Evidence map›Paper›PMID 29643335›Full record

ArticleNature communications2018

Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle.

Emily C Hartman, Christopher M Jakobson, Andrew H Favor, Marco J Lobba, Ester Álvarez-Benedicto, Matthew B Francis, Danielle Tullman-Ercek

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

27 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Measuring the selective packaging of RNA molecules by viral coat proteins in cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Viral Phrenology.Viruses · 2021
    Article
  18. Review
  19. Role of Phage Capsid in the Resistance to UV-C Radiations.International journal of molecular sciences · 2021
    Article
  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

7 authors at 3 institutions in 1 country.

Emily C HartmanDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA.
Christopher M JakobsonDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, 94720-1460, USA.
Andrew H FavorDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA.
Marco J LobbaDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA.
Ester Álvarez-BenedictoDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA.
Matthew B FrancisDepartment of Chemistry, University of California, Berkeley, CA, 94720-1460, USA. mbfrancis@berkeley.edu.
Danielle Tullman-ErcekDepartment of Chemical and Biological Engineering, Northwestern University, 2145 Sheridan Road, Technological Institute E136, Evanston, IL, 60208-3120, USA. ercek@northwestern.edu.
University of California, Berkeley · USLawrence Berkeley National Laboratory · USNorthwestern University · US

Funding

RIO PIEDRAS MARC U*STAR DEVELOPMENT PROGRAMT34GM007821 · NIGMS · UNIVERSITY OF PUERTO RICO RIO PIEDRAS · PI CARBALLEIRA, NESTOR MANUEL · 1985 to 2020
$20.3M
Acquisition of Covaris E220 and Sciclone G3 systems for high throughput sequencinS10OD010786 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COMAI, LUCA · 2012 to 2012
$311k
NIGMS NIH HHS T34 GM007821NIH HHS S10 OD010786
6 · The paper itself

Abstract

Self-assembling proteins are critical to biological systems and industrial technologies, but predicting how mutations affect self-assembly remains a significant challenge. Here, we report a technique, termed SyMAPS (Systematic Mutation and Assembled Particle Selection), that can be used to characterize the assembly competency of all single amino acid variants of a self-assembling viral structural protein. SyMAPS studies on the MS2 bacteriophage coat protein revealed a high-resolution fitness landscape that challenges some conventional assumptions of protein engineering. An additional round of selection identified a previously unknown variant (CP[T71H]) that is stable at neutral pH but less tolerant to acidic conditions than the wild-type coat protein. The capsids formed by this variant could be more amenable to disassembly in late endosomes or early lysosomes-a feature that is advantageous for delivery applications. In addition to providing a mutability blueprint for virus-like particles, SyMAPS can be readily applied to other self-assembling proteins.

Indexed as

MutationAmino AcidsCapsidCapsid ProteinsEndosomesHydrogen-Ion ConcentrationHydrophobic and Hydrophilic InteractionsLevivirusModels, MolecularMutagenesis, Site-DirectedProtein EngineeringProtein StabilityProtein Structure, SecondaryProteolysisStatic ElectricityVirionAmino AcidsCapsid Proteins

Identifiers

PMID29643335
PMCPMC5895741
OpenAlexW2797284528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.