Evidence map›Paper›PMID 31309674›Full record

ReviewJournal of peptide science : an official publication of the European Peptide Society2019

Templated chemistry for bioorganic synthesis and chemical biology.

Oliver Seitz

Abstract readReview
In one paragraph

Review in Journal of peptide science : an official publication of the European Peptide Society, 2019. 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
–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

10 citing papers in PubMed.

  1. Toward Ideal Proximity-Driven Reactions in Chemical Biology.Chembiochem : a European journal of chemical biology · 2026
    Review
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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

1 author.

Oliver SeitzDepartment of Chemistry, Humboldt University Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0003-0611-4810

Funding

Deutsche Forschungsgemeinschaft CRC 765Deutsche Forschungsgemeinschaft Se819/10-1Deutsche Forschungsgemeinschaft Se819/13-1Deutsche Forschungsgemeinschaft Se819/15-1Deutsche Forschungsