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CoagVDb: a comprehensive database for coagulation factors and their associated SAPs
The current state of the art in medical genetics is to identify and classify the functional (deleterious) or non-functional (neutral) single amino acid substitutions (SAPs), also known as non-synonymous SNPs (nsSNPs). The primary goal is to elucidate the mechanisms through which functional SAPs exer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506595/ https://www.ncbi.nlm.nih.gov/pubmed/26187044 http://dx.doi.org/10.1186/s40659-015-0028-5 |
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author | Ali, Shabana Kouser Doss, C George Priya Kumar, D Thirumal Zhu, Hailong |
author_facet | Ali, Shabana Kouser Doss, C George Priya Kumar, D Thirumal Zhu, Hailong |
author_sort | Ali, Shabana Kouser |
collection | PubMed |
description | The current state of the art in medical genetics is to identify and classify the functional (deleterious) or non-functional (neutral) single amino acid substitutions (SAPs), also known as non-synonymous SNPs (nsSNPs). The primary goal is to elucidate the mechanisms through which functional SAPs exert their effects, and ultimately interrogating this information for association with complex phenotypes. This work focuses on coagulation factors involved in the coagulation cascade pathway which plays a vital role in the maintenance of homeostasis in the human system. We developed an integrated coagulation variation database, CoagVDb, which makes use of the biological information from various public databases such as NCBI, OMIM, UniProt, PDB and SAPs (rsIDs/variant). CoagVDb enriched with computational prediction scores classify SAPs as either deleterious or tolerated. Also, various other properties are incorporated such as amino acid composition, secondary structure elements, solvent accessibility, ordered/disordered regions, conservation, and the presence of disulfide bonds. This specialized database provides integration of various prediction scores from different computational methods along with gene, protein, and disease information. We hope our database will act as a useful reference resource for hematologists to reveal protein structure–function relationship and disease genotype–phenotype correlation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40659-015-0028-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4506595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45065952015-07-19 CoagVDb: a comprehensive database for coagulation factors and their associated SAPs Ali, Shabana Kouser Doss, C George Priya Kumar, D Thirumal Zhu, Hailong Biol Res Research Article The current state of the art in medical genetics is to identify and classify the functional (deleterious) or non-functional (neutral) single amino acid substitutions (SAPs), also known as non-synonymous SNPs (nsSNPs). The primary goal is to elucidate the mechanisms through which functional SAPs exert their effects, and ultimately interrogating this information for association with complex phenotypes. This work focuses on coagulation factors involved in the coagulation cascade pathway which plays a vital role in the maintenance of homeostasis in the human system. We developed an integrated coagulation variation database, CoagVDb, which makes use of the biological information from various public databases such as NCBI, OMIM, UniProt, PDB and SAPs (rsIDs/variant). CoagVDb enriched with computational prediction scores classify SAPs as either deleterious or tolerated. Also, various other properties are incorporated such as amino acid composition, secondary structure elements, solvent accessibility, ordered/disordered regions, conservation, and the presence of disulfide bonds. This specialized database provides integration of various prediction scores from different computational methods along with gene, protein, and disease information. We hope our database will act as a useful reference resource for hematologists to reveal protein structure–function relationship and disease genotype–phenotype correlation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40659-015-0028-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-19 /pmc/articles/PMC4506595/ /pubmed/26187044 http://dx.doi.org/10.1186/s40659-015-0028-5 Text en © Ali et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ali, Shabana Kouser Doss, C George Priya Kumar, D Thirumal Zhu, Hailong CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title | CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title_full | CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title_fullStr | CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title_full_unstemmed | CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title_short | CoagVDb: a comprehensive database for coagulation factors and their associated SAPs |
title_sort | coagvdb: a comprehensive database for coagulation factors and their associated saps |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506595/ https://www.ncbi.nlm.nih.gov/pubmed/26187044 http://dx.doi.org/10.1186/s40659-015-0028-5 |
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