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Biomedical and Biotechnology Research Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
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Biomedical and Biotechnology Research Journal
Article
License: CC BY NC SA
Data sources: UnpayWall
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Drug–drug interaction analysis: Antituberculosis drugs versus antiretroviral drugs

Authors: Won Sriwijitalai; Viroj Wiwanitkit;

Drug–drug interaction analysis: Antituberculosis drugs versus antiretroviral drugs

Abstract

Background: Human immunodeficiency virus (HIV) infection is an important public health globally. An important concomitant medical disorder among HIV-infected patients is tuberculosis. The management of concurrent infection between HIV and tuberculosis is usually difficult. The concomitant use of antituberculosis drug and antiretroviral drug is required. The important clinical pharmacological concern is on the possible drug–drug interaction. Methods: Here, the authors performed an informatics study. The standard drug–drug interaction analysis was done. The possible interaction between antituberculosis drug and antiretroviral drug is accessed, and the degree of severity is also predicted using a standard bioinformatics tool, drug interaction checker. Results: Several possible drug–drug interactions can be predicted through the bioinformatics analysis tool. The different degrees of interactions can be observed for different combinations between antituberculosis drug and antiretroviral drug. Conclusion: The drug–drug interaction between antituberculosis drug and antiretroviral drug is possible and can occur at various degrees. The monitoring of the concomitant use of drugs in each specific HIV-infected individual is necessary.

Related Organizations
Keywords

human immunodeficiency virus, tuberculosis, drug, interaction, Analysis, TP248.13-248.65, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold