Authors:
Syarif Hidayat
;
Khariri
;
Setyo Adiningsih
;
Rina Isnawati
;
Nona Puetri
;
Putri Intan
;
Uly Nikmah
;
Sunarno
and
Novaria Sari Dewi Panjaitan
Affiliation:
Center for Biomedical Research, Research Organization for Health, National Research and Innovation Agency (BRIN), Cibinong Science Center, Bogor Km. 46, West Java, Indonesia
Keyword(s):
Bioinformatic, Bioinformatic Tools, Prediction, Antibiotic Resistance, AMR.
Abstract:
The bioinformatics study was a modernly designed study that enabled scientists worldwide, especially those working in genetic in living organisms, to do deeper analysis in researches. In recent reported studies regarding the bioinformatics tools used in the analysis, the issues regarding how to utilize well-developed bioinformatics tools in the studies requiring wet laboratories works were much discussed. Even though, those tools were being utilized in the preliminary step as a prediction, the accurate prediction predicted by the bioinformatics analysis was often guiding the research itself to a more directing research pathway. The growing issues and efforts of ‘personalized medicine’ was a good example of how important bioinformatics tools used in it for physicians in order to decide the exactly needed prescription subjectively. In this article, a brief descriptive review of the uses of several bioinformatics tools in the antibiotic resistance in bacterial infection cases. By an adv
anced search in PubMed, 78.563 articles regarding bioinformatics and antibacterial resistance were found without any limitations set on the publication date. However, due to the aim of this article was to briefly overview the importance of bioinformatics study in helping physicians making the right prescription, especially regarding the antibiotic use and antibiotic resistance based on recent reports, the limitations was set for only from 2018 to February 2023. Based on the filter set in MesH and title/abstract terms and publication date, a total of 45.435 articles in this search were found. However, from those 45.435 articles, there were approximately 181 systematic review articles found. These searches showed the needs in scientific communications between researcher using the bioinformatics tools and physicians for deciding the most appropriate way to well utilize the available tools to make better prescription worldwide, as one of many efforts in optimizing the antibacterial agent uses and against the antibacterial resistances.
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