Evidence map›Paper›PMID 28298556›Full record

ReviewThe Biochemical journal2017

Macrocycles as protein-protein interaction inhibitors.

Patrick G Dougherty, Ziqing Qian, Dehua Pei

Open access · greenAbstract readReview
In one paragraph

Review in The Biochemical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 166 citations in OpenAlex.

  1. Review
  2. A scalable recombinant pipeline for disulphide-stapled peptides.bioRxiv : the preprint server for biology · 2026
    Article
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23 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Patrick G DoughertyDepartment of Chemistry and Biochemistry, The Ohio State University, 484 West 12th Avenue, Columbus, OH 43210, U.S.A.
Ziqing QianDepartment of Chemistry and Biochemistry, The Ohio State University, 484 West 12th Avenue, Columbus, OH 43210, U.S.A.
Dehua PeiDepartment of Chemistry and Biochemistry, The Ohio State University, 484 West 12th Avenue, Columbus, OH 43210, U.S.A. pei.3@osu.edu.
The Ohio State University · US

Funding

Recognition and Catalysis of Phosphotyrosyl ProteinsR01GM062820 · NIGMS · OHIO STATE UNIVERSITY · PI PEI, DEHUA · 2003 to 2015
$3.2M
Cyclic Cell-Penetrating PeptidesR01GM110208 · NIGMS · OHIO STATE UNIVERSITY · PI PEI, DEHUA · 2014 to 2016
$980k
NIGMS NIH HHS R01 GM062820NIGMS NIH HHS R01 GM110208
6 · The paper itself

Abstract

Macrocyclic compounds such as cyclic peptides have emerged as a new and exciting class of drug candidates for inhibition of intracellular protein-protein interactions, which are challenging targets for conventional drug modalities (i.e. small molecules and proteins). Over the past decade, several complementary technologies have been developed to synthesize macrocycle libraries and screen them for binding to therapeutically relevant targets. Two different approaches have also been explored to increase the membrane permeability of cyclic peptides. In this review, we discuss these methods and their applications in the discovery of macrocyclic compounds against protein-protein interactions.

Indexed as

Peptide LibraryAnimalsBiological ProductsBiological TransportCell Membrane PermeabilityDiffusionDrug DiscoveryEukaryotic CellsHumansInteinsPeptides, CyclicProtein BindingProtein Interaction Domains and MotifsProteinsSmall Molecule LibrariesBiological ProductsPeptide LibraryPeptides, CyclicProteinsSmall Molecule Librariescell-penetrating peptidecyclic peptidedrug discoverymacrocycleprotein–protein interactionundruggable targets

Identifiers

PMID28298556
PMCPMC6511976
OpenAlexW2607439181

What OpenQuestion holds

Textmetadata
LicenceTDM
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.