1; Zhang, Xun1; Zhang, Shaohong2; Liu, Cheng1; Cui, Wenjuan3 | |
刊名 | Molecules |
2018-11-01 | |
卷号 | 23期号:11页码:18 |
关键词 | Class ii mhc Mhc-peptide binding Supertype Ensemble learning |
ISSN号 | 1420-3049 |
DOI | 10.3390/molecules23113034 |
通讯作者 | Shen, wen-jun(wjshen@stu.edu.cn) |
英文摘要 | Motivation: extensive efforts have been devoted to understanding the antigenic peptides binding to mhc class i and ii molecules since they play a fundamental role in controlling immune responses and due their involvement in vaccination, transplantation, and autoimmunity. the genes coding for the mhc molecules are highly polymorphic, and it is difficult to build computational models for mhc molecules with few know binders. on the other hand, previous studies demonstrated that some mhc molecules share overlapping peptide binding repertoires and attempted to group them into supertypes. herein, we present a framework of the utility of supertype clustering to gain more information about the data to improve the prediction accuracy of class ii mhc-peptide binding. results: we developed a new method, called supermhc, for class ii mhc-peptide binding prediction, including three mhc isotypes of hla-dr, hla-dp, and hla-dq, by using supertype clustering in conjunction with rls regression. the supertypes were identified by using a novel repertoire dissimilarity index to quantify the difference in mhc binding specificities. the supermhc method achieves the state-of-the-art performance and is demonstrated to predict binding affinities to a series of mhc molecules with few binders accurately. these results have implications for understanding receptor-ligand interactions involved in mhc-peptide binding. |
WOS关键词 | HLA-DR ; MICROARRAYS ; DATABASES ; DQA |
WOS研究方向 | Biochemistry & Molecular Biology ; Chemistry |
WOS类目 | Biochemistry & Molecular Biology ; Chemistry, Multidisciplinary |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000451641900306 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2374268 |
专题 | 计算机网络信息中心 |
通讯作者 | Shen, Wen-Jun |
作者单位 | 1.Shantou Univ, Coll Med, Dept Bioinformat, Shantou 515000, Peoples R China 2.Guangzhou Univ, Dept Comp Sci, Guangzhou 510000, Guangdong, Peoples R China 3.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, Wen-Jun,Zhang, Xun,Zhang, Shaohong,et al. The utility of supertype clustering in prediction for class ii mhc-peptide binding[J]. Molecules,2018,23(11):18. |
APA | Shen, Wen-Jun,Zhang, Xun,Zhang, Shaohong,Liu, Cheng,&Cui, Wenjuan.(2018).The utility of supertype clustering in prediction for class ii mhc-peptide binding.Molecules,23(11),18. |
MLA | Shen, Wen-Jun,et al."The utility of supertype clustering in prediction for class ii mhc-peptide binding".Molecules 23.11(2018):18. |
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