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MedChemExpress compounds prevent neuraminidase N1 via physics- and knowledge-based methods.

Quynh Mai ThaiTrung Hai NguyenHuong Thi Thu PhungPham Minh QuanNguyen Kim Tuyen PhamJim-Tong HorngSon Tung Ngo
Published in: RSC advances (2024)
Influenza A viruses spread out worldwide, causing several global concerns. Hence, discovering neuraminidase inhibitors to prevent the influenza A virus is of great interest. In this work, a machine learning model was employed to evaluate the ligand-binding affinity of ca. 10 000 compounds from the MedChemExpress (MCE) database for inhibiting neuraminidase. Atomistic simulations, including molecular docking and molecular dynamics simulations, then confirmed the ligand-binding affinity. Furthermore, we clarified the physical insights into the binding process of ligands to neuraminidase. It was found that five compounds, including micronomicin, didesmethyl cariprazine, argatroban, Kgp-IN-1, and AY 9944, are able to inhibit neuraminidase N1 of the influenza A virus. Ten residues, including Glu119, Asp151, Arg152, Trp179, Gln228, Glu277, Glu278, Arg293, Asn295, and Tyr402, may be very important in controlling the ligand-binding process to N1.
Keyphrases
  • molecular dynamics simulations
  • molecular docking
  • machine learning
  • healthcare
  • physical activity
  • signaling pathway
  • mental health
  • artificial intelligence
  • big data
  • protein kinase
  • dna binding
  • genetic diversity