Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Branching Suppresses Self-Aggregation while Preserving Membrane Association in SET-M33: An Atomistic Molecular Dynamics Study

Created on 14 Oct 2026

Authors

Satvati, S., Rigoli, M., Fortuna, S., Falciani, C., Pini, A., Rocchia, W.

Abstract

Branched antimicrobial peptides offer a promising strategy for improving the stability and activity of membrane-active peptides, but how branching alters self-association and membrane binding remains unclear. We used all-atom molecular dynamics simulations to compare tetra-branched SET-M33 with its linear branch sequence Q33 (KKIRVRLSA) in water and at an anionic bacterial-membrane model, to do this, systems containing equivalent numbers of Q33 sequence units were simulated. Q33 formed dimers and higher-order oligomers, particularly at the membrane interface and under hydration-tuned enhanced sampling. In contrast, SET-M33 remained more dispersed, as the branched scaffold and its high cationic charge limited peptide-peptide association while allowing multivalent membrane binding. Both architectures associated rapidly with the bilayer but remained predominantly surface-bound, without persistent pore formation or complete insertion. Q33 showed stronger membrane-induced helical stabilization, whereas SET-M33 retained a more heterogeneous conformational ensemble. Overall, branching primarily altered lateral peptide organization while preserving close membrane association, suppressing uncontrolled self-aggregation and providing an atomistic rationale for the distinct behavior of SET-M33 relative to Q33.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 14 Oct 2026.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 13
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement