Literature DB >> 17937402

Retardation of the unfolding process by single N-glycosylation of ribonuclease A based on molecular dynamics simulations.

Youngjin Choi1, Jong Hyun Lee, Suntae Hwang, Joong-Kwon Kim, Karpjoo Jeong, Seunho Jung.   

Abstract

The conformational characteristics of glycosylated- and unglycosylated bovine pancreatic ribonuclease A (RNaseA) were traced with unfolding molecular dynamics simulations using CHARMM program at 470 K. The glycosylated RNase (Glc_RNase) possesses nearly identical protein structure with RNaseA, differing only by presence of a single acetylglucosamine residue N-linked to Asn34 in the RNaseA. Attaching of monomeric N-acetylglucosamine residue to the Asn34 in RNaseA resulted in a change of denaturing process of Glc_RNase. Simulations showed that the unfolding of RNaseA involved significant weakening of nonlocal interactions whereas the glycosylation led Glc_RNase to preserve the nonlocal interactions even in its denatured form. Even in simulations over 8 ns at 470 K, Glc_RNase remained relatively stable as a less denatured conformation. However, conformation of RNaseA was changed to a fully unfolded state before 3 ns of the simulations at 470 K. This difference was due to fact that formation of hydrogen bond bridges and nonlocal contacts induced by the attached N-acetylglucosamine of Glc_RNase showing in the unfolding simulations. These high-temperature unfolding MD simulations provided a theoretical basis for the previous experimental work in which Glc_RNase showed slower unfolding kinetics compared with unglycosylated RNaseA, suggesting that single N-glycosylation induced retardation of unfolding process of the ribonuclease protein. (c) 2007 Wiley Periodicals, Inc.

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Year:  2008        PMID: 17937402     DOI: 10.1002/bip.20867

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  2 in total

1.  Role of glycosylation in structure and stability of Erythrina corallodendron lectin (EcorL): a molecular dynamics study.

Authors:  Sandeep Kaushik; Debasisa Mohanty; Avadhesha Surolia
Journal:  Protein Sci       Date:  2011-03       Impact factor: 6.725

Review 2.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

  2 in total

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