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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...

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Autores principales: Ali, Shabana Kouser, Doss, C George Priya, Kumar, D Thirumal, Zhu, Hailong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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