Title: Programming co-assembled peptide nanofiber morphology via anionic amino acid type: Insights from molecular dynamics simulations
Co-assembling peptides can be crafted into supramolecular biomaterials for use in biotechnological applications, such as cell culture scaffolds, drug delivery, biosensors, and tissue engineering. Peptide co-assembly refers to the spontaneous organization of two different peptides into a supramolecular architecture. Here we use molecular dynamics simulations to quantify the effect of anionic amino acid type on co-assembly dynamics and nanofiber structure in binary CATCH(+/-) peptide systems. CATCH peptide sequences follow a general pattern: CQCFCFCFCQC, where all C’s are either a positively charged or a negatively charged amino acid. Specifically, we investigate the effect of substituting aspartic acid residues for the glutamic acid residues in the established CATCH(6E-) molecule, while keeping CATCH(6K+) unchanged. Our results show that structures consisting of CATCH(6K+) and CATCH(6D-) form flatter β-sheets, have stronger interactions between charged residues on opposing β-sheet faces, and have slower co-assembly kinetics than structures consisting of CATCH(6K+) and CATCH(6E-). Knowledge of the effect of sidechain type on assembly dynamics and fibrillar structure can help guide the development of advanced biomaterials and grant insight into sequence-to-structure relationships.  more » « less
Award ID(s):
1743432
PAR ID:
10494480
Author(s) / Creator(s):
; ; ; ;
Editor(s):
Levy, Yaakov Koby
Publisher / Repository:
PLOS
Date Published:
Journal Name:
PLOS Computational Biology
Edition / Version:
1
Volume:
19
Issue:
12
ISSN:
1553-7358
Page Range / eLocation ID:
e1011685
Subject(s) / Keyword(s):
peptides, nanofiber, CATCH, co-assembly
Format(s):
Medium: X Size: 2.5 Other: pdf
Size(s):
2.5
Sponsoring Org:
National Science Foundation
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