HTNpedia: A Knowledge Base for Hypertension Research
- 作者: Loganathan L.1, Jeyaraman J.1, Muthusamy K.1
-
隶属关系:
- Department of Bioinformatics, Alagappa University
- 期: 卷 27, 编号 5 (2024)
- 页面: 745-753
- 栏目: Chemistry
- URL: https://rjeid.com/1386-2073/article/view/644825
- DOI: https://doi.org/10.2174/1386207326666230518162439
- ID: 644825
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全文:
详细
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.
关键词
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
- 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
- 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
- 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
- Tharp, C.A.; Haywood, M.E.; Sbaizero, O.; Taylor, M.R.G.; Mestroni, L. The giant protein titins 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
- 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
- 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
- Drug discovery: Playing dirty oral cancer news. Available from: https://oralcancernews.org/wp/drug-discovery-playing-dirty/ (Accessed Oct 12, 2022).
- 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
- 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
- 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
- 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
- Ensembl Genomes. Available from: https://ensemblgenomes.org/ (Accessed Oct 12, 2022).
- 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
- 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
- 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
- Davydov, V.; Hansen, L.A.; Shackelford, D.A. Is DNA repair compromised in Alzheimers disease? Neurobiol. Aging, 2003, 24(7), 953-968. doi: 10.1016/S0197-4580(02)00229-4 PMID: 12928056
- 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
- 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
- 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.
- 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
- 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.; DEustachio, P. The Reactome pathway knowledgebase. Nucleic Acids Res., 2014, 42(D1), D472-D477. doi: 10.1093/nar/gkt1102 PMID: 24243840
- 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
- Bateman, A. UniProt: A worldwide hub of protein knowledge. Nucleic Acids Res., 2019, 47(D1), D506-D515. doi: 10.1093/nar/gky1049 PMID: 30395287
- 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
- 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
- Sternad, D. Progress in motor control. Adv. Exp. Med. Biol., 2009, 629. doi: 10.1007/978-0-387-77064-2
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