Designing novel adenine clamp-CD73 mutants delineating surface expression and enzyme activity through in silico and in vitro engineering

NT5E, a 5' Ectonucleotidase, is an emerging hotspot for cancer immunotherapies. However, available enzymatic inhibitors have shown limited promise, indicating activity-independent roles. Delineating activity-dependent and independent roles of this protein with precision requisites identification of critical residues impacting activity without hampering surface expression/stability. Conserved Phenylalanine (F) at 417 and 500 positions, which form a π stack with substrate-AMP, was chosen as the region of interest for in silico mutagenesis. F417 and F500 were mutated to Valine (V) individually using Missense3D to obviate broad structural damage. CD73-F417V/F500V dual mutant was then subjected to Molecular Dynamics simulations for prediction of stability and structural variations in the protein over time in comparison to wild-type crystal structure. Gibbs Free energy indicated a significant decrease in ligand binding affinity of CD73-F417V/F500V. RMSD and RMSF analysis of MD trajectories indicated increased mobility, suggesting weaker ligand binding affinity within the catalytic site of the mutant potentially impacting functional dynamics and protein-ligand contacts. Overexpression of CD73-F417V/F500V mutant in CD73 null-HEKs indicated stable surface expression but complete loss of Ecto-nucleotidase activity, thus providing a tool to dissect activity-dependent and independent functions of NT5E.

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Publication Details

Journal
Scientific Reports
Published
2026-07-16
DOI
https://doi.org/10.1038/s41598-026-62585-1
Primary Topic
Carbohydrate Chemistry and Synthesis
Type
article
Field-Weighted Citation Impact
0.00

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article

Designing novel adenine clamp-CD73 mutants delineating surface expression and enzyme activity through in silico and in vitro engineering

Anujith Kumar, Govind Mohan, S. Jyothi Prasanna, Anaswara S. Padmam
Scientific Reports
Carbohydrate Chemistry and Synthesis
article

Designing novel adenine clamp-CD73 mutants delineating surface expression and enzyme activity through in silico and in vitro engineering

Anujith Kumar, Govind Mohan, S. Jyothi Prasanna, Anaswara S. Padmam
article en

Abstract

NT5E, a 5' Ectonucleotidase, is an emerging hotspot for cancer immunotherapies. However, available enzymatic inhibitors have shown limited promise, indicating activity-independent roles. Delineating activity-dependent and independent roles of this protein with precision requisites identification of critical residues impacting activity without hampering surface expression/stability. Conserved Phenylalanine (F) at 417 and 500 positions, which form a π stack with substrate-AMP, was chosen as the region of interest for in silico mutagenesis. F417 and F500 were mutated to Valine (V) individually using Missense3D to obviate broad structural damage. CD73-F417V/F500V dual mutant was then subjected to Molecular Dynamics simulations for prediction of stability and structural variations in the protein over time in comparison to wild-type crystal structure. Gibbs Free energy indicated a significant decrease in ligand binding affinity of CD73-F417V/F500V. RMSD and RMSF analysis of MD trajectories indicated increased mobility, suggesting weaker ligand binding affinity within the catalytic site of the mutant potentially impacting functional dynamics and protein-ligand contacts. Overexpression of CD73-F417V/F500V mutant in CD73 null-HEKs indicated stable surface expression but complete loss of Ecto-nucleotidase activity, thus providing a tool to dissect activity-dependent and independent functions of NT5E.

Scientific Reports
Manipal Academy of Higher Education (IN)
Department of Science and Technology, Ministry of Science and Technology, India, Indian Council of Medical Research
Openalex Percentile: Top 16%
Carbohydrate Chemistry and Synthesis
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Designing novel adenine clamp-CD73 mutants delineating surface expression and enzyme activity through in silico and in vitro engineering — Anujith Kumar, Govind Mohan, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS