Evidence map›Paper›PMID 37094170›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Exploiting conformational dynamics to modulate the function of designed proteins.

Enrico Rennella, Danny D Sahtoe, David Baker, Lewis E Kay

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. DNA-Regulated Multi-Protein Complement Control.Journal of the American Chemical Society · 2024
    Article
  7. Heterogeneous folding landscapes and predetermined breaking points within a protein family.Protein science : a publication of the Protein Society · 2024
    Article
  8. Design of amyloidogenic peptide traps.Nature chemical biology · 2024
    Article
  9. Unraveling dynamic protein structures by two-dimensional infrared spectra with a pretrained machine learning model.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. 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

4 authors at 2 institutions in 2 countries.

Enrico RennellaDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Danny D SahtoeDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-9095-0744
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA 98195.ORCID 0000-0001-7896-6217
Lewis E KayDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.ORCID 0000-0002-4054-4083
University of Toronto · CAUniversity of Washington · US

Funding

CIHR FDN-455908CIHR FDN-503573
6 · The paper itself

Abstract

With the recent success in calculating protein structures from amino acid sequences using artificial intelligence-based algorithms, an important next step is to decipher how dynamics is encoded by the primary protein sequence so as to better predict function. Such dynamics information is critical for protein design, where strategies could then focus not only on sequences that fold into particular structures that perform a given task, but would also include low-lying excited protein states that could influence the function of the designed protein. Herein, we illustrate the importance of dynamics in modulating the function of C34, a designed α/β protein that captures β-strands of target ligands and is a member of a family of proteins designed to sequester β-strands and β hairpins of aggregation-prone molecules that lead to a variety of pathologies. Using a strategy to "see" regions of

Indexed as

Artificial IntelligenceProteinsAmino Acid SequenceLigandsPeptidesProtein ConformationLigandsPeptidesProteinschemical exchange saturation transferconformational dynamicsligand bindingNMR spectroscopyprotein design

Identifiers

PMID37094170
PMCPMC10161014
OpenAlexW4366816341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.