Molecular modeling studies of peptoid polymers

Laura J. Weiser; Erik E. Santiso; Laura J. Weiser; Erik E. Santiso

doi:10.3934/matersci.2017.5.1029

AIMS Materials Science

2017, Volume 4, Issue 5: 1029-1051. doi: 10.3934/matersci.2017.5.1029

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Review Topical Sections

Molecular modeling studies of peptoid polymers

Laura J. Weiser ,
Erik E. Santiso ^,

Department of Chemical and Biomolecular Engineering, NC State University, Campus Box 7905, Raleigh, NC 27695-7905, United States

Received: 05 June 2017 Accepted: 25 July 2017 Published: 12 September 2017

Peptoids, or poly-N-substituted glycines, are synthetic polymers composed of a protein backbone with side chains attached to the nitrogen atoms rather than the α-carbons. Peptoids are biomimetic and protease resistant and have been explored for a variety of applications including pharmaceuticals and coatings. They are also foldamer-type materials that can adopt diverse structures based on the sequences of their side chains. Design of new peptoid sequences may lead to the creation of many interesting materials. Given the large number of possible peptoid side chains, computer models predicting peptoid structure-side chain relationships are desirable. In this paper, we provide a survey of computational efforts to understand and predict peptoid structures. We describe simulations at several levels of theory, along with their assumptions and results. We also discuss some challenges for future peptoid computational research.
- peptoids,
- foldamer,
- molecular simulation,
- biomimetic
Citation: Laura J. Weiser, Erik E. Santiso. Molecular modeling studies of peptoid polymers[J]. AIMS Materials Science, 2017, 4(5): 1029-1051. doi: 10.3934/matersci.2017.5.1029

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Abstract

Peptoids, or poly-N-substituted glycines, are synthetic polymers composed of a protein backbone with side chains attached to the nitrogen atoms rather than the α-carbons. Peptoids are biomimetic and protease resistant and have been explored for a variety of applications including pharmaceuticals and coatings. They are also foldamer-type materials that can adopt diverse structures based on the sequences of their side chains. Design of new peptoid sequences may lead to the creation of many interesting materials. Given the large number of possible peptoid side chains, computer models predicting peptoid structure-side chain relationships are desirable. In this paper, we provide a survey of computational efforts to understand and predict peptoid structures. We describe simulations at several levels of theory, along with their assumptions and results. We also discuss some challenges for future peptoid computational research.

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