Evidence map›Paper›PMID 28935886›Full record

ArticleScientific reports2017

Stepwise Evolution Improves Identification of Diverse Peptides Binding to a Protein Target.

Victor I Lyamichev, Lauren E Goodrich, Eric H Sullivan, Ryan M Bannen, Joerg Benz, Thomas J Albert, Jigar J Patel

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. DexDesign: an OSPREY-based algorithm for designing de novo D-peptide inhibitors.Protein engineering, design & selection : PEDS · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Immunoreactive peptide maps of SARS-CoV-2.Communications biology · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Nonproteinogenic deep mutational scanning of linear and cyclic peptides.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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.

Victor I LyamichevRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA.
Lauren E GoodrichRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA.
Eric H SullivanRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA.
Ryan M BannenRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA.
Joerg BenzRoche Pharmaceutical Research and Early Development, Therapeutic Modalities, Roche Innovation Center Basel, Grenzacherstrasse, 4070, Basel, Switzerland.
Thomas J AlbertRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA.
Jigar J PatelRoche Madison, 500 S Rosa Rd, Madison, WI, 53719, USA. jigar.patel@roche.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable efforts have been made to develop technologies for selection of peptidic molecules that act as substrates or binders to a protein of interest. Here we demonstrate the combination of rational peptide array library design, parallel screening and stepwise evolution, to discover novel peptide hotspots. These hotspots can be systematically evolved to create high-affinity, high-specificity binding peptides to a protein target in a reproducible and digitally controlled process. The method can be applied to synthesize both linear and cyclic peptides, as well as peptides composed of natural and non-natural amino acid analogs, thereby enabling screens in a much diverse chemical space. We apply this method to stepwise evolve peptide binders to streptavidin, a protein studied for over two decades and report novel peptides that mimic key interactions of biotin to streptavidin.

Indexed as

Peptide LibraryAmino Acid SequenceBinding SitesMolecular Docking SimulationPeptidesPeptides, CyclicProtein BindingProteinsStreptavidinPeptide LibraryPeptidesPeptides, CyclicProteinsStreptavidin

Identifiers

PMID28935886
PMCPMC5608804

What OpenQuestion holds

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Registered trials

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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.