Theoretical Investigation of the Green-Synthesized Carbon-Based Nanomaterial Potential as Inhibitors of ACE2 for Blocking SARS-CoV-2 Binding.
Harsiwi Candra SariHaliza Hasnia PutriPinantun Wiguna Kusuma PaksiGabriel HidayatSilmi Rahma AmeliaCitra Deliana Dewi SundariHeni RachmawatiAtthar Luqman IvansyahFahdzi MuttaqienFerry IskandarPublished in: ACS omega (2024)
Since the emergence of SARS-CoV-2 in 2020, the world has faced a global pandemic, emphasizing the urgent need for effective treatments to combat COVID-19. This study explores the use of green-synthesized carbon-based nanomaterials as potential inhibitors of ACE2, a critical receptor for SARS-CoV-2 entry into host cells. Specifically, the study examines four carbon-based nanomaterials, namely, CD1, CD2, CD3, and CD4 in amino, graphitic, pyridinic, and pyrrolic forms, respectively, synthesized from curcumin, to investigate their binding affinity with ACE2. Molecular docking studies revealed that CD3 (pyridinic form) exhibited the highest binding affinity with ACE2, surpassing that of the control compound, curcumin. Notably, CD3 formed hydrophobic interactions and hydrogen bonds with key ACE2 residues, suggesting its potential to block the binding of SARS-CoV-2 to human cells. Moreover, molecular dynamics simulations demonstrated the stability of these ligand-ACE2 complexes, further supporting the promise of CD3 as an inhibitor. Quantum chemical analyses, including frontier molecular orbitals, natural bond orbital analysis, and the quantum theory of atoms in molecules, unveiled valuable insights into the reactivity and interaction strengths of these ligands. CD3 exhibited desirable chemical properties, signifying its suitability for therapeutic development. The study's findings suggest that green-synthesized carbon-based nanomaterials, particularly CD3, have the potential to serve as effective inhibitors of ACE2, offering a promising avenue for the development of treatments against COVID-19. Further experimental validation is warranted to advance these findings and establish new therapies for the ongoing global pandemic.
Keyphrases
- sars cov
- angiotensin converting enzyme
- respiratory syndrome coronavirus
- molecular docking
- angiotensin ii
- molecular dynamics simulations
- coronavirus disease
- nk cells
- induced apoptosis
- mass spectrometry
- machine learning
- molecular dynamics
- dna binding
- climate change
- risk assessment
- endoplasmic reticulum stress
- deep learning
- cell cycle arrest
- artificial intelligence
- aqueous solution