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  1. Shahab M, Iqbal MW, Ahmad A, Alshabrmi FM, Wei DQ, Khan A, et al.
    Comput Biol Med, 2024 Mar;170:108056.
    PMID: 38301512 DOI: 10.1016/j.compbiomed.2024.108056
    The Nipah virus (NPV) is a highly lethal virus, known for its significant fatality rate. The virus initially originated in Malaysia in 1998 and later led to outbreaks in nearby countries such as Bangladesh, Singapore, and India. Currently, there are no specific vaccines available for this virus. The current work employed the reverse vaccinology method to conduct a comprehensive analysis of the entire proteome of the NPV virus. The aim was to identify and choose the most promising antigenic proteins that could serve as potential candidates for vaccine development. We have also designed B and T cell epitopes-based vaccine candidate using immunoinformatics approach. We have identified a total of 5 novel Cytotoxic T Lymphocytes (CTL), 5 Helper T Lymphocytes (HTL), and 6 linear B-cell potential antigenic epitopes which are novel and can be used for further vaccine development against Nipah virus. Then we performed the physicochemical properties, antigenic, immunogenic and allergenicity prediction of the designed vaccine candidate against NPV. Further, Computational analysis indicated that these epitopes possessed highly antigenic properties and were capable of interacting with immune receptors. The designed vaccine were then docked with the human immune receptors, namely TLR-2 and TLR-4 showed robust interaction with the immune receptor. Molecular dynamics simulations demonstrated robust binding and good dynamics. After numerous dosages at varied intervals, computational immune response modeling showed that the immunogenic construct might elicit a significant immune response. In conclusion, the immunogenic construct shows promise in providing protection against NPV, However, further experimental validation is required before moving to clinical trials.
  2. Khan A, Sayaf AM, Mohammad A, Alshabrmi FM, Benameur T, Wei DQ, et al.
    J Infect Public Health, 2025 Feb;18(2):102636.
    PMID: 39798213 DOI: 10.1016/j.jiph.2024.102636
    INTRODUCTION: Ebola virus (EBOV) is a highly lethal RNA virus that causes severe hemorrhagic fever in humans and non-human primates. The lack of effective treatment or vaccine for this pathogen poses a serious threat to a global pandemic. Therefore, it is imperative to explore new drugs and therapies to combat this life-threatening infection.

    MATERIALS AND METHODS: In this study, we employed in silico methods to assess the inhibitory activity of natural products from traditional Chinese medicine (TCM) against four EBOV proteins that are crucial for viral replication and assembly: VP40, VP35, VP30, and VP24. We performed molecular docking of TCM compounds with the EBOV proteins and screened them based on their docking scores, binding free energies, and pharmacokinetic properties.

    RESULTS: Our results pinpointed eight TCM compounds (TCM1797, TCM2872, TCM250, TCM2837, TCM2644, TCM4697, TCM2322, and TCM277) that exhibited superior efficacy in inhibiting all the EBOV proteins compared to the controls. These compounds interacted with key residues of the EBOV proteins through various types of bonds, such as hydrogen bonds, salt bridges, and π-π interactions, forming stable complexes that could disrupt the function of the EBOV proteins. These compounds were found to possess known antiviral activity, acceptable pharmacokinetic properties, and human usage history, which make them promising candidates for anti-EBOV drug development. Moreover, the molecular simulation analysis confirmed the binding stability, structural compactness, and residue flexibility properties of these compounds. Furthermore, the binding free energy results revealed that VP30-TCM2644, VP30-TCM4697, VP35-TCM2837, VP24-TCM250, and VP24-TCM277 complexes exhibit significant binding free energy values compared to the control ligands. Principal Component Analysis (PCA) and Free Energy Landscape (FEL) results revealed the trajectories' motion and conformational energy states.

    CONCLUSIONS: Our findings provide valuable insights into the molecular mechanisms driving the efficacy of TCM drugs against EBOV and suggest novel approaches for the development of anti-EBOV therapies.

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