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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...

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Autores principales: Klausen, Michael Schantz, Anderson, Mads Valdemar, Jespersen, Martin Closter, Nielsen, Morten, Marcatili, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
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.
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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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