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Updated: Feb 12, 2026

Expression and Purification of the Cystic Fibrosis Transmembrane Conductance Regulator Protein in Saccharomyces cerevisiae
Published on: March 10, 2012
Comprehensive mapping of cystic fibrosis mutations to CFTR protein identifies mutation clusters and molecular docking
Steven V Molinski1, Vijay M Shahani1, Adithya S Subramanian1
1Cyclica Inc., Toronto, Ontario, M5C 1C4, Canada.
Abstract:
Cystic Fibrosis (CF) is caused by mutations in the CFTR gene, of which over 2000 have been reported to date. Mutations have yet to be analyzed in aggregate to assess their distribution across the tertiary structure of the CFTR protein, an approach that could provide valuable insights into the structure-function relationship of CFTR. In addition, the binding site of Class I correctors (VX-809, VX-661, and C18) is not well understood. In this study, exonic CFTR mutations and mutant allele frequencies described in 3 curated databases (ABCMdb, CFTR1, and CFTR2, comprising >130 000 data points) were mapped to 2 different structural models: a homology model of full-length CFTR protein in the open-channel state, and a cryo-electron microscopy core-structure of CFTR in the closed-channel state. Accordingly, residue positions of 6 high-frequency mutant CFTR alleles were found to spatially co-localize in CFTR protein, and a significant cluster was identified at the NBD1:ICL4 interdomain interface. In addition, immunoblotting confirmed the approximate binding site of Class I correctors, demonstrating that these small molecules act via a similar mechanism in vitro, and in silico molecular docking generated binding poses for their complex with the cryo-electron microscopy structure to suggest the putative corrector binding site is a multi-domain pocket near residues F374-L375. These results confirm the significance of interdomain interfaces as susceptible to disruptive mutation, and identify a putative corrector binding site. The structural pharmacogenomics approach of mapping mutation databases to protein models shows promise for facilitating drug discovery and personalized medicine for monogenetic diseases.
Insights
Cystic Fibrosis (CF) mutations cluster at protein interfaces, revealing new drug targets. This study maps CFTR gene mutations onto protein structures to understand disease mechanisms and guide personalized medicine for CF patients.
Area of Science:
- Genetics and Molecular Biology
- Structural Biology
- Pharmacogenomics
Background:
- Cystic Fibrosis (CF) is caused by over 2000 mutations in the CFTR gene.
- The distribution of these mutations across the CFTR protein's tertiary structure and their impact on function remain incompletely understood.
- The precise binding site for Class I CFTR correctors is not well-defined.
Purpose of the Study:
- To analyze the aggregate distribution of exonic CFTR mutations across CFTR protein structural models.
- To identify mutation hotspots and understand their relationship to protein structure and function.
- To elucidate the binding site of Class I correctors for CFTR.
Main Methods:
- CFTR mutation data from three curated databases (>130,000 data points) were mapped onto homology and cryo-EM structural models of CFTR.
- High-frequency mutant CFTR alleles were analyzed for spatial co-localization within the protein structure.
- Immunoblotting and in silico molecular docking were used to investigate the binding site of Class I correctors.
Main Results:
- Six high-frequency mutant CFTR alleles spatially co-localized, with a significant cluster identified at the NBD1:ICL4 interdomain interface.
- Class I correctors (VX-809, VX-661, C18) demonstrated a similar in vitro binding mechanism.
- Molecular docking suggested a putative corrector binding site within a multi-domain pocket near residues F374-L375.
Conclusions:
- Interdomain interfaces of the CFTR protein are significant mutation hotspots.
- A putative binding site for Class I correctors has been identified.
- Structural pharmacogenomics, integrating mutation data with protein models, shows potential for CF drug discovery and personalized medicine.
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