ProdoDB: a sequence-matched protein domain database with REST API service

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-5
Year of Publication : 2020
Authors : Byung Ryul Jeon
DOI :  10.14445/22315381/IJETT-V68I5P203S

Citation 

MLA Style: Byung Ryul Jeon "Determination of Optimal Torque in Thread Rolling Operation" International Journal of Engineering Trends and Technology 68.5(2020):13-15. 

APA Style:Byung Ryul Jeon. Determination of Optimal Torque in Thread Rolling Operation  International Journal of Engineering Trends and Technology, 68(5),13-15.

Abstract
With ever-increasing amounts of genomic data being generated, most analysis of next generation sequencing data is performed with extensive use of bioinformatics tools. For proper analysis of large experimental datasets, linking to proper resources with adequate unique identifiers (IDs) is critical. However, for protein databases, although numerous genetic and protein databases provide associated unique IDs, due to the polymorphisms and isoforms of proteins used in research, protein sequences can differ among associated databases. As functional domain information is a key element for interpretation of genetic sequence variants, an easily accessible integrated protein domain database is needed. Here we present ProdoDB, a protein domain database providing sequence-matched Swiss-Prot and National Center for Biotechnology Information(NCBI) protein reference sequence unique ID mapping, as well as corresponding sequence information, including gene and domain information, as a REST API service following OpenAPI standards.

Reference

[1] C. Wu, I. Macleod, and A. I. Su, "BioGPS and MyGene.info: organizing online, gene-centric information," Nucleic Acids Res, vol. 41, no. Database issue, pp. D561-5, Jan 2013.
[2] Y. M. Park, S. Squizzato, N. Buso, T. Gur, and R. Lopez, "The EBI search engine: EBI search as a service-making biological data accessible for all," Nucleic Acids Res, vol. 45, no. W1, pp. W545-W549, Jul 3 2017.
[3] J. Xin et al., "High-performance web services for querying gene and variant annotation," Genome Biol, vol. 17, no. 1, p. 91, May 6 2016.
[4] R. Dalgleish et al., "Locus Reference Genomic sequences: an improved basis for describing human DNA variants," Genome Med, vol. 2, no. 4, p. 24, Apr 15 2010.
[5] J. A. MacArthur et al., "Locus Reference Genomic: reference sequences for the reporting of clinically relevant sequence variants," Nucleic Acids Res, vol. 42, no. Database issue, pp. D873-8, Jan 2014.
[6] S. Richards et al., "Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology," Genet Med, vol. 17, no. 5, pp. 405-24, May 2015.
[7] T. UniProt Consortium, "UniProt: the universal protein knowledgebase," Nucleic Acids Res, vol. 46, no. 5, p. 2699, Mar 16 2018.
[8] M. J. Landrum et al., "ClinVar: public archive of relationships among sequence variation and human phenotype," Nucleic Acids Res, vol. 42, no. Database issue, pp. D980-5, Jan 2014.
[9] H. M. Berman et al., "The Protein Data Bank," Nucleic Acids Res, vol. 28, no. 1, pp. 235-42, Jan 1 2000.
[10] A. Nightingale et al., "The Proteins API: accessing key integrated protein and genome information," Nucleic Acids Res, vol. 45, no. W1, pp. W539-W544, Jul 3 2017.
[11] N. A. O`Leary et al., "Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation," Nucleic Acids Res, vol. 44, no. D1, pp. D733-45, Jan 4 2016.
[12] K. D. Pruitt, T. Tatusova, and D. R. Maglott, "NCBI Reference Sequence project: update and current status," Nucleic Acids Res, vol. 31, no. 1, pp. 34-7, Jan 1 2003.
[13] S. Pundir, M. Magrane, M. J. Martin, C. O`Donovan, and C. UniProt, "Searching and Navigating UniProt Databases," Curr Protoc Bioinformatics, vol. 50, pp. 1 27 1-10, Jun 19 2015.
[14] G. A. Van der Auwera et al., "From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline," Curr Protoc Bioinformatics, vol. 43, pp. 11 10 1-11 10 33, 2013.

Keywords
ProdoDB, Protein Sequence Mapping, Protein Database, Protein Domain and Site.