Affiliations 

  • 1 Centre for Bioinformatics, School of Data Sciences, Perdana University, Selangor Darul Ehsan, Malaysia; Department of Biochemistry, Faculty of Science, Kaduna State University, 800211, Kaduna, Nigeria. Electronic address: gwatiyap@kasu.edu.ng
  • 2 Centre for Bioinformatics, School of Data Sciences, Perdana University, Selangor Darul Ehsan, Malaysia. Electronic address: waikeat.yam@perdanauniversity.edu.my
Comput Biol Chem, 2021 Jun;92:107499.
PMID: 33932782 DOI: 10.1016/j.compbiolchem.2021.107499

Abstract

Rhinoviruses (RV), especially Human rhinovirus (HRVs) have been accepted as the most common cause for upper respiratory tract infections (URTIs). Pleconaril, a broad spectrum anti-rhinoviral compound, has been used as a drug of choice for URTIs for over a decade. Unfortunately, for various complications associated with this drug, it was rejected, and a replacement is highly desirable. In silico screening and prediction methods such as sub-structure search and molecular docking have been widely used to identify alternative compounds. In our study, we have utilised sub-structure search to narrow down our quest in finding relevant chemical compounds. Molecular docking studies were then used to study their binding interaction at the molecular level. Interestingly, we have identified 3 residues that is worth further investigation in upcoming molecular dynamics simulation systems of their contribution in stable interaction.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.