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  1. Jeevanandam J, Pal K, Danquah MK
    Biochimie, 2019 Feb;157:38-47.
    PMID: 30408502 DOI: 10.1016/j.biochi.2018.11.001
    Viruses are considered as natural nanomaterials as they are in the size range of 20-500 nm with a genetical material either DNA or RNA, which is surrounded by a protein coat capsid. Recently, the field of virus nanotechnology is gaining significant attention from researchers. Attention is given to the utilization of viruses as nanomaterials for medical, biotechnology and energy applications. Removal of genetic material from the viral capsid creates empty capsid for drug incorporation and coating the capsid protein crystals with antibodies, enzymes or aptamers will enhance their targeted drug deliver efficiency. Studies reported that these virus-like nanoparticles have been used in delivering drugs for cancer. It is also used in imaging and sensory applications for various diseases. However, there is reservation among researchers to utilize virus-like nanoparticles in targeted delivery of genes in gene therapy, as there is a possibility of using virus-like nanoparticles for targeted gene delivery. In addition, other biomedical applications that are explored using virus-like nanoparticles and the probable mechanism of delivering genes.
  2. Debroy B, De A, Bhattacharya S, Pal K
    J Ayurveda Integr Med, 2023 Dec 03;14(6):100825.
    PMID: 38048723 DOI: 10.1016/j.jaim.2023.100825
    BACKGROUND: The first emergence of the Nipah virus (NiV) in 1998 from Malaysia became a major concern when it came to light and resurfaced on different occasions thereafter. NiV is a bat-borne zoonotic and pleomorphic virus that causes severe infection in human and animal hosts. Studies revealed fruit bats are the major reservoirs as natural hosts and pigs as intermediate hosts for the spread of this infection. This became a major concern as the disease was characterized by high pathogenicity varying from 40% to 80% depending on its acuteness. Moreover, the solemnity lies in the fact that the infection transcends from being a mere mild illness to an acute respiratory infection leading to fatal encephalitis with a reportedly high mortality rate. Currently, there is no treatment or vaccine available against the NiV. Many antiviral drugs have been explored and developed but with limited efficacy.

    METHODOLOGY: In search of high-affinity ayurvedic alternatives, we conducted a pan-proteome in silico exploration of the NiV proteins for their interaction with the best-suited phytoconstituents. The toxicity prediction of thirty phytochemicals based on their LD50 value identified thirteen potential candidates. Molecular docking studies of those thirteen phytochemicals with five important NiV proteins identified Tanshinone I as the potential compound with a high binding affinity.

    RESULTS: The pharmacokinetics and pharmacodynamics studies also aided in determining the absorption, distribution, metabolism, excretion, and toxicity of the selected phytoconstituent. Interestingly, docking studies also revealed Rosmariquinone as a potent alternative to the antiviral drug Remdesivir binding the same pocket of RNA-dependent RNA polymerase of the NiV. A molecular dynamics simulation study of the surface glycoprotein of NiV against Tanshinone I showed a stable complex formation and significant allosteric changes in the protein structure, implying that these phytochemicals could be a natural alternative to synthetic drugs against NiV.

    CONCLUSION: This study provides preliminary evidence based on in silico analysis that the herbal molecules showed an effect against NiV. However, it is essential to further evaluate the efficacy of this approach through cell-based experiments, organoid models, and eventually clinical trials.

  3. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Nov 08;133(19):191902.
    PMID: 39576923 DOI: 10.1103/PhysRevLett.133.191902
    The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics. With no observed excess of events over the standard model expectation, limits are set on the cross section for production via gluon fusion of a scalar mediator with SUEP-like decays.
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