References and Notes
  1. KUMAR, S. Rajesh, et al. An in vitro analysis of H1N1 viral inhibition using polymer coated superparamagnetic Fe3O4 nanoparticles. RSC Advances , 2014 , 4.26: 13409-13418.‏
  2. HAMEROFF, Stuart R. Ultimate computing: biomolecular consciousness and nanotechnology . Elsevier, 2014 .‏
  3. WANG, Dawei, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama , 2020 , 323.11: 1061-1069.‏
  4. LIN, Guozhen, et al. Community evidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission through air. Atmospheric Environment , 2021 , 246: 118083.‏
  5. REDDY, L. Harivardhan, et al. Magnetic nanoparticles: design and characterization, toxicity and biocompatibility, pharmaceutical and biomedical applications. Chemical reviews , 2012 , 112.11: 5818-5878.‏
  6. AHMADI, Shideh, et al. Synthesis of Fe3O4 nanocrystals using hydrothermal approach. Journal of Magnetism and Magnetic Materials , 2012 , 324.24: 4147-4150.‏
  7. LIAO, Yetong, et al. Magnetite nanoparticle-supported coordination polymer nanofibers: synthesis and catalytic application in Suzuki-Miyaura coupling. ACS Applied Materials & Interfaces ,2010 , 2.8: 2333-2338.‏
  8. RAHMAN, Md Mahbubor, et al. Highly temperature responsive core–shell magnetic particles: synthesis, characterization and colloidal properties. Journal of colloid and interface science ,2011 , 360.2: 556-564.‏
  9. BHARATHALA, Subhashini, et al. In silico and experimental studies of bovine serum albumin-encapsulated carbenoxolone nanoparticles with reduced cytotoxicity. Colloids and Surfaces B: Biointerfaces ,2021 , 202: 111670.‏
  10. GRONT, Dominik, et al. Optimization of protein models. Wiley Interdisciplinary Reviews: Computational Molecular Science ,2012 , 2.3: 479-493.‏
  11. FAROUQ, Mohammed AH, et al. Biomolecular interactions with nanoparticles: applications for coronavirus disease 2019. Current opinion in colloid & interface science ,2021 , 54: 101461.‏
  12. LAN, Jun, et al. Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature , 2020 , 581.7807: 215-220.‏
  13. SHIRMOHAMMADI, Nima, et al. Formulation of new intelligent nanoparticle inhibited H1N1 influenza subtype and SARS coronavirus type 2 (COVID-19) in vitro. Biomedical and Biotechnology Research Journal (BBRJ) , 2021 , 5.4: 389.‏GRAPHICAL ABSTRACT
Arefeh Khodaee, Nima Shirmohammadi, Reza Aghanouri
A 3D view of ACE-2 bound with candidate drugs
Ligand – receptor interactions are the most important interactions for drug effectiveness. In order to estimate the effectiveness of designed drugs, scientist can use a computational process called docking .in this work, interactions between designed drugs and the receptors in body (ACE2) is estimated by docking with different docking servers. You can see a 3D picture of ACE-2 (as the receptor) bound with candidate drugs (as the Ligand) in graphical abstract. The ligands are bound with their receptor as a complex.