Acute lung injury/acute respiratory
distress syndrome (ALI/ARDS)
is one of the most common complications in COVID-19. Elastase has
been recognized as an important target to prevent ALI/ARDS in the
patient of COVID-19. Cyclotheonellazole A (CTL-A) is a natural macrocyclic
peptide reported to be a potent elastase inhibitor. Herein, we completed
the first total synthesis of CTL-A in 24 linear steps. The key reactions
include three-component MAC reactions and two late-stage oxidations.
We also provided seven CTL-A analogues and elucidated preliminary
structure–activity relationships. The
in vivo
ALI mouse model further suggested that CTL-A alleviated acute lung
injury with reductions in lung edema and pathological deterioration,
which is better than sivelestat, one approved elastase inhibitor.
The activity of CTL-A against elastase, along with its cellular safety
and well-established synthetic route, warrants further investigation
of CTL-A as a candidate against COVID-19 pathogeneses.
Adenosine receptors (ARs) have been demonstrated to be potential therapeutic targets against Parkinson’s disease (PD). In the present study, we describe a multistage virtual screening approach that identifies dual adenosine A1 and A2A receptor antagonists using deep learning, pharmacophore models, and molecular docking methods. Nineteen hits from the ChemDiv library containing 1,178,506 compounds were selected and further tested by in vitro assays (cAMP functional assay and radioligand binding assay); of these hits, two compounds (C8 and C9) with 1,2,4-triazole scaffolds possessing the most potent binding affinity and antagonistic activity for A1/A2A ARs at the nanomolar level (pKi of 7.16–7.49 and pIC50 of 6.31–6.78) were identified. Further molecular dynamics (MD) simulations suggested similarly strong binding interactions of the complexes between the A1/A2A ARs and two compounds (C8 and C9). Notably, the 1,2,4-triazole derivatives (compounds C8 and C9) were identified as the most potent dual A1/A2A AR antagonists in our study and could serve as a basis for further development. The effective multistage screening approach developed in this study can be utilized to identify potent ligands for other drug targets.
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