Dong, Xin Y. and Liu, Renjie and Seroski, Dillon T. and Hudalla, Gregory A. and Hall, Carol K. and Levy, Yaakov Koby (2023) Programming co-assembled peptide nanofiber morphology via anionic amino acid type: Insights from molecular dynamics simulations. PLOS Computational Biology, 19 (12). e1011685. ISSN 1553-7358
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Abstract
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.
Item Type: | Article |
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Subjects: | Research Scholar Guardian > Biological Science |
Depositing User: | Unnamed user with email support@scholarguardian.com |
Date Deposited: | 10 Apr 2024 11:54 |
Last Modified: | 10 Apr 2024 11:54 |
URI: | http://science.sdpublishers.org/id/eprint/2679 |