Analisis Bioinformatika Protein NRA Bakteri Streptococcus pyogenes Sebagai Dasar Pengembangan Reagen Diagnostik
Bioinformatics Analysis of NRA Proteins of the Bacteria Streptococcus pyogenes as a basic for the Development of Diagnostic Reagen
DOI:
https://doi.org/10.33084/jsm.v11i2.6633Keywords:
Streptococcus pyogenes, Protein Nra, Physico-chemical propertiesAbstract
Demam berdarah adalah penyakit yang disebabkan oleh bakteri Streptococcus pyogenes. Demam berdarah memiliki gejala sakit kepala yang menyakitkan, muntah, datangnya dan ruam merah. Peran laboratorium memeriksa dalam menegakkan diagnosis demam berdarah. Metode kultur merupakan gold standard yang mempunyai keterbatasan dalam efektifitas waktu pemeriksaan sehingga menyebabkan keterlambatan pengobatan. Peneliti menggugat menemukan molekul protein yang mampu memberikan dampak besar dalam pengembangan reagen diagnostik yang spesifik dan sensitif. Salah satu faktor virulensi bakteri S. pyogenes adalah protein Nra. Protein Nra memiliki 62% identitas urutan asam amino yang menyusunnya bagian dari pili bakteri. Protein Nra diharapkan dapat digunakan sebagai protein potensial untuk pengembangan biomarker secara mendalam di laboratorium. Sampel penelitian berupa sekuens protein Nra bakteri S. pyogenes yang diambil dari database NCBI dengan nomor tambahan ABJ15818.1. Analisis sifat fisik protein Nra menggunakan alat bioinformatika ProtParam disajikan secara deskriptif. Bakteri protein Nra S. pyogenes memiliki berat molekul 59988.00, periode isoelektrik 9.39, total asam amino 511 AA, nomor atom 8582 Da, indeks kestabilan 41.16, indeks alifatik 104.91, indeks GRAVY -0.071. Kesimpulannya protein Nra bakteri S. pyogenes bersifat basa, hidrofilik, tidak stabil, sulit berinteraksi dengan protein lain. Sifat fisika-kimia protein Nra bakteri S. pyogenes dapat menjadi referensi penemuan potensi molekul diagnostik untuk pengembangan reagen diagnostik demam berdarah yang spesifik dan sensitif.
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References
Achudhan, A. B., Kannan, P. and Saleena, L. M. (2023) ‘Functional metagenomics uncovers nitrile-hydrolysing enzymes in a coal metagenome’, (March), pp. 1–10. doi: 10.3389/fmolb.2023.1123902.
Ali, M. et al. (2017) ‘Exploring dengue genome to construct a multi-epitope based subunit vaccine by utilizing immunoinformatics approach to battle against dengue infection’, Scientific Reports, (July), pp. 1–13. doi: 10.1038/s41598-017-09199-w.
Ali, M. M. et al. (2021) ‘Review Article Status of Bioinformatics Education in South Asia : Past and Present’, 2021.
Auslander, N., Gussow, A. B. and Koonin, E. V (2021) ‘Incorporating Machine Learning into Established Bioinformatics Frameworks’.
Calfee, G. et al. (2018) ‘crossm Identification and Characterization of Serotype-Specific Variation in Group A Streptococcus Pilus Expression’, pp. 1–16.
Chang, K. Y. and Yang, J. (2013) ‘Analysis and Prediction of Highly Effective Antiviral Peptides Based on Random Forests’, 8(8). doi: 10.1371/journal.pone.0070166.
Chen, C., Hou, J. and Tanner, J. J. (2020) ‘Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis’.
Elf, S. et al. (2018) ‘Molecular Detection of Streptococcus pyogenes by Strand Invasion Based Amplification Assay’, Molecular Diagnosis & Therapy, 22(5), pp. 595–602. doi: 10.1007/s40291-018-0346-8.
Ginting, T. B. R. (2019) ‘Fakultas perikanan dan kelautan universitas riau pekanbaru 2019’.
http://dx.doi.org/10.1037/0021-843X.108.2.201 Gouripur, GC, Kaliwal, RB and Kaliwal, BB (2016) 'In silico characterization of beta-galactosidase using computational tools', 8(1), pp. 101-111. 1–11. doi: 10.5897/JBSA2015.0101.
Id, SJB, Davies, MR and Mcmillan, DJ (2020) 'In silico characterization of stand-alone response regulators of Streptococcus pyogenes', (Type D), pp. 1–28. doi: 10.1371/journal.pone.0240834.
Kaur, Amritpreet et al. (2020) 'Topological analysis of pathogenesis-related proteins from Arabidopsis thaliana and Oryza sativa using in-silico approaches', pp. 1–15. doi: 10.1371/journal.pone.0239836.
Naga, WS et al. (2010) 'coagulation Of Proteins From Kecipir Seed Extract With', Vidya Teknik , 9(1), pp. 1–11.
Nakata, M. et al. (2020) ‘Thermosensitive pilus production by FCT type 3 Streptococcus pyogenes controlled by Nra regulator translational efficiency’, 113(November 2019), pp. 173–189. doi: 10.1111/mmi.14408.
Nakata, M., Kreikemeyer, B. and Foster, T. J. (2021) ‘Genetics , Structure , and Function of Group A Streptococcal Pili’, 12(February), pp. 1–19. doi: 10.3389/fmicb.2021.616508.
Osorio, D., Rondón-villarreal, P. and Torres, R. (2012) ‘Peptides : A package for data mining of antimicrobial peptides’, XX, pp. 1–11.
Palmer, C. A., Watts, R. A. and Arnold, S. J. (2010) ‘Rapid Evolution of Plethodontid Modulating Factor , a Hypervariable Salamander Courtship Pheromone , is Driven by Positive Selection’, pp. 427–440. doi: 10.1007/s00239-010-9342-2.
Panda, S. and Chandra, G. (2012) ‘Physicochemical characterization and functional analysis of some snake venom toxin proteins and related non-toxin proteins of other chordates Abstract : Background ’:, 8(18).
Pergande, M. R. and Cologna, S. M. (2017) ‘Isoelectric Point Separations of Peptides and Proteins’. doi: 10.3390/proteomes5010004.
Rajapaksha, L. G. T. G., Gunasekara, C. W. R. and Alwis, P. S. De (2022) ‘In silico detection and characterization of novel virulence proteins of the emerging poultry pathogen Gallibacterium anatis’, 20(4), pp. 1–9.
Runthala, A. et al. (2023) ‘Caseins : Versatility of Their Micellar Organization in Relation to the Functional and Nutritional Properties of Milk’, pp. 1–36.
Serban, C., Moldoveanu and Victor, D. (2017) ‘Properties of Analytes and Matrices Determining HPLC Selection’, Sience Direct, pp. 189–230.
Stewart, E. H. et al. (2014) ‘Rapid Antigen Group A Streptococcus Test to Diagnose Pharyngitis : A Systematic Review and Meta-Analysis’, 9(11), pp. 1–10. doi: 10.1371/journal.pone.0111727.
Thompson, T. Z. (2020) ‘crossm Group A Streptococcus Testing in Pediatrics : the Move to Point-of-Care Molecular Testing’, (March), pp. 1–8.
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