HTNpedia: A Knowledge Base for Hypertension Research


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Background:Hypertension is notably a serious public health concern due to its high prevalence and strong association with cardiovascular disease and renal failure. It is reported to be the fourth leading disease that leads to death worldwide.

Objective:Currently, there is no active operational knowledge base or database for hypertension or cardiovascular illness.

Methods:The primary data source was retrieved from the research outputs obtained from our laboratory team working on hypertension research. We have presented a preliminary dataset and external links to the public repository for detailed analysis to readers.

Results:As a result, HTNpedia was created to provide information regarding hypertension-related proteins and genes.

Conclusion:The complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.

作者简介

Lakshmanan Loganathan

Department of Bioinformatics, Alagappa University

Email: info@benthamscience.net

Jeyakanthan Jeyaraman

Department of Bioinformatics, Alagappa University

Email: info@benthamscience.net

Karthikeyan Muthusamy

Department of Bioinformatics, Alagappa University

编辑信件的主要联系方式.
Email: info@benthamscience.net

参考

  1. Pinto, P.S.M.; Ki, M.; Power, C. Sedentary behaviour and biomarkers for cardiovascular disease and diabetes in mid-life: The role of television-viewing and sitting at work. PLoS One, 2012, 7(2), e31132. doi: 10.1371/journal.pone.0031132 PMID: 22347441
  2. Frantz, S.; Ertl, G.; Bauersachs, J. Mechanisms of Disease: Toll-like receptors in cardiovascular disease. Nat. Clin. Pract. Cardiovasc. Med., 2007, 4(8), 444-454. doi: 10.1038/ncpcardio0938 PMID: 17653117
  3. Loh, P.R.; Genovese, G.; McCarroll, S.A. Monogenic and polygenic inheritance become instruments for clonal selection. Nature, 2020, 584(7819), 136-141. doi: 10.1038/s41586-020-2430-6 PMID: 32581363
  4. Tharp, C.A.; Haywood, M.E.; Sbaizero, O.; Taylor, M.R.G.; Mestroni, L. The giant protein titin’s role in cardiomyopathy: Genetic, transcriptional, and post-translational modifications of TTN and their contribution to cardiac disease. Front. Physiol., 2019, 10, 1436. doi: 10.3389/fphys.2019.01436 PMID: 31849696
  5. Choi, Y.; Sims, G.E.; Murphy, S.; Miller, J.R.; Chan, A.P. Predicting the functional effect of amino acid substitutions and indels. PLoS One, 2012, 7(10), e46688. doi: 10.1371/journal.pone.0046688 PMID: 23056405
  6. Morrell, N.W.; Adnot, S.; Archer, S.L.; Dupuis, J.; Lloyd Jones, P.; MacLean, M.R.; McMurtry, I.F.; Stenmark, K.R.; Thistlethwaite, P.A.; Weissmann, N.; Yuan, J.X.J.; Weir, E.K. Cellular and molecular basis of pulmonary arterial hypertension. J. Am. Coll. Cardiol., 2009, 54(S1), S20-S31. doi: 10.1016/j.jacc.2009.04.018 PMID: 19555855
  7. Drug discovery: Playing dirty – oral cancer news. Available from: https://oralcancernews.org/wp/drug-discovery-playing-dirty/ (Accessed Oct 12, 2022).
