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LYRA, a webserver for lymphocyte receptor structural modeling
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 comp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489227/ https://www.ncbi.nlm.nih.gov/pubmed/26007650 http://dx.doi.org/10.1093/nar/gkv535 |
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author | Klausen, Michael Schantz Anderson, Mads Valdemar Jespersen, Martin Closter Nielsen, Morten Marcatili, Paolo |
author_facet | Klausen, Michael Schantz Anderson, Mads Valdemar Jespersen, Martin Closter Nielsen, Morten Marcatili, Paolo |
author_sort | Klausen, Michael Schantz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4489227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-44892272015-07-07 LYRA, a webserver for lymphocyte receptor structural modeling Klausen, Michael Schantz Anderson, Mads Valdemar Jespersen, Martin Closter Nielsen, Morten Marcatili, Paolo Nucleic Acids Res Web Server issue 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. Oxford University Press 2015-07-01 2015-05-24 /pmc/articles/PMC4489227/ /pubmed/26007650 http://dx.doi.org/10.1093/nar/gkv535 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server issue Klausen, Michael Schantz Anderson, Mads Valdemar Jespersen, Martin Closter Nielsen, Morten Marcatili, Paolo LYRA, a webserver for lymphocyte receptor structural modeling |
title | LYRA, a webserver for lymphocyte receptor structural modeling |
title_full | LYRA, a webserver for lymphocyte receptor structural modeling |
title_fullStr | LYRA, a webserver for lymphocyte receptor structural modeling |
title_full_unstemmed | LYRA, a webserver for lymphocyte receptor structural modeling |
title_short | LYRA, a webserver for lymphocyte receptor structural modeling |
title_sort | lyra, a webserver for lymphocyte receptor structural modeling |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489227/ https://www.ncbi.nlm.nih.gov/pubmed/26007650 http://dx.doi.org/10.1093/nar/gkv535 |
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