Klausen Michael Schantz, Anderson Mads Valdemar, Jespersen Martin Closter, Nielsen Morten, Marcatili Paolo
Center for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark.
Center for Biological Sequence Analysis, Technical University of Denmark, Kgs. Lyngby, Denmark Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, Buenos Aires, Argentina
Nucleic Acids Res. 2015 Jul 1;43(W1):W349-55. doi: 10.1093/nar/gkv535. Epub 2015 May 24.
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 Å 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.
B细胞和T细胞受体的精确结构建模对于深入了解免疫机制以及开发新药和新疗法至关重要。LYRA(淋巴细胞受体自动建模)网络服务器(http://www.cbs.dtu.dk/services/LYRA/)实现了一种完整的自动化方法,仅从氨基酸序列开始构建B细胞和T细胞受体的结构模型。该网络服务器免费提供,非专业人员也易于使用。提交后,LYRA会使用特定的图谱自动生成比对,预测每个高变环的结构类别,自动选择最佳模板,并在几分钟内提供一个完整的3D模型,该模型可以下载或在线查看。有经验的用户可以根据具体情况手动选择或排除模板结构。LYRA基于规范结构方法,在过去30年中已成功用于生成高精度的抗体模型,在我们的基准测试中,这种方法在TCR建模中也证明能取得同样好的结果,B细胞和T细胞受体的基准平均RMSD精度分别为1.29 Å和1.48 Å。据我们所知,LYRA是第一个用于预测TCR结构的自动化服务器。