  8. Sherman, B.T.; Huang, D.W.; Tan, Q.; Guo, Y.; Bour, S.; Liu, D.; Stephens, R.; Baseler, M.W.; Lane, H.C.; Lempicki, R.A. DAVID Knowledgebase: A gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis. BMC Bioinformatics, 2007, 8(1), 426. doi: 10.1186/1471-2105-8-426 PMID: 17980028
  9. Müller, L.; Gangadharaiah, R.; Klein, S.C.; Perry, J.; Bernstein, G.; Nurkse, D.; Wailes, D.; Graham, R.; El-Kareh, R.; Mehta, S.; Vinterbo, S.A.; Aronoff-Spencer, E. An open access medical knowledge base for community driven diagnostic decision support system development. BMC Med. Inform. Decis. Mak., 2019, 19(1), 93. doi: 10.1186/s12911-019-0804-1 PMID: 31029130
  10. Bairoch, A.; Apweiler, R. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000. Nucleic Acids Res., 2000, 28(1), 45-48. doi: 10.1093/nar/28.1.45 PMID: 10592178
  11. Bateman, A.; Martin, M.J.; Orchard, S.; Magrane, M.; Agivetova, R.; Ahmad, S.; Alpi, E.; Bowler-Barnett, E.H.; Britto, R.; Bursteinas, B.; Bye-A-Jee, H.; Coetzee, R.; Cukura, A.; Da Silva, A.; Denny, P.; Dogan, T.; Ebenezer, T.; Fan, J.; Castro, L.G.; Garmiri, P.; Georghiou, G.; Gonzales, L.; Hatton-Ellis, E.; Hussein, A.; Ignatchenko, A.; Insana, G.; Ishtiaq, R.; Jokinen, P.; Joshi, V.; Jyothi, D.; Lock, A.; Lopez, R.; Luciani, A.; Luo, J.; Lussi, Y.; MacDougall, A.; Madeira, F.; Mahmoudy, M.; Menchi, M.; Mishra, A.; Moulang, K.; Nightingale, A.; Oliveira, C.S.; Pundir, S.; Qi, G.; Raj, S.; Rice, D.; Lopez, M.R.; Saidi, R.; Sampson, J.; Sawford, T.; Speretta, E.; Turner, E.; Tyagi, N.; Vasudev, P.; Volynkin, V.; Warner, K.; Watkins, X.; Zaru, R.; Zellner, H.; Bridge, A.; Poux, S.; Redaschi, N.; Aimo, L.; Argoud-Puy, G.; Auchincloss, A.; Axelsen, K.; Bansal, P.; Baratin, D.; Blatter, M.C.; Bolleman, J.; Boutet, E.; Breuza, L.; Casals-Casas, C.; de Castro, E.; Echioukh, K.C.; Coudert, E.; Cuche, B.; Doche, M.; Dornevil, D.; Estreicher, A.; Famiglietti, M.L.; Feuermann, M.; Gasteiger, E.; Gehant, S.; Gerritsen, V.; Gos, A.; Gruaz-Gumowski, N.; Hinz, U.; Hulo, C.; Hyka-Nouspikel, N.; Jungo, F.; Keller, G.; Kerhornou, A.; Lara, V.; Le Mercier, P.; Lieberherr, D.; Lombardot, T.; Martin, X.; Masson, P.; Morgat, A.; Neto, T.B.; Paesano, S.; Pedruzzi, I.; Pilbout, S.; Pourcel, L.; Pozzato, M.; Pruess, M.; Rivoire, C.; Sigrist, C.; Sonesson, K.; Stutz, A.; Sundaram, S.; Tognolli, M.; Verbregue, L.; Wu, C.H.; Arighi, C.N.; Arminski, L.; Chen, C.; Chen, Y.; Garavelli, J.S.; Huang, H.; Laiho, K.; McGarvey, P.; Natale, D.A.; Ross, K.; Vinayaka, C.R.; Wang, Q.; Wang, Y.; Yeh, L.S.; Zhang, J.; Ruch, P.; Teodoro, D. UniProt: The universal protein knowledgebase in 2021. Nucleic Acids Res., 2021, 49(D1), D480-D489. doi: 10.1093/nar/gkaa1100 PMID: 33237286
  12. Ensembl Genomes. Available from: https://ensemblgenomes.org/ (Accessed Oct 12, 2022).
  13. Johansson, B.; Shahsavar, N.; Ahlfeldt, H.; Wigertz, O. Database and knowledge base integration in decision support systems. Proc. AMIA. Annu. Fall. Symp., 1996, 249-253. PMID: 8947666
  14. Gaudet, P.; Michel, P.A.; Zahn-Zabal, M.; Britan, A.; Cusin, I.; Domagalski, M.; Duek, P.D.; Gateau, A.; Gleizes, A.; Hinard, V.; Rech de Laval, V.; Lin, J.; Nikitin, F.; Schaeffer, M.; Teixeira, D.; Lane, L.; Bairoch, A. The neXtProt knowledgebase on human proteins: 2017 update. Nucleic Acids Res., 2017, 45(D1), D177-D182. doi: 10.1093/nar/gkw1062 PMID: 27899619
