Trainee Research Highlights
Hear about the latest hot papers in the peptoid field directly from the voices of students and post-docs who’ve done the work themselves. Check out these 1-page research summaries to see the amazing things they have accomplished!
Do you have a peptoid paper coming out that you’d like to see featured here? We’d love to hear about it! Send us a copy of the paper: icap@peptoids.org.
Learn more about peptoids at the 13th Peptoid Summit this August 5-7th, 2026 in Berkeley CA!
Yanyu Zhu from the Weisshaar Lab (U. Wisconsin, Madison) and the Barron Lab (Stanford) discusses his paper in Proceedings of the National Academy of Sciences on the intracellular crosslinking mechanism of action of antimicrobial peptoids.
Jiaxin Wang from the Zhao Lab at the University of Alabama, discusses her paper in the Journal of Chemical Theory and Computation on improved methods for the coarse-grained modeling of peptoid polymers, enabling the study of nanoscale assembly behavior in complex systems.
Matthew Seraydarian from the Kirshenbaum Lab at New York University shares his paper in Biochemistry on a method for the native chemical ligation of peptoid oligmers to create a series of nano sheet-forming peptoid sequences.
Yen Jea Lee from the Abel and Zuckermann labs at Lawrence Berkeley National Lab and UC Berkeley shares his paper in the Journal of the American Chemical Society on peptoid binary superlattices stabilized by the precision placement of polar-pi interactions into the nanosheet lattice.
Yiyu Gong from the Sun lab at Jilin University in China shares her paper in Advanced Materials on peptoid polymer that forms nanovesicles that can target, deliver and release antimicrobial agents in lung and skin mouse models.
Brittany Prempin and Rajarshi Samajdar from the Schroeder lab at Princeton University and University of Illinois, Champaign-Urbana share their paper in the Journal of Physical Chemistry B on single-molecule electron transport in peptoids.
Alex Berlaga, graduate student in the Ferguson lab at University of Chicago, shares his paper in Macromolecular Rapid Communications on designing stable peptoid collagen mimetic using machine learning.