Evidence map›Paper›PMID 30281290›Full record

ReviewChemical reviews2018

Biomolecular Assemblies: Moving from Observation to Predictive Design.

Corey J Wilson, Andreas S Bommarius, Julie A Champion, Yury O Chernoff, David G Lynn, Anant K Paravastu, Chen Liang, Ming-Chien Hsieh, Jennifer M Heemstra

Abstract readReview
In one paragraph

Review in Chemical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Hierarchical assembly of AgNature communications · 2024
    Article
  9. Article
  10. Article
  11. Supramolecular assembly of multifunctional protein gels via anMolecular systems design & engineering · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

9 authors.

Corey J WilsonSchool of Chemical & Biomolecular Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
Andreas S BommariusSchool of Chemical & Biomolecular Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.ORCID 0000-0003-4658-1675
Julie A ChampionSchool of Chemical & Biomolecular Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.ORCID 0000-0002-0260-9392
Yury O ChernoffSchool of Biological Sciences , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.
David G LynnDepartment of Chemistry , Emory University , Atlanta , Georgia 30322 , United States.ORCID 0000-0003-2200-059X
Anant K ParavastuSchool of Chemical & Biomolecular Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.ORCID 0000-0001-7183-1942
Chen LiangDepartment of Chemistry , Emory University , Atlanta , Georgia 30322 , United States.
Ming-Chien HsiehDepartment of Chemistry , Emory University , Atlanta , Georgia 30322 , United States.ORCID 0000-0001-9786-8145
Jennifer M HeemstraDepartment of Chemistry , Emory University , Atlanta , Georgia 30322 , United States.ORCID 0000-0002-7691-8526

Funding

The Emory Alzheimer's Disease CenterP50AG025688 · NIA · EMORY UNIVERSITY · PI WALKER, LARY C · 2005 to 2019
$25.7M
Solid State NMR Structural Analysis of Oligomeric Alzheimer's Beta-Amyloid PeptideR01AG045703 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI PARAVASTU, ANANT KRISHNA · 2014 to 2018
$1.5M
Fluorescent mRNA Labeling Using Self-Alkylating RibozymesR01GM116991 · NIGMS · UNIVERSITY OF UTAH · PI HEEMSTRA, JENNIFER MARGARET · 2016 to 2020
$1.5M
Howard Hughes Medical InstituteNIA NIH HHS P50 AG025688NIA NIH HHS R01 AG045703NIGMS NIH HHS R01 GM116991
6 · The paper itself

Abstract

Biomolecular assembly is a key driving force in nearly all life processes, providing structure, information storage, and communication within cells and at the whole organism level. These assembly processes rely on precise interactions between functional groups on nucleic acids, proteins, carbohydrates, and small molecules, and can be fine-tuned to span a range of time, length, and complexity scales. Recognizing the power of these motifs, researchers have sought to emulate and engineer biomolecular assemblies in the laboratory, with goals ranging from modulating cellular function to the creation of new polymeric materials. In most cases, engineering efforts are inspired or informed by understanding the structure and properties of naturally occurring assemblies, which has in turn fueled the development of predictive models that enable computational design of novel assemblies. This Review will focus on selected examples of protein assemblies, highlighting the story arc from initial discovery of an assembly, through initial engineering attempts, toward the ultimate goal of predictive design. The aim of this Review is to highlight areas where significant progress has been made, as well as to outline remaining challenges, as solving these challenges will be the key that unlocks the full power of biomolecules for advances in technology and medicine.

Indexed as

Models, MolecularPeptidesPolymersProteinsPeptidesPolymersProteins

Identifiers

PMID30281290
PMCPMC6650774

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.