Leveraging Deep Learning and MD Simulations to Decipher the Molecular Basis of Attenuated Activity in Glycocin F

The escalating crisis of multi–drug resistant bacteria demand a new generation of antibiotics. GccF, a potent bacteriocin, is a promising candidate, but its function hinges on unique post–translational glycosylation. Intriguingly, a seemingly minor chemical tweak of α – methylation at Ser18 of GccF destroys its activity, reducing potency by 1000 – fold. To quantify how this subtle chemical change leads to profound functional compromise, we used an advanced molecular dynamics framework guided by Variational Autoencoder to unravel GccF′s complex dynamics. Our findings reveal that native glycosylation provides crucial rigidity, locking the peptide into a stable, functional shape. In stark contrast, α – methylation introduces unintended flexibility, compromising the peptide′s ability to adopt its active conformation, indicating that the precise positioning and presentation of the glycan moiety are critical for GccF′s function. This work provides a critical blueprint for the rational design of next generation antibiotics, demonstrating how precise chemical modifications can dictate a peptide′s function by profoundly altering its structural dynamics.