Exploring allosteric communication in multiple states of the bacterial ribosome using residue network analysis

Özge Kürkçüoğlu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Antibiotic resistance is one of the most important problems of our era and hence the discovery of new effective therapeutics is urgent. At this point, studying the allosteric communication pathways in the bacterial ribosome and revealing allosteric sites/residues is critical for designing new inhibitors or repurposing readily approved drugs for this enormous machine. To shed light onto molecular details of the allosteric mechanisms, here we construct residue networks of the bacterial ribosomal complex at four different states of translation by using an effective description of the intermolecular interactions. Centrality analysis of these networks highlights the functional roles of structural components and critical residues on the ribosomal complex. High betweenness scores reveal pathways of residues connecting numerous sites on the structure. Interestingly, these pathways assemble highly conserved residues, drug binding sites, and known allosterically linked regions on the same structure. This study proposes a new residue-level model to test how distant sites on the molecular machine may be linked through hub residues that are critically located on the contact topology to inherently form communication pathways. Findings also indicate intersubunit bridges B1b, B3, B5, B7, and B8 as critical targets to design novel antibiotics.

Original languageEnglish
Pages (from-to)392-404
Number of pages13
JournalTurkish Journal of Biology
Volume42
Issue number5
DOIs
Publication statusPublished - 2018

Bibliographical note

Publisher Copyright:
© TÜBİTAK.

Funding

This work was supported by the İstanbul Technical University Scientific Research Projects Foundation [Project No: 36110].

FundersFunder number
Istanbul Teknik Üniversitesi36110

    Keywords

    • Allosteric communication
    • Betweenness centrality
    • Closeness centrality
    • Drug-resistant bacteria
    • Druggable sites

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