Macrocyclic peptides
are the prevalent way to mimic interface
helices
for disruption of protein interactions, but current strategies to
do this via synthetic C-cap mimics are underdeveloped
and suboptimal. Bioinformatic studies described here were undertaken
to better understand Schellman loops, the most common C-caps in proteins, to design superior synthetic mimics. An algorithm
(Schellman Loop Finder) was developed, and data mining with this led
to the discovery that these secondary structures are often stabilized
by combinations of three hydrophobic side chains, most frequently
from Leu, to form hydrophobic triangles. That insight
facilitated design of synthetic mimics, bicyclic Schellman loop mimics
(BSMs), where the hydrophobic triumvirate was replaced by 1,3,5-trimethylbenzene.
We demonstrate that BSMs can be made quickly and efficiently, and
are more rigid and helix-inducing than the best current C-cap mimics, which are rare and all monocycles.