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- Molecular Simulation and Modeling of Complex Molecules II
- (144e) Developing Peptoid Models Using Atomistic Simulations
This project uses atomistic simulations to investigate the relationship between peptoid side-chains and the peptoid backbone secondary structure. We use force-field parameters from the Generalized CHARMM Force Field (GCFF), fitting missing parameters using ab initio calculations as needed. Using this peptoid-specific force-field, we generate Ramachandran-type probability plots describing the dihedrals of the peptoid backbone. We find such plots for a variety of peptoid side chains, and compare their distributions to experimentally documented peptoid structures.
These atomistic simulations will serve as a starting point in developing predictive coarse-grained models for the combinatorial design of more complex peptoid sequences.
References:
[1] J. Seo, B. Lee, Z. R. N. P. Synthesis, N. I. P. Ducheyne, K. E. Healy, D. W. Hutmacher, D. W. Grainger, C. J. Kirkpatrick, and C. Biomaterials, “Peptoids: Synthesis, Characterization, and Nanostructures,” Comprehensive Biomaterials, vol. 2, pp. 53–76, 2011.
[2] K. T. Nam, S. a Shelby, P. H. Choi, A. B. Marciel, R. Chen, L. Tan, T. K. Chu, R. a Mesch, B.-C. Lee, M. D. Connolly, C. Kisielowski, and R. N. Zuckermann, “Free-floating ultrathin two-dimensional crystals from sequence-specific peptoid polymers.,” Nature materials, vol. 9, no. 5, pp. 454–60, May 2010.
[3] R. N. Zuckerman, S. B. H. Kent, and W. H. Moost, “Efficient Method for the Preparation of Peptoids [Oligo(N-substituted glycines)],” no. 6, pp. 10646–10647, 1992.