Abstract

Objective: Antibiotic resistance is amongst leading problems in pharmaceutical and medicinal science. The resistive genes are imposed a pressure by antibiotics which cause excessive genetic material exchange by resulting malfunctioning. Microbial population has also been terminated by undue antibiotic uses. Therefore, the problem needs a solution to introduce new tools to measure accurate resistance level. Bioinformatic and pharmaceutical technologies can revolutionize the industry. Patients and Methods: The molecular study was conducted to determine protein natures, structures and functioning in subjected individuals. The biological modeling of living cell system and proteins enables to discover effective drug strategies. This helped to contest the expanding antibiotic resistance problem. Results: The present study analyzed several types of data that included nucleotide and protein structures and sequences. Conclusion: The results of protein analysis indicated that the accurate drug treatment is much effective and computational modeling can help to determine antibiotic resistance levels. Keywords: Antibiotic resistance, microbial population, bioinformatics, pharmaceuticals, biological modeling, drug, proteins

Authors and Affiliations