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StructMAn: annotation of single-nucleotide polymorphisms in the structural context
The next generation sequencing technologies produce unprecedented amounts of data on the genetic sequence of individual organisms. These sequences carry a substantial amount of variation that may or may be not related to a phenotype. Phenotypically important part of this variation often comes in for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987916/ https://www.ncbi.nlm.nih.gov/pubmed/27150811 http://dx.doi.org/10.1093/nar/gkw364 |
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author | Gress, Alexander Ramensky, Vasily Büch, Joachim Keller, Andreas Kalinina, Olga V. |
author_facet | Gress, Alexander Ramensky, Vasily Büch, Joachim Keller, Andreas Kalinina, Olga V. |
author_sort | Gress, Alexander |
collection | PubMed |
description | The next generation sequencing technologies produce unprecedented amounts of data on the genetic sequence of individual organisms. These sequences carry a substantial amount of variation that may or may be not related to a phenotype. Phenotypically important part of this variation often comes in form of protein-sequence altering (non-synonymous) single nucleotide variants (nsSNVs). Here we present StructMAn, a Web-based tool for annotation of human and non-human nsSNVs in the structural context. StructMAn analyzes the spatial location of the amino acid residue corresponding to nsSNVs in the three-dimensional (3D) protein structure relative to other proteins, nucleic acids and low molecular-weight ligands. We make use of all experimentally available 3D structures of query proteins, and also, unlike other tools in the field, of structures of proteins with detectable sequence identity to them. This allows us to provide a structural context for around 20% of all nsSNVs in a typical human sequencing sample, for up to 60% of nsSNVs in genes related to human diseases and for around 35% of nsSNVs in a typical bacterial sample. Each nsSNV can be visualized and inspected by the user in the corresponding 3D structure of a protein or protein complex. The StructMAn server is available at http://structman.mpi-inf.mpg.de. |
format | Online Article Text |
id | pubmed-4987916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-49879162016-08-22 StructMAn: annotation of single-nucleotide polymorphisms in the structural context Gress, Alexander Ramensky, Vasily Büch, Joachim Keller, Andreas Kalinina, Olga V. Nucleic Acids Res Web Server issue The next generation sequencing technologies produce unprecedented amounts of data on the genetic sequence of individual organisms. These sequences carry a substantial amount of variation that may or may be not related to a phenotype. Phenotypically important part of this variation often comes in form of protein-sequence altering (non-synonymous) single nucleotide variants (nsSNVs). Here we present StructMAn, a Web-based tool for annotation of human and non-human nsSNVs in the structural context. StructMAn analyzes the spatial location of the amino acid residue corresponding to nsSNVs in the three-dimensional (3D) protein structure relative to other proteins, nucleic acids and low molecular-weight ligands. We make use of all experimentally available 3D structures of query proteins, and also, unlike other tools in the field, of structures of proteins with detectable sequence identity to them. This allows us to provide a structural context for around 20% of all nsSNVs in a typical human sequencing sample, for up to 60% of nsSNVs in genes related to human diseases and for around 35% of nsSNVs in a typical bacterial sample. Each nsSNV can be visualized and inspected by the user in the corresponding 3D structure of a protein or protein complex. The StructMAn server is available at http://structman.mpi-inf.mpg.de. Oxford University Press 2016-07-08 2016-05-05 /pmc/articles/PMC4987916/ /pubmed/27150811 http://dx.doi.org/10.1093/nar/gkw364 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server issue Gress, Alexander Ramensky, Vasily Büch, Joachim Keller, Andreas Kalinina, Olga V. StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title | StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title_full | StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title_fullStr | StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title_full_unstemmed | StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title_short | StructMAn: annotation of single-nucleotide polymorphisms in the structural context |
title_sort | structman: annotation of single-nucleotide polymorphisms in the structural context |
topic | Web Server issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987916/ https://www.ncbi.nlm.nih.gov/pubmed/27150811 http://dx.doi.org/10.1093/nar/gkw364 |
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