Evidence map›Paper›PMID 33058266›Full record

ArticleProtein science : a publication of the Protein Society2020

Computational design of mixed chirality peptide macrocycles with internal symmetry.

Vikram Khipple Mulligan, Christine S Kang, Michael R Sawaya, Stephen Rettie, Xinting Li, Inna Antselovich, Timothy W Craven, Andrew M Watkins, Jason W Labonte, Frank DiMaio and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Heuristic energy-based cyclic peptide design.PLoS computational biology · 2025
    Article
  5. Heuristic energy-based cyclic peptide design.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Exploration of Structured Symmetric Cyclic Peptides as Ligands for Metal-Organic Frameworks.Chemistry of materials : a publication of the American Chemical Society · 2022
    Article
  16. Article
  17. Computational Design of Structured and Functional Peptide Macrocycles.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  18. Article
  19. Computationally designed peptide macrocycle inhibitors of New Delhi metallo-β-lactamase 1.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  20. Computational design of mixed chirality peptide macrocycles with internal symmetry.Protein science : a publication of the Protein Society · 2020
    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

12 authors at 4 institutions in 1 country.

Vikram Khipple MulliganSystems Biology, Center for Computational Biology, Flatiron Institute, New York, New York, USA.ORCID 0000-0001-6038-8922
Christine S KangInstitute for Protein Design, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-0959-0783
Michael R SawayaDepartment of Chemistry and Biochemistry, University of California-Los Angeles (UCLA), Los Angeles, California, USA.
Stephen RettieInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
Xinting LiInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
Inna AntselovichDepartment of Chemistry and Biochemistry, University of California-Los Angeles (UCLA), Los Angeles, California, USA.
Timothy W CravenInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
Andrew M WatkinsDepartment of Biochemistry, Stanford University, Stanford, California, USA.
Jason W LabonteDepartment of Chemistry, Franklin & Marshall College, Lancaster, Pennsylvania, USA.
Frank DiMaioInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
Todd O YeatesDepartment of Chemistry and Biochemistry, University of California-Los Angeles (UCLA), Los Angeles, California, USA.ORCID 0000-0001-5709-9839
David BakerInstitute for Protein Design, University of Washington, Seattle, Washington, USA.
University of Washington · USUniversity of California, Los Angeles · USJohns Hopkins University · USStanford University · US

Funding

User Training and OutreachP30GM124165 · NIGMS · CORNELL UNIVERSITY · PI MALCOLM S. CAPEL · 2018 to 2026
$34.2M
Pixel Array Detector for X-ray CrystallographyS10RR029205 · NCRR · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2010 to 2010
$1.8M
Howard Hughes Medical InstituteNCRR NIH HHS S10 RR029205NIGMS NIH HHS P30 GM124165NIH HHS
6 · The paper itself

Abstract

Cyclic symmetry is frequent in protein and peptide homo-oligomers, but extremely rare within a single chain, as it is not compatible with free N- and C-termini. Here we describe the computational design of mixed-chirality peptide macrocycles with rigid structures that feature internal cyclic symmetries or improper rotational symmetries inaccessible to natural proteins. Crystal structures of three C2- and C3-symmetric macrocycles, and of six diverse S2-symmetric macrocycles, match the computationally-designed models with backbone heavy-atom RMSD values of 1 Å or better. Crystal structures of an S4-symmetric macrocycle (consisting of a sequence and structure segment mirrored at each of three successive repeats) designed to bind zinc reveal a large-scale zinc-driven conformational change from an S4-symmetric apo-state to a nearly inverted S4-symmetric holo-state almost identical to the design model. These symmetric structures provide promising starting points for applications ranging from design of cyclic peptide based metal organic frameworks to creation of high affinity binders of symmetric protein homo-oligomers. More generally, this work demonstrates the power of computational design for exploring symmetries and structures not found in nature, and for creating synthetic switchable systems.

Indexed as

Models, MolecularProtein EngineeringPeptides, CyclicPeptides, Cyclicchelationcomputational designde novo designnon-canonical amino acidspeptidesprotein foldingracemic crystallographysymmetry

Identifiers

PMID33058266
PMCPMC7679966
OpenAlexW3093043010

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.