Targeting the Motor Protein Cagβ Blocks Oncoprotein CagA-induced Host Inflammation in Helicobacter pylori: An in silico Analysis

Authors

Shubhangi Majumder

Department of Bioscience, JIS University (India)

Sanjib Das

Department of Molecular Biology and Biotechnology, University of Kalyani (India)

Amalesh Mondal

Department of Molecular Biology and Biotechnology, University of Kalyani; Department of Physiology, Katwa College, Katwa, Purba Bardhaman, West Bengal, 713130 (India)

Tanima Saha

Department of Molecular Biology and Biotechnology, University of Kalyani (India)

Article Information

DOI: 10.51244/IJRSI.2026.1307000394

Subject Category: Microbiology

Volume/Issue: 13/7 | Page No: 5363-5371

Publication Timeline

Submitted: 2026-08-07

Accepted: 2026-08-13

Published: 2026-08-20

Abstract

Helicobacter pylori is a common gut microbiota, responsible for severe gastritis, peptic ulcer disease and an increased risk of gastric cancer. The Cag pathogenicity island helps H. pylori cause disease by forming a molecular syringe to attack host cells that transfer the CagA oncoprotein into the gastric cells. Once inside the host cell, Cag A modifies multiple signalling pathways, leading to major alterations and even malignancy. Cagβ, the coupling protein of T4SS, plays a significant role in detecting and carrying CagA through an ATP- dependent mechanism. As Cagβ functions like a molecular motor of the secretion system, targeting this particular protein may provide a way to prevent CagA delivery. This study aims to model the 3D structure of Cagβ motor protein and identify repurposed drugs capable of inhibiting its activity through molecular docking studies. Venetoclax was found one of the most promising drug, having binding affinity of -11.6 Kcal/mol with expected structural stability via interaction with SER301, MET297, GLY309 and LEU249 residue. Blocking Cagβ regulated activity may block the CagA delivery into host cells, subsequently reducing downstream inflammatory signalling pathways and limiting the further pathogenesis of H. pylori infection.

Keywords

Helicobacter pylori, Cagβ, Cag A, Type IV Secretion System (or T4SS)

Downloads

References

1. Bateman, Alex, et al. “UniProt: The Universal Protein Knowledgebase in 2023.” Nucleic Acids Research, vol. 51, no. D1, 2023, https://doi.org/10.1093/nar/gkac1052. [Google Scholar] [Crossref]

2. Benkert, Pascal, et al. “Toward the Estimation of the Absolute Quality of Individual Protein Structure Models.” Bioinformatics, vol. 27, no. 3, 2011, https://doi.org/10.1093/bioinformatics/btq662. [Google Scholar] [Crossref]

3. Bissantz, Caterina, et al. “A Medicinal Chemist’s Guide to Molecular Interactions.” Journal of Medicinal Chemistry, vol. 53, no. 14, 2010, https://doi.org/10.1021/jm100112j. [Google Scholar] [Crossref]

4. Bowie, James U., et al. “A Method to Identify Protein Sequences That Fold into a Known Three-Dimensional Structure.” Science, vol. 253, no. 5016, 1991, https://doi.org/10.1126/science.1853201. [Google Scholar] [Crossref]

5. Colovos, Chris, and Todd O. Yeates. “Verification of Protein Structures: Patterns of Nonbonded Atomic Interactions.” Protein Science, 1993, https://doi.org/10.1002/pro.5560020916. [Google Scholar] [Crossref]

6. Correa, Pelayo, and Jean Marie Houghton. “Carcinogenesis of Helicobacter Pylori.” Gastroenterology, vol. 133, no. 2, 2007, https://doi.org/10.1053/j.gastro.2007.06.026. [Google Scholar] [Crossref]

7. DeLano, W. L. “The PyMOL Molecular Graphics System, Version 2.3.” Schrödinger LLC, 2020. [Google Scholar] [Crossref]

8. Gan, Jian hong, et al. “DrugRep: An Automatic Virtual Screening Server for Drug Repurposing.” Acta Pharmacologica Sinica, 2023, https://doi.org/10.1038/s41401-022-00996-2. [Google Scholar] [Crossref]

9. Guevara, Bernardo, and Asha Gupta Cogdill. “Helicobacter Pylori: A Review of Current Diagnostic and Management Strategies.” Digestive Diseases and Sciences, vol. 65, no. 7, 2020, https://doi.org/10.1007/s10620-020-06193-7. [Google Scholar] [Crossref]

10. Hooft, R. W. W., et al. “Errors in Protein Structures [3].” Nature, vol. 381, no. 6580, 1996, https://doi.org/10.1038/381272a0. [Google Scholar] [Crossref]

11. Hooi, James K. Y., et al. “Global Prevalence of Helicobacter Pylori Infection: Systematic Review and Meta-Analysis.” Gastroenterology, vol. 153, no. 2, 2017, https://doi.org/10.1053/j.gastro.2017.04.022. [Google Scholar] [Crossref]

12. IARC. “Schistosomes, Liver Flukes and Helicobacter Pylori.” Iarc Monographs on the Evaluation of Carcinogenic Risks To Humans, vol. 61, 1994. [Google Scholar] [Crossref]

13. Oleg, Trott, and Olson Arthur J. “AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization, and Multithreading.” Journal of Computational Chemistry, 2010, https://doi.org/10.1002/jcc. [Google Scholar] [Crossref]

14. Ramachandran, G. N., et al. “Stereochemistry of Polypeptide Chain Configurations.” Journal of Molecular Biology, vol. 7, no. 1, 1963, https://doi.org/10.1016/S0022-2836(63)80023-6. [Google Scholar] [Crossref]

15. Souers, Andrew J., et al. “ABT-199, a Potent and Selective BCL-2 Inhibitor, Achieves Antitumor Activity While Sparing Platelets.” Nature Medicine, vol. 19, no. 2, 2013, https://doi.org/10.1038/nm.3048. [Google Scholar] [Crossref]

16. Sung, Hyuna, et al. “Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.” CA: A Cancer Journal for Clinicians, vol. 71, no. 3, 2021, https://doi.org/10.3322/caac.21660. [Google Scholar] [Crossref]

17. Tegtmeyer, Nicole, et al. “Role of the Cag-Pathogenicity Island Encoded Type IV Secretion System in Helicobacter Pylori Pathogenesis.” FEBS Journal, vol. 278, no. 8, 2011, https://doi.org/10.1111/j.1742-4658.2011.08035.x. [Google Scholar] [Crossref]

18. Tohidpour, Abolghasem. “CagA-Mediated Pathogenesis of Helicobacter Pylori.” Microbial Pathogenesis, vol. 93, 2016, https://doi.org/10.1016/j.micpath.2016.01.005. [Google Scholar] [Crossref]

19. Waterhouse, Andrew, et al. “SWISS-MODEL: Homology Modelling of Protein Structures and Complexes.” Nucleic Acids Research, 2018, https://doi.org/10.1093/nar/gky427. [Google Scholar] [Crossref]

20. Wiederstein, Markus, and Manfred J. Sippl. “ProSA-Web: Interactive Web Service for the Recognition of Errors in Three-Dimensional Structures of Proteins.” Nucleic Acids Research, 2007, https://doi.org/10.1093/nar/gkm290. [Google Scholar] [Crossref]

21. Wu, Xiuling, et al. “Mechanism of Regulation of the Helicobacter Pylori Cagβ ATPase by CagZ.” Nature Communications , vol. 14, no. 1, 2023, https://doi.org/10.1038/s41467-023-36218-4. [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles