Evidence map›Paper›PMID 26187044›Full record

ArticleBiological research2015

CoagVDb: a comprehensive database for coagulation factors and their associated SAPs.

Shabana Kouser Ali, C George Priya Doss, D Thirumal Kumar, Hailong Zhu

Abstract read
In one paragraph

Article in Biological research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shabana Kouser AliMedical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India. shabanakouser@vit.ac.in.
C George Priya DossMedical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India. georgecp77@yahoo.co.in.
D Thirumal KumarMedical Biotechnology Division, School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India. thirumalkumar.d@gmail.com.
Hailong ZhuDepartment of Computer Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong. hlzhu@comp.hkbu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Computational BiologyPolymorphism, Single NucleotideSequence Analysis, ProteinAmino Acid SubstitutionBlood Coagulation FactorsDatabases, FactualGenotypeHumansPhenotypeBlood Coagulation Factors

Identifiers

PMID26187044
PMCPMC4506595

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.