Extraction of molecular features for the drug discovery targeting protein‐protein interaction of Helicobacter pylori CagA and tumor suppressor protein ASSP2. Issue 10 (13th June 2019)

• Record Type: Journal Article
• Authors: Junaid, Muhammad; Li, Cheng‐Dong; Shah, Masaud; Khan, Abbas; Guo, Haoyue; Wei, Dong‐Qing
• Is Part Of: Proteins. Volume 87:Issue 10(2019)
• Page Start: 837
• Page End: 849
• Publication Date: 2019-06-13
• Subjects: alanine mutagenesis -- ASPP2 -- CagA -- Helicobacter pylori -- MD simulation -- MMGBSA -- pharmacophore modeling; Proteins -- Periodicals; Proteins -- Periodicals; 572.6
• DOI: 10.1002/prot.25748
• Languages: English
• ISSNs: 0887-3585

Abstract

Abstract: Half of the world population is infected by the Gram‐negative bacterium Helicobacter pylori ( H. pylori ). It colonizes in the stomach and is associated with severe gastric pathologies including gastric cancer and peptic ulceration. The most virulent factor of H. pylori is the cytotoxin‐associated gene A (CagA) that is injected into the host cell. CagA interacts with several host proteins and alters their function, thereby causing several diseases. The most well‐known target of CagA is the tumor suppressor protein ASPP2. The subdomain I at the N‐terminus of CagA interacts with the proline‐rich motif of ASPP2. Here, in this study, we carried out alanine scanning mutagenesis and an extensive molecular dynamics simulation summing up to 3.8 μs to find out hot spot residues and discovered some new protein‐protein interaction (PPI)‐modulating molecules. Our findings are in line with previous biochemical studies and further suggested new residues that are crucial for binding. The alanine scanning showed that mutation of Y207 and T211 residues to alanine decreased the binding affinity. Likewise, dynamics simulation and molecular mechanics with generalized Born surface area (MMGBSA) analysis also showed the importance of these two residues at the interface. A four‐feature pharmacophore model was developed based on these two residues, and top 10 molecules were filtered from ZINC, NCI, and ChEMBL databases. The good binding affinity of the CHEMBL17319 and CHEMBL1183979 molecules shows the reliability of our adopted protocol for binding hot spot residues. We believe that our study provides a new insight for using CagA as the therapeutic target for gastric cancer treatment and provides a platform for a future experimental study.