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Cystic Fibrosis News

Computer Simulations Point To Key Molecular Basis Of Cystic Fibrosis

Main Category: Cystic Fibrosis
Also Included In: IT / Internet / E-mail;  Biology / Biochemistry;  Genetics
Article Date: 03 Mar 2008 - 2:00 PDT

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Researchers from the University of North Carolina at Chapel Hill have identified a key molecular mechanism that may account for the development of cystic fibrosis, which about 1 in 3000 children are born with in the US every year. The findings, published February 29 in the open-access journal PLoS Computational Biology, add new knowledge to understanding the development of this disease and may also point the way to new corrective treatments.

Cystic fibrosis (CF) is a fatal disease caused by a defective gene that produces a misshapen form of the cystic fibrosis transmembrane conductance regulator (CFTR) protein. People with cystic fibrosis do not have enough CFTR for their cells to work normally because their bodies quickly destroy the mutant protein. The deletion of this protein specifically occurs in a major domain of CFTR called NBD1. Earlier experimental studies have shown that the mutant NBD1 has an increased tendency to misfold, resulting in the premature degradation of CFTR.

In CF, the molecular basis of this increased misfolding tendency has remained elusive, said team leader Nikolay Dokholyan.

"Understanding molecular etiology of the disease is a key step to developing pharmaceutical strategies to fight this disease," Dokholyan said.

Using molecular dynamics simulations, the researchers performed extensive simulations of how normal and mutant NBD1 folded. Molecular dynamics simulation is akin to a "virtual experiment" wherein atoms and molecules are allowed to evolve according to known physical laws. Using computers, this virtual experiment allows researchers to view how atoms actually move. These simulations, when applied to the NBD1 protein, showed that the disease-causing mutant exhibits a higher misfolding tendency.

More importantly, by comparing the structures of the normal and the mutant NBD1 domains as they fold, the authors were able to determine critical pairs of amino acid residues that must come together for NBD1 to fold correctly. These interactions are modulators of CFTR folding, and hence, they are potential modulators of CF.

"Computer simulations approximate our understanding of natural phenomena. That our simulations correlated with known experimental studies is remarkable," Dokholyan said. "More importantly, the molecular details of aberrant NBD1 folding provides guidance for the design of small molecule drugs to correct the most prevalent and pathogenic mutation in CFTR."

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Article adapted by Medical News Today from original press release.
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The first author of the study is Adrian Serohijos, a graduate student in the department of Physics and Astronomy at UNC and in the Molecular and Cellular Biophysics Program. Other co-authors in the study include John Riordan, Ph.D., co-discoverer of the CFTR gene and professor of biochemistry and biophysics, and Tamas Hegedus, Ph.D. of the UNC Cystic Fibrosis Research Center.

This study was supported in part by grants from the Cystic Fibrosis Foundation, the National Institutes of Health, and the American Heart Association.

Link to the published article.

CITATION: Serohijos AWR, Hegedu's T, Riordan JR, Dokholyan NV (2008) Diminished Self-Chaperoning Activity of the DF508 Mutant of CFTR Results in Protein Misfolding. PLoS Comput Biol 4(2): e1000008. doi:10.1371/journal.pcbi.1000008

CONTACT:

Dr. Nikolay Dokholyan

Stephanie Crayton
UNC School of Medicine Press Office

Patric Lane
UNC News Services

Disclaimer

This press release refers to an upcoming article in PLoS Computational Biology. The release is provided by the article authors and/or their institutions. Any opinions expressed in this release or article are the personal views of the journal staff and/or article contributors, and do not necessarily represent the views or policies of PLoS. PLoS expressly disclaims any and all warranties and liability in connection with the information found in the releases and articles and your use of such information.

About PLoS Computational Biology

PLoS Computational Biology (http://www.ploscompbiol.org/) features works of exceptional significance that further our understanding of living systems at all scales through the application of computational methods. All works published in PLoS Computational Biology are open access. Everything is immediately available subject only to the condition that the original authorship and source are properly attributed. Copyright is retained by the authors. The Public Library of Science uses the Creative Commons Attribution License.

About the Public Library of Science

The Public Library of Science (PLoS) is a non-profit organization of scientists and physicians committed to making the world's scientific and medical literature a freely available public resource. For more information, visit http://www.plos.org/.

Source: Mary Kohut
Public Library of Science




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