1.Selection of appropriate analytical tools to determine the potency and bioactivity of antibiotics and antibiotic resistance$
Semwal P. Uttam ; Rajput K. Rupak ; Singh G.N.
Journal of Pharmaceutical Analysis 2016;6(4):207-213
Antibiotics are the chemotherapeutic agents that kill or inhibit the pathogenic microorganisms. Re-sistance of microorganism to antibiotics is a growing problem around the world due to indiscriminate and irrational use of antibiotics. In order to overcome the resistance problem and to safely use antibiotics, the correct measurement of potency and bioactivity of antibiotics is essential. Microbiological assay and high performance liquid chromatography (HPLC) method are used to quantify the potency of antibiotics. HPLC method is commonly used for the quantification of potency of antibiotics, but unable to determine the bioactivity; whereas microbiological assay estimates both potency and bioactivity of antibiotics. Additionally, bioassay is used to estimate the effective dose against antibiotic resistant microbes. Simultaneously, microbiological assay addresses the several parameters such as minimal inhibitory concentration (MIC), minimum bactericidal concentration (MBC), mutation prevention concentration (MPC) and critical concentration (Ccr) which are used to describe the potency in a more informative way. Microbiological assay is a simple, sensitive, precise and cost effective method which gives reproducible results similar to HPLC. However, the HPLC cannot be a complete substitute for microbiological assay and both methods have their own significance to obtain more realistic and precise results.
2.Development and validation of microbial bioassay for quantification of Levofloxacin in pharmaceutical preparations
Dafale A. Nishant ; Semwal P. Uttam ; Agarwal K. Piyush ; Sharma Pradeep ; Singh G.N.
Journal of Pharmaceutical Analysis 2015;(1):18-26
The aim of this study was to develop and validate a simple, sensitive, precise and cost-effective one-level agar diffusion (5t1) bioassay for estimation of potency and bioactivity of Levofloxacin in pharmaceutical preparation which has not yet been reported in any pharmacopoeia. Among 16 microbial strains, Bacillus pumilus ATCC-14884 was selected as the most significant strain against Levofloxacin. Bioassay was optimized by investigating several factors such as buffer pH, inoculums concentration and reference standard concentration. Identification of Levofloxacin in commercial sample Levoflox tablet was done by FTIR spectroscopy. Mean potency recovery value for Levofloxacin in Levoflox tablet was estimated as 100.90%. A validated bioassay method showed linearity (r2 ? 0.988), precision (Interday RSD ? 1.05%, between analyst RSD ? 1.02%) and accuracy (101.23%, RSD ? 0.72%). Bioassay was correlated with HPLC using same sample and estimated potencies were 100.90%and 99.37%, respectively. Results show that bioassay is a suitable method for estimation of potency and bioactivity of Levofloxacin pharmaceutical preparations.
3.Mycobacterial PE_PGRS proteins contain calcium-binding motifs with parallel beta-roll folds.
Nandita BACHHAWAT ; Balvinder SINGH
Genomics, Proteomics & Bioinformatics 2007;5(3-4):236-241
The PE_PGRS family of proteins unique to mycobacteria is demonstrated to contain multiple calcium-binding and glycine-rich sequence motifs GGXGXD/NXUX. This sequence repeat constitutes a calcium-binding parallel beta-roll or parallel beta-helix structure and is found in RTX toxins secreted by many Gram-negative bacteria. It is predicted that the highly homologous PE PGRS proteins containing multiple copies of the nona-peptide motif could fold into similar calcium-binding structures. The implication of the predicted calcium-binding property of PE PGRS proteins in the light of macrophage-pathogen interaction and pathogenesis is presented.
Amino Acid Motifs
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Amino Acid Sequence
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Antigens, Bacterial
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chemistry
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genetics
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metabolism
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Bacterial Proteins
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chemistry
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genetics
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metabolism
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Base Sequence
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Binding Sites
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genetics
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Calcium
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metabolism
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DNA, Bacterial
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genetics
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Membrane Proteins
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chemistry
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genetics
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metabolism
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Models, Molecular
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Molecular Sequence Data
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Mycobacterium tuberculosis
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genetics
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metabolism
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Protein Structure, Secondary