SAbPred: a structure-based antibody prediction server.

SAbPred: a structure-based antibody prediction server.
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DOI:
10.1093/nar/gkw361
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发表时间:
2016-07-08
影响因子:
14.9
通讯作者:
Deane CM
Deane CM
中科院分区:
生物学2区
文献类型:
--
作者:
Dunbar J;Krawczyk K;Leem J;Marks C;Nowak J;Regep C;Georges G;Kelm S;Popovic B;Deane CM

文献摘要

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SAbPred是一个服务器,它可以预测抗体的特性,重点是它们的结构。抗体信息学工具可以帮助提高我们对疾病免疫反应的理解,并有助于治疗分子的设计和工程。SAbPred是一个包含多个应用程序的单一平台,可以:对序列进行编号和比对;自动生成抗体可变片段同源性模型;用估计的准确性以及序列和结构特性(包括潜在的可开发性问题)注释此类模型;预测互补位残基;并预测蛋白质抗原上的表位补丁。该服务器位于http://opig.stats.ox.ac.uk/webapps/sabpred。
SAbPred is a server that makes predictions of the properties of antibodies focusing on their structures. Antibody informatics tools can help improve our understanding of immune responses to disease and aid in the design and engineering of therapeutic molecules. SAbPred is a single platform containing multiple applications which can: number and align sequences; automatically generate antibody variable fragment homology models; annotate such models with estimated accuracy alongside sequence and structural properties including potential developability issues; predict paratope residues; and predict epitope patches on protein antigens. The server is available at http://opig.stats.ox.ac.uk/webapps/sabpred.