Selection of Multi-Drug Targets against Drug-Resistant <i>Mycobacterium tuberculosis</i> XDR1219 Using the Hyperbolic Mapping of the Protein Interaction Network

Tuberculosis remains the leading cause of death from a single pathogen. On the other hand, antimicrobial resistance (AMR) makes it increasingly difficult to deal with this disease. We present the hyperbolic embedding of the <i>Mycobacterium tuberculosis</i> protein interaction network (m...

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Bibliographic Details
Main Authors: Noor ul Ain Zahra, Aimilia-Christina Vagiona, Reaz Uddin, Miguel A. Andrade-Navarro
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/24/18/14050
Description
Summary:Tuberculosis remains the leading cause of death from a single pathogen. On the other hand, antimicrobial resistance (AMR) makes it increasingly difficult to deal with this disease. We present the hyperbolic embedding of the <i>Mycobacterium tuberculosis</i> protein interaction network (mtbPIN) of resistant strain (MTB XDR1219) to determine the biological relevance of its latent geometry. In this hypermap, proteins with similar interacting partners occupy close positions. An analysis of the hypermap of available drug targets (DTs) and their direct and intermediate interactors was used to identify potentially useful drug combinations and drug targets. We identify <i>rpsA</i> and <i>rpsL</i> as close DTs targeted by different drugs (pyrazinamide and aminoglycosides, respectively) and propose that the combination of these drugs could have a synergistic effect. We also used the hypermap to explain the effects of drugs that affect multiple DTs, for example, forcing the bacteria to deal with multiple stresses like ethambutol, which affects the synthesis of both arabinogalactan and lipoarabinomannan. Our strategy uncovers novel potential DTs, such as <i>dprE1</i> and <i>dnaK</i> proteins, which interact with two close DT pairs: arabinosyltransferases (<i>embC</i> and <i>embB</i>), Ser/Thr protein kinase (<i>pknB</i>) and RNA polymerase (<i>rpoB</i>), respectively. Our approach provides mechanistic explanations for existing drugs and suggests new DTs. This strategy can also be applied to the study of other resistant strains.
ISSN:1661-6596
1422-0067