Back

Profiling the CFTR Variant Selectivity and Off-Target Interactions of VX-121

Jhangiani, A. R.; Olson, J. A.; Tedman, A.; Foye, C.; Jackson, J. J.; Winters, A. G.; White, J. A.; Perfetti, M.; Abell, G. M.; Cameron, C. D.; Arifova, L.; Corman, B.; Robinson, J. P.; Ledwitch, K.; Meiler, J.; Oliver, K. E.; Plate, L.; Schlebach, J. P.

2026-06-04 pharmacology and toxicology
10.64898/2026.06.01.729306 bioRxiv
Show abstract

More than 1,200 variants of the cystic fibrosis transmembrane conductance regulator gene (CFTR) are associated with cystic fibrosis (CF), an autosomal recessive pulmonary disease affecting over 100,000 people. Most people with CF bear a common CFTR variant (F508del) that can be treated with therapeutics containing "correctors" that suppress the misfolding of the CFTR chloride channel. However, the pharmacological responsiveness of other rare CF variants can vary tremendously. The approval of VX-121, a VX-445 analog that serves as a key component of Alyftrek, potentially provides a new therapeutic option for those with rare CF variants. Nevertheless, it remains unclear whether VX-121 offers superior rescue across the entire spectrum of rare CF variants. In this work, we use deep mutational scanning (DMS) to survey the impact of VX-121 on the plasma membrane expression of 232 rare CF variants. Our results show that VX-121 generally enhances CF variant expression more than VX-445 and is most potent towards variants with mutations in the first membrane spanning domain (MSD1). However, we identify one variant (Y1032C) with diminished proteostatic and functional selectivity for VX-121 relative to VX-445. Computational docking suggests that the native Y1032 side chain forms favorable interactions with VX-121 that are disrupted by this mutation in a manner that alters its coordination. Finally, using photo-crosslinking, we show that VX-121 avoids a key off-target interaction of VX-445. Together, our findings provide new insights into the similarities and differences between current approved CF therapeutics.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 6%
10.1%
2
Journal of Cystic Fibrosis
15 papers in training set
Top 0.1%
6.4%
3
Molecular Therapy
71 papers in training set
Top 0.4%
4.9%
4
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 16%
4.6%
5
Journal of Chemical Information and Modeling
207 papers in training set
Top 1%
4.3%
6
Nature Communications
4913 papers in training set
Top 40%
3.6%
7
Frontiers in Pharmacology
100 papers in training set
Top 1.0%
3.3%
8
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.2%
2.9%
9
eLife
5422 papers in training set
Top 31%
2.7%
10
PLOS ONE
4510 papers in training set
Top 44%
2.6%
11
Human Genetics and Genomics Advances
70 papers in training set
Top 0.2%
2.6%
12
Journal of Biological Chemistry
641 papers in training set
Top 1.0%
2.5%
50% of probability mass above
13
Journal of Controlled Release
39 papers in training set
Top 0.4%
2.1%
14
Angewandte Chemie International Edition
81 papers in training set
Top 2%
2.1%
15
ACS Omega
90 papers in training set
Top 1%
1.9%
16
Science Advances
1098 papers in training set
Top 16%
1.8%
17
European Respiratory Journal
54 papers in training set
Top 0.8%
1.8%
18
Molecular Pharmaceutics
16 papers in training set
Top 0.2%
1.8%
19
Biophysical Journal
545 papers in training set
Top 3%
1.7%
20
Chemical Science
71 papers in training set
Top 1%
1.3%
21
PLOS Computational Biology
1633 papers in training set
Top 18%
1.3%
22
Journal of Molecular Biology
217 papers in training set
Top 2%
1.3%
23
ACS Chemical Biology
150 papers in training set
Top 1%
1.2%
24
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.2%
25
Communications Biology
886 papers in training set
Top 14%
1.2%
26
Advanced Science
249 papers in training set
Top 15%
1.1%
27
Computational and Structural Biotechnology Journal
216 papers in training set
Top 8%
0.9%
28
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.7%
0.8%
29
ACS Infectious Diseases
74 papers in training set
Top 1%
0.8%
30
Stem Cell Reports
118 papers in training set
Top 1.0%
0.7%