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Molecular Dynamics-Ensemble Docking and Biophysical Studies for Structure-Based Identification of Non-Amino Acidic Ligands of DDAH-1.

Carlo BigiottiElisa BianconiLuana RutaSilvia GrottelliAlice ColettiMirco DindoAndrea CarottiBarbara CelliniAntonio Macchiarulo
Published in: Journal of chemical information and modeling (2024)
Dimethylarginine dimethylaminohydrolase-1 (DDAH-1) accounts for the catabolism of the endogenous inhibitors of nitric oxide (NO) synthases, namely, ADMA ( N ω , N ω -dimethyl-l-arginine) and NMMA ( N ω -monomethyl-l-arginine). Inhibition of DDAH-1 may prove a therapeutic benefit in diseases associated with elevated nitric oxide (NO) levels by providing a tissue-specific increase of ADMA and NMMA. In this work, we have used molecular dynamics to generate a pool of DDAH-1 conformations in the apo and holo forms. Ensemble docking has been instrumental in screening an in-house fragment-based library of 824 compounds. Resulting virtual hits have been validated for their binding activity to recombinant human DDAH-1 using microscale thermophoresis (MST). As a key result, three non-amino acidic ligands of DDAH-1 (VIS212, VIS268, VIS726) are identified with higher binding efficiency index than ADMA. Amid these compounds, purpurogallin (VIS726) proves a potent ligand of DDAH-1, showing a mixed behavior of enzymatic inhibition in a biochemical assay. This finding widens the panel of known molecular targets of purpurogallin and provides clues into the molecular mechanisms of its cellular NO inhibition activity as well as its anti-inflammatory and neuroprotective effects.
Keyphrases
  • molecular dynamics
  • nitric oxide
  • density functional theory
  • hydrogen peroxide
  • anti inflammatory
  • recombinant human
  • nitric oxide synthase
  • convolutional neural network
  • deep learning
  • machine learning