LYRA, a webserver for lymphocyte receptor structural modeling

被引:56
|
作者
Klausen, Michael Schantz [1 ]
Anderson, Mads Valdemar [1 ]
Jespersen, Martin Closter [1 ]
Nielsen, Morten [1 ,2 ]
Marcatili, Paolo [1 ]
机构
[1] Tech Univ Denmark, Ctr Biol Sequence Anal, DK-2800 Lyngby, Denmark
[2] Univ Nacl San Martin, Inst Invest Biotecnol, Buenos Aires, DF, Argentina
基金
美国国家卫生研究院;
关键词
CANONICAL STRUCTURES; T-CELLS; ANTIBODIES IMPLICATIONS; HYPERVARIABLE REGIONS; PREDICTION; IMMUNOGLOBULIN; CLASSIFICATION; CONFORMATIONS; IMPROVEMENTS; DATABASE;
D O I
10.1093/nar/gkv535
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The accurate structural modeling of B- and T-cell receptors is fundamental to gain a detailed insight in the mechanisms underlying immunity and in developing new drugs and therapies. The LYRA (LYmphocyte Receptor Automated modeling) web server (http://www.cbs.dtu.dk/services/LYRA/) implements a complete and automated method for building of B- and T-cell receptor structural models starting from their amino acid sequence alone. The webserver is freely available and easy to use for non-specialists. Upon submission, LYRA automatically generates alignments using ad hoc profiles, predicts the structural class of each hypervariable loop, selects the best templates in an automatic fashion, and provides within minutes a complete 3D model that can be downloaded or inspected online. Experienced users can manually select or exclude template structures according to case specific information. LYRA is based on the canonical structure method, that in the last 30 years has been successfully used to generate antibody models of high accuracy, and in our benchmarks this approach proves to achieve similarly good results on TCR modeling, with a benchmarked average RMSD accuracy of 1.29 and 1.48 angstrom for B- and T-cell receptors, respectively. To the best of our knowledge, LYRA is the first automated server for the prediction of TCR structure.
引用
收藏
页码:W349 / W355
页数:7
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