Evidence map›Paper›PMID 41940682›Full record

ArticleAngewandte Chemie (International ed. in English)2026

RaPID Selection of Backbone Macrocyclic Peptides Targeting Akt2.

Koki Shinbara, Ekishin Yanagi, Ayaka Aizawa, Takayuki Katoh, Hiroaki Suga

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Koki ShinbaraDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Ekishin YanagiDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Ayaka AizawaDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Takayuki KatohDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Hiroaki SugaDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-5298-9186

Funding

Japan Science and Technology AgencyJapan Society for the Promotion of Science (JSPS) JP20H05618
6 · The paper itself

Abstract

Backbone-cyclic peptides (BMPs) are an attractive class of molecules appeared in diverse natural bioactive products. However, mRNA display technology coupled with ribosomal synthesis is intrinsically inapplicable to such peptide phenotypes due to loss of the C-terminal peptide region linking to the mRNA genotypes. To overcome this issue, we have devised a new strategy to link the sidechain-to-S-mainchain bond via an S-to-N acyl-shift to connect BMPs to the C-terminal fragment of the peptide. Here, we report the application of this strategy to construct a library of BMPs fused to cognate mRNAs. The library was applied for the selection of BMP ligands targeting Akt2, which is involved in the signal pathway to cancer pathogenesis. Consequently, BMP ligands against Akt2 were successfully uncovered from the library. The most potent Akt2 inhibitor, BMPakti-3, showed 1.3 nM of dissociation constant and 34 nM of half-maximal inhibitory concentration (IC

Indexed as

Peptides, CyclicProtein Kinase InhibitorsProto-Oncogene Proteins c-aktHumansLigandsPeptide LibraryAKT2 protein, humanLigandsPeptide LibraryPeptides, CyclicProtein Kinase InhibitorsProto-Oncogene Proteins c-aktbackbone macrocyclic peptidesgenetic code reprogramminghead‐to‐tail macrocyclic peptidesin vitro screeningpeptide librarypeptides

Identifiers

PMID41940682
PMCPMC13182207

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.