Abstract
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.
Original language | English |
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Pages (from-to) | 3131-3141 |
Number of pages | 11 |
Journal | Biochimica et Biophysica Acta - General Subjects |
Volume | 1861 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2017 |
Bibliographical note
Publisher Copyright:© 2017 Elsevier B.V.
Funding
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
Funders | Funder number |
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Istanbul Technical University , Scientific Research Projects Foundation | 36110 |
Keywords
- Allosteric regulation
- Anisotropic network model
- Bacterial ribosome
- Coarse-graining
- k-Shortest pathways