Effect of sequence pattern on conformation of DOPA-Peptide conjugate aggregates: a discontinuous molecular dynamics simulation study

Amelia B. Chen, Qing Shao, Carol K. Hall

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Underwater adhesives are critical for many applications, including marine coatings, sealants, and medical devices. Research on natural underwater adhesives has shown that L-3,4-dihydroxyphenylalanine (DOPA) and amyloid nanostructures are vital to their adhesive abilities. The fusion of DOPA-containing chains and amyloid-forming peptides creates a new space for designing underwater adhesives capable of multi-surface adhesion. One critical question for this design is the interplay between the DOPA and amyloid-forming peptide regions. Here we investigate the effect of the sequence pattern of DOPA-containing chains on the aggregation conformation of conjugates. Discontinuous molecular dynamics simulations were performed for fourteen DOPA-amyloid conjugates with different sequence patterns along the DOPA-containing portion. The amyloid-forming portion is represented by KLVFFAE from the Aβ42 peptide. The structural properties of the DOPA-amyloid conjugates are characterised by the percentages of ordered secondary structures and residue-residue contact maps. The results showed that certain patterns of DOPA and glycine in the DOPA-containing tail allowed the KLVFFAE portions of the conjugates to form distinct ordered β-sheets, and the DOPA-containing portion and the KLVFFAE portion of the conjugates to remain separated both within the same chain and amongst different chains. Among the designs, the most promising sequences are KLVFFAE-G-YYGYYGYY (where Y represents DOPA) and KLVFFAE-G-YYYYGGGG.

Original languageEnglish
Pages (from-to)1452-1464
Number of pages13
JournalMolecular Simulation
Volume49
Issue number15
DOIs
StatePublished - 2023

Bibliographical note

Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.

Funding

This work was supported by the National Science Foundation, USA [grant numbers CBET 1512059 and 1743432] and the Department of Education Graduate Assistance in Areas of National Need (GAANN) fellowship granted by the North Carolina State University Molecular Biotechnology Training Program (MBTP). We would also like to acknowledge the computing resources provided on Henry2, a high-performance computing cluster operated by North Carolina State University.

FundersFunder number
National Science Foundation Arctic Social Science ProgramCBET 1512059, 1743432
National Science Foundation Arctic Social Science Program
U.S. Department of Education, OSERS
University of North Carolina and North Carolina State University

    Keywords

    • DOPA
    • amyloid
    • discontinuous molecular dynamics

    ASJC Scopus subject areas

    • General Chemistry
    • Information Systems
    • Modeling and Simulation
    • General Chemical Engineering
    • General Materials Science
    • Condensed Matter Physics

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