Koentjoro, Maharani Pertiwi and Prasetyo, Endry Nugroho (2019) Bioinformatika Sebagai Metode Awal Analisis Prekursor Peptidoglikan Endopeptidase Pada Mycobacterium Tuberculosis. Prosiding Seminar Nasional Teknologi dan Sains (SNasTekS ), 1 (1). pp. 41-50. ISSN 978-623-91277-6-3
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Abstract
Mycobacterium tuberculosis has a cell membrane sheath which plays an important role in the pathological process, namely the plasma membrane, cell wall, and capsules. Peptidoglycan (PG) are one of the cell wall components that specifically functions in the formation of cell structures and osmotic protection, consequently it becomes the target of antibacterial drugs. β–lactam antibiotics, such as penicillin, inhibit PG biosynthesis caused cell death. The formation of PG is regulated by a series of ripA and ripB protein coding genes. This study aims to apply bioinformatics under DNA–based molecular technique to design primers that is capable to detecting and characterizing the M. tuberculosis ripA gene. In this study, step 1 begins on the collection of M. tuberculosis H37rv isolates, total genome extraction through the CTAB method. Step 2 are the design and analysis of primers, amplification of DNA fragments, detection of PCR products, sequencing of nucleotides and characterization of ripA genes with the MEGA5 program. The ripA gene primary design was carried out using a database from the National Center for Biotechnology Information (NCBI) and the primer–BLAST program. From the results of sequence analysis with phylogenetic analysis (BLAST), it was obtained that the ripA gene has an amplification length of 912 bp and 100% of genes derived from M. tuberculosis. The result of gene analysis showed that bioinformatics became one of the methods to manage and analyze biological data (DNA sequences and amino acids) from M. tuberculosis. Specific primers designed in this study are expected to be efficient for use as detection primers for the PCR.
Item Type: | Article |
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Uncontrolled Keywords: | Mycobacterium tuberculosis, Peptidoglycan, ripA, Bioinformatic, Primer. |
Subjects: | R Medicine > RC Internal medicine > RC306-320.5 Tuberculosis |
Divisions: | Faculty of Health > Program Study of Health Analyst |
Depositing User: | Mr. . Aji |
Date Deposited: | 23 Jul 2020 05:28 |
Last Modified: | 23 Jul 2020 05:28 |
URI: | http://repository.unusa.ac.id/id/eprint/6211 |
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