↓ Skip to main content

PLOS

BiP Clustering Facilitates Protein Folding in the Endoplasmic Reticulum

Overview of attention for article published in PLoS Computational Biology, July 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
56 Mendeley
Title
BiP Clustering Facilitates Protein Folding in the Endoplasmic Reticulum
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003675
Pubmed ID
Authors

Marc Griesemer, Carissa Young, Anne S. Robinson, Linda Petzold

Abstract

The chaperone BiP participates in several regulatory processes within the endoplasmic reticulum (ER): translocation, protein folding, and ER-associated degradation. To facilitate protein folding, a cooperative mechanism known as entropic pulling has been proposed to demonstrate the molecular-level understanding of how multiple BiP molecules bind to nascent and unfolded proteins. Recently, experimental evidence revealed the spatial heterogeneity of BiP within the nuclear and peripheral ER of S. cerevisiae (commonly referred to as 'clusters'). Here, we developed a model to evaluate the potential advantages of accounting for multiple BiP molecules binding to peptides, while proposing that BiP's spatial heterogeneity may enhance protein folding and maturation. Scenarios were simulated to gauge the effectiveness of binding multiple chaperone molecules to peptides. Using two metrics: folding efficiency and chaperone cost, we determined that the single binding site model achieves a higher efficiency than models characterized by multiple binding sites, in the absence of cooperativity. Due to entropic pulling, however, multiple chaperones perform in concert to facilitate the resolubilization and ultimate yield of folded proteins. As a result of cooperativity, multiple binding site models used fewer BiP molecules and maintained a higher folding efficiency than the single binding site model. These insilico investigations reveal that clusters of BiP molecules bound to unfolded proteins may enhance folding efficiency through cooperative action via entropic pulling.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Bachelor 8 14%
Student > Master 7 13%
Student > Postgraduate 5 9%
Other 7 13%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Biochemistry, Genetics and Molecular Biology 16 29%
Medicine and Dentistry 4 7%
Immunology and Microbiology 2 4%
Engineering 2 4%
Other 4 7%
Unknown 10 18%