Evidence map›Paper›PMID 38048311›Full record

ArticlePLoS computational biology2023

Programming co-assembled peptide nanofiber morphology via anionic amino acid type: Insights from molecular dynamics simulations.

Xin Y Dong, Renjie Liu, Dillon T Seroski, Gregory A Hudalla, Carol K Hall

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xin Y DongDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0009-0002-7300-7660
Renjie LiuDepartment of Biomedical Engineering, University of Florida, Gainesville, Florida, United States of America.
Dillon T SeroskiDepartment of Biomedical Engineering, University of Florida, Gainesville, Florida, United States of America.
Gregory A HudallaDepartment of Biomedical Engineering, University of Florida, Gainesville, Florida, United States of America.
Carol K HallDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0002-7425-587X

Funding

NC STATE MOLECULAR BIOTECHNOLOGY TRAINING PROGRAM (MBTP)T32GM133366 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Jason M. Haugh, Robert M Kelly · 2020 to 2026
$3.3M
NIGMS NIH HHS T32 GM133366
6 · The paper itself

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.

Indexed as

NanofibersAmino AcidsBiocompatible MaterialsMolecular Dynamics SimulationPeptidesAmino AcidsBiocompatible MaterialsPeptides

Identifiers

PMID38048311
PMCPMC10729967

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.