Evidence map›Paper›PMID 27626071›Full record

ArticleScience advances2016

Computationally designed peptides for self-assembly of nanostructured lattices.

Huixi Violet Zhang, Frank Polzer, Michael J Haider, Yu Tian, Jose A Villegas, Kristi L Kiick, Darrin J Pochan, Jeffery G Saven

Abstract read
In one paragraph

Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Designability of α-Helical Protein Filaments.Sub-cellular biochemistry · 2026
    Review
  3. 2D Assemblies Based on a Tetraphenylethylene D,L-Cyclic Peptide Scaffold.Angewandte Chemie (International ed. in English) · 2025
    Article
  4. Article
  5. Chemical science · 2025
    Article
  6. Gold Nanoparticles Guided by Self-Assembling Peptides: From Sequence to Superstructure.Chembiochem : a European journal of chemical biology · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Article
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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

8 authors.

Huixi Violet ZhangDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Frank PolzerDepartment of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA.
Michael J HaiderDepartment of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA.
Yu TianDepartment of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA.
Jose A VillegasDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kristi L KiickDepartment of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA.
Darrin J PochanDepartment of Materials Science and Engineering, University of Delaware, Newark, DE 19716, USA.
Jeffery G SavenDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

Pilot Research Subproject ProgramP30GM110758 · NIGMS · UNIVERSITY OF DELAWARE · PI BEEBE, THOMAS PAUL · 2014 to 2018
$5.8M
Predoctoral Training at the Chemistry-Biology InterfaceT32GM071339 · NIGMS · WISTAR INSTITUTE · PI MARMORSTEIN, RONEN, SPEICHER, DAVID W. · 2005 to 2019
$3.2M
NIGMS NIH HHS P30 GM110758NIGMS NIH HHS T32 GM071339
6 · The paper itself

Abstract

Folded peptides present complex exterior surfaces specified by their amino acid sequences, and the control of these surfaces offers high-precision routes to self-assembling materials. The complexity of peptide structure and the subtlety of noncovalent interactions make the design of predetermined nanostructures difficult. Computational methods can facilitate this design and are used here to determine 29-residue peptides that form tetrahelical bundles that, in turn, serve as building blocks for lattice-forming materials. Four distinct assemblies were engineered. Peptide bundle exterior amino acids were designed in the context of three different interbundle lattices in addition to one design to produce bundles isolated in solution. Solution assembly produced three different types of lattice-forming materials that exhibited varying degrees of agreement with the chosen lattices used in the design of each sequence. Transmission electron microscopy revealed the nanostructure of the sheetlike nanomaterials. In contrast, the peptide sequence designed to form isolated, soluble, tetrameric bundles remained dispersed and did not form any higher-order assembled nanostructure. Small-angle neutron scattering confirmed the formation of soluble bundles with the designed size. In the lattice-forming nanostructures, the solution assembly process is robust with respect to variation of solution conditions (pH and temperature) and covalent modification of the computationally designed peptides. Solution conditions can be used to control micrometer-scale morphology of the assemblies. The findings illustrate that, with careful control of molecular structure and solution conditions, a single peptide motif can be versatile enough to yield a wide range of self-assembled lattice morphologies across many length scales (1 to 1000 nm).

Indexed as

Computational BiologyAmino Acid SequenceMicroscopy, Electron, TransmissionNanostructuresPeptidesProtein FoldingProtein Structure, SecondaryPeptidescomputational designde novo designnanomaterialsPeptideself-assemblysoft matter

Identifiers

PMID27626071
PMCPMC5017825

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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.