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Identification of potential allosteric communication pathways between functional sites of the bacterial ribosome by graph and elastic network models

  • Pelin Guzel
  • , Ozge Kurkcuoglu*
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Istanbul Technical University

Araştırma çıktısı: Dergi yayınıMakaleHakem

27 Atıf (Scopus)

Özet

Background Accumulated evidence indicates that bacterial ribosome employs allostery throughout its structure for protein synthesis. The nature of the allosteric communication between remote functional sites remains unclear, but the contact topology and dynamics of residues may play role in transmission of a perturbation to distant sites. Methods/results We employ two computationally efficient approaches – graph and elastic network modeling to gain insights about the allosteric communication in ribosome. Using graph representation of the structure, we perform k-shortest pathways analysis between peptidyl transferase center-ribosomal tunnel, decoding center-peptidyl transferase center - previously reported functional sites having allosteric communication. Detailed analysis on intact structures points to common and alternative shortest pathways preferred by different states of translation. All shortest pathways capture drug target sites and allosterically important regions. Elastic network model further reveals that residues along all pathways have the ability of quickly establishing pair-wise communication and to help the propagation of a perturbation in long-ranges during functional motions of the complex. Conclusions Contact topology and inherent dynamics of ribosome configure potential communication pathways between functional sites in different translation states. Inter-subunit bridges B2a, B3 and P-tRNA come forward for their high potential in assisting allostery during translation. Especially B3 emerges as a potential druggable site. General significance This study indicates that the ribosome topology forms a basis for allosteric communication, which can be disrupted by novel drugs to kill drug-resistant bacteria. Our computationally efficient approach not only overlaps with experimental evidence on allosteric regulation in ribosome but also proposes new druggable sites.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)3131-3141
Sayfa sayısı11
DergiBiochimica et Biophysica Acta - General Subjects
Hacim1861
Basın numarası12
DOI'lar
Yayın durumuYayınlandı - Ara 2017

Bibliyografik not

Publisher Copyright:
© 2017 Elsevier B.V.

Finansman

The in-house code used to calculate k -shortest pathways in this study was developed by Serhat Sarikavak in Istanbul Technical University, Department of Chemical Engineering. OK thanks Zeynep Kurkcuoglu for her useful comments on this work. This work was supported by Istanbul Technical University , Scientific Research Projects Foundation [Project No: 36110 ]. Appendix A

FinansörlerFinansör numarası
Istanbul Technical University , Scientific Research Projects Foundation36110

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