  15. Hamosh, A.; Scott, A.F.; Amberger, J.S.; Bocchini, C.A.; McKusick, V.A. Online mendelian inheritance in man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Res., 2004, 33(Database issue), D514-D517. doi: 10.1093/nar/gki033 PMID: 15608251
  16. Davydov, V.; Hansen, L.A.; Shackelford, D.A. Is DNA repair compromised in Alzheimer’s disease? Neurobiol. Aging, 2003, 24(7), 953-968. doi: 10.1016/S0197-4580(02)00229-4 PMID: 12928056
  17. Loganathan, L.; Gopinath, K.; Sankaranarayanan, V.M.; Kukreti, R.; Rajendran, K.; Lee, J.K.; Muthusamy, K. Computational and pharmacogenomic insights on hypertension treatment: rational drug design and optimization strategies. Curr. Drug Targets, 2019, 21(1), 18-33. doi: 10.2174/1389450120666190808101356 PMID: 31393243
  18. Loganathan, L.; Kuriakose, B.B.; Mushfiq, S.; Muthusamy, K. Mechanistic insights on nsSNPs on binding site of renin and cytochrome P450 proteins: A computational perceptual study for pharmacogenomics evaluation. J. Cell. Biochem., 2021, 122(10), 1460-1474. doi: 10.1002/jcb.30069 PMID: 34161641
  19. Loganathan, L.; Muthusamy, K. Investigation of drug interaction potentials and binding modes on direct renin inhibitors. a computational modeling studies. Lett. Drug Des. Discov., 2018, 15.
  20. Gopinath, K.; Jayakumararaj, R.; Karthikeyan, M. DAPD: A knowledgebase for diabetes associated proteins. IEEE/ACM Trans. Comput. Biol. Bioinformatics, 2015, 12(3), 604-610. doi: 10.1109/TCBB.2014.2359442 PMID: 26357271
  21. Croft, D.; Mundo, A.F.; Haw, R.; Milacic, M.; Weiser, J.; Wu, G.; Caudy, M.; Garapati, P.; Gillespie, M.; Kamdar, M.R.; Jassal, B.; Jupe, S.; Matthews, L.; May, B.; Palatnik, S.; Rothfels, K.; Shamovsky, V.; Song, H.; Williams, M.; Birney, E.; Hermjakob, H.; Stein, L.; D’Eustachio, P. The Reactome pathway knowledgebase. Nucleic Acids Res., 2014, 42(D1), D472-D477. doi: 10.1093/nar/gkt1102 PMID: 24243840
  22. Kanehisa, M.; Goto, S. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res., 2000, 28(1), 27-30. doi: 10.1093/nar/28.1.27 PMID: 10592173
  23. Bateman, A. UniProt: A worldwide hub of protein knowledge. Nucleic Acids Res., 2019, 47(D1), D506-D515. doi: 10.1093/nar/gky1049 PMID: 30395287
  24. Kumar, S.; Ambrosini, G.; Bucher, P. SNP2TFBS – a database of regulatory SNPs affecting predicted transcription factor binding site affinity. Nucleic Acids Res., 2017, 45(D1), D139-D144. doi: 10.1093/nar/gkw1064 PMID: 27899579
  25. Servais, A.; Noël, L.H.; Roumenina, L.T.; Le Quintrec, M.; Ngo, S.; Dragon-Durey, M.A.; Macher, M.A.; Zuber, J.; Karras, A.; Provot, F.; Moulin, B.; Grünfeld, J.P.; Niaudet, P.; Lesavre, P.; Frémeaux-Bacchi, V. Acquired and genetic complement abnormalities play a critical role in dense deposit disease and other C3 glomerulopathies. Kidney Int., 2012, 82(4), 454-464. doi: 10.1038/ki.2012.63 PMID: 22456601
  26. Sternad, D. Progress in motor control. Adv. Exp. Med. Biol., 2009, 629. doi: 10.1007/978-0-387-77064-2

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