606274 Hierarchical Assembly of Peptoids into Complex Nanostructures

Wednesday, November 18, 2020
Computational Molecular Science and Engineering Forum (21) (Poster Gallery)
Sarah Alamdari and Jim Pfaendtner, Chemical Engineering, University of Washington, Seattle, WA

Peptoids are complex and diverse oligomeric structures which have been explored for a number of applications including drug molecules, surfactants of catalysts.1-2 In contrast to their amino-acid composed peptide counterparts they are highly flexible and diverse, spanning a large design space of chemical and structural functionality through the careful tuning of their side chains. One novel example of this is the N-substituted α-chiral, aromatic side chains oligomers which can produce stable helical structures in both aqueous and non-aqueous solutions.3 These oligomers have been shown to have the capacity to assemble into more complex hierarchical assemblies like microspheres, nanosheets, and dynamic single-walled nanotube structures.4 However, little is known about the mechanisms of these assemblies. Molecular dynamics provide an opportunity to understand this dynamic behavior at an atomistic-level of detail. Here we present our extension of the MFTOID peptoid forcefield5 to investigate the mechanisms that give rise to these unique complex assemblies.

[1] Dohm MT, Kapoor R, Barron AE. Peptoids: Bio-Inspired Polymers as Potential Pharmaceuticals. Curr. Pharm. 2011, 47 (17), 2732

[2] Maayan G, Ward MD, Kirshenbaum K. Folded biomimetic oligomers for enantioselective catalysis. Proc Natl Acad Sci 2019, 106(33):13679-84

[3] Wu C, Sanborn S, Huang K, Zuckermann RN, Barron AE. Peptoid Oligomers with α-Chiral, Aromatic Side Chains: Sequence Requirements for the Formation of Stable Peptoid Helices. J. Am. Chem. Soc. 2001, 123, 28, 6778-6784

[4] Weiser LJ, Santiso EE, Molecular modeling studies of peptoid polymers. AIMS Materials Science, 2017 4(5): 1029-1051.

[5] Mirijanian DT, Mannige RV, Zuckermann RN, et al. Development and use of an atomistic CHARMM-based forcefield for peptoid simulation. J Comput Chem. 2014. 35: 360–370


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