De novo structure prediction and experimental characterization of folded peptoid oligomers

被引:83
作者
Butterfoss, Glenn L. [2 ]
Yoo, Barney [3 ]
Jaworski, Jonathan N. [4 ]
Chorny, Ilya [5 ]
Dill, Ken A. [1 ]
Zuckermann, Ronald N. [4 ]
Bonneau, Richard [2 ]
Kirshenbaum, Kent [3 ]
Voelz, Vincent A. [6 ]
机构
[1] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[2] NYU, Ctr Genom & Syst Biol, New York, NY 10003 USA
[3] NYU, Dept Chem, New York, NY 10003 USA
[4] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Mol Foundry, Berkeley, CA 94720 USA
[5] Simprota Corp, San Francisco, CA 94158 USA
[6] Temple Univ, Dept Chem, Philadelphia, PA 19122 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
foldamer; molecular simulation; SIDE-CHAINS; PROTEIN; FOLDAMERS; PEPTIDE; DESIGN; SIMULATION; GLYCINES); PATHWAYS; DYNAMICS; POLYMER;
D O I
10.1073/pnas.1209945109
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Peptoid molecules are biomimetic oligomers that can fold into unique three-dimensional structures. As part of an effort to advance computational design of folded oligomers, we present blind-structure predictions for three peptoid sequences using a combination of Replica Exchange Molecular Dynamics (REMD) simulation and Quantum Mechanical refinement. We correctly predicted the structure of a N-aryl peptoid trimer to within 0.2 angstrom rmsd-backbone and a cyclic peptoid nonamer to an accuracy of 1.0 angstrom rmsd-backbone. X-ray crystallographic structures are presented for a linear N-alkyl peptoid trimer and for the cyclic peptoid nonamer. The peptoid macrocycle structure features a combination of cis and trans backbone amides, significant nonplanarity of the amide bonds, and a unique "basket" arrangement of (S)-N(1-phenylethyl) side chains encompassing a bound ethanol molecule. REMD simulations of the peptoid trimers reveal that well folded peptoids can exhibit funnel-like conformational free energy landscapes similar to those for ordered polypeptides. These results indicate that physical modeling can successfully perform de novo structure prediction for small peptoid molecules.
引用
收藏
页码:14320 / 14325
页数:6
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