Evidence map›Paper›PMID 28639674›Full record

ArticleOrganic & biomolecular chemistry2017

Transition from disordered aggregates to ordered lattices: kinetic control of the assembly of a computationally designed peptide.

Yu Tian, Huixi Violet Zhang, Kristi L Kiick, Jeffery G Saven, Darrin J Pochan

Abstract read
In one paragraph

Article in Organic & biomolecular chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Infinite Assembly of Folded Proteins in Evolution, Disease, and Engineering.Angewandte Chemie (International ed. in English) · 2019
    Review
  5. Review
  6. Multicomponent peptide assemblies.Chemical Society reviews · 2018
    Review
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.

Yu TianMaterials Science and Engineering Department, University of Delaware, Newark, Delaware 19716, USA. kiick@udel.edu pochan@udel.edu.ORCID http://orcid.org/0000-0003-2570-1631
Huixi Violet ZhangDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. saven@sas.upenn.edu.
Kristi L KiickMaterials Science and Engineering Department, University of Delaware, Newark, Delaware 19716, USA. kiick@udel.edu pochan@udel.edu.ORCID http://orcid.org/0000-0001-8587-0301
Jeffery G SavenDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. saven@sas.upenn.edu.ORCID http://orcid.org/0000-0001-5027-7241
Darrin J PochanMaterials Science and Engineering Department, University of Delaware, Newark, Delaware 19716, USA. kiick@udel.edu pochan@udel.edu.

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI Anjana Narayan Bhat · 2012 to 2026
$67.2M
Pilot Research Subproject ProgramP30GM110758 · NIGMS · UNIVERSITY OF DELAWARE · PI BEEBE, THOMAS PAUL · 2014 to 2018
$5.8M
COBRE on Membrane Protein Production and CharacterizationP30GM103519 · NIGMS · UNIVERSITY OF DELAWARE · PI LENHOFF, ABRAHAM M · 2012 to 2014
$3.3M
NIGMS NIH HHS P20 GM103446NIGMS NIH HHS P30 GM103519NIGMS NIH HHS P30 GM110758
6 · The paper itself

Abstract

Natural biomolecular self-assembly typically occurs under a narrow range of solution conditions, and the design of sequences that can form prescribed structures under a range of such conditions would be valuable in the bottom-up assembly of predetermined nanostructures. We present a computationally designed peptide that robustly self-assembles into regular arrays under a wide range of solution pH and temperature conditions. Controling the solution conditions provides the opportunity to exploit a simple and reproducible approach for altering the pathway of peptide solution self-assembly. The computationally designed peptide forms a homotetrameric coiled-coil bundle that further self-assembles into 2-D plate structures with well-defined inter-bundle symmetry. Herein, we present how modulation of solution conditions, such as pH and temperature, can be used to control the kinetics of the inter-bundle assembly and manipulate the final morphology. Changes in solution pH primarily influence the inter-bundle assembly by affecting the charged state of ionizable residues on the bundle exterior while leaving the homotetrameric coiled-coil structure intact. At low pH, repulsive interactions prevent 2-D lattice nanostructure formation. Near the estimated isoelectric point of the peptide, bundle aggregation is rapid and yields disordered products, which subsequently transform into ordered nanostructures over days to weeks. At elevated temperatures (T = 40 °C or 50 °C), the formation of disordered, kinetically-trapped products largely can be eliminated, allowing the system to quickly assemble into plate-like nanostructured lattices. Moreover, subtle changes in pH and in the peptide charge state have a significant influence on the thickness of formed plates and on the hierarchical manner in which plates fuse into larger material structures with observable grain boundaries. These findings confirm the ability to finely tune the peptide assembly process to achieve a range of engineered structures with one simple 29-residue peptide building block.

Indexed as

Molecular Dynamics SimulationHydrogen-Ion ConcentrationKineticsNanostructuresPeptidesProtein AggregatesTemperaturePeptidesProtein Aggregates

Identifiers

PMID28639674
PMCPMC8783983

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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.