Generic placeholder image

Combinatorial Chemistry & High Throughput Screening

Editor-in-Chief

ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

General Research Article

HTNpedia: A Knowledge Base for Hypertension Research

Author(s): Lakshmanan Loganathan, Jeyakanthan Jeyaraman and Karthikeyan Muthusamy*

Volume 27, Issue 5, 2024

Published on: 13 June, 2023

Page: [745 - 753] Pages: 9

DOI: 10.2174/1386207326666230518162439

Price: $65

Abstract

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.

Objectives: 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.

Keywords: Hypertension, SNP, proteins, genes, drug molecules, HTNpedia.

Graphical Abstract
[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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/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.
[http://dx.doi.org/10.1038/ki.2012.63] [PMID: 22456601]
[26]
Sternad, D. Progress in motor control. Adv. Exp. Med. Biol., 2009, 629.
[http://dx.doi.org/10.1007/978-0-387-77064-2]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy