EconPapers    
Economics at your fingertips  
 

Molecular Dynamics Simulation of the Nascent Peptide Chain in the Ribosomal Exit Tunnel

Lars Bock () and Helmut Grubmüller ()
Additional contact information
Lars Bock: MPI for Biophysical Chemistry
Helmut Grubmüller: MPI for Biophysical Chemistry

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 747-755 from Springer

Abstract: Abstract The ribosome is a large macromolecular complex which synthesizes all proteins in the cell according to the genetic code and thereby the central nanomachine of life. Nascent peptide chains are polymerized by the ribosome and exit through a tunnel in the large subunit. This tunnel is an important target for antibiotic action hindering the movement of the peptide chain. The recently solved structure of the ribosome led to a better understanding of the tunnel’s geometry and the binding sites of the antibiotics. Yet the dynamics of the polypeptide’s conformation and the interactions with the large subunit and the antibiotics remain unclear. We approach these questions with molecular dynamics simulations of the large subunit and the nascent chain in explicit water under physiological conditions. This allows us to investigate the dynamics the ribosome and the polypeptide at an atomistic level, which will lead to a huge improvement in the understanding of the translation process and the antibiotic action.

Keywords: Large Ribosomal Subunit; Dynamic Load Balance; Exit Tunnel; Pressure Coupling; Nascent Chain (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-13872-0_62

Ordering information: This item can be ordered from
http://www.springer.com/9783642138720

DOI: 10.1007/978-3-642-13872-0_62

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-642-13872-0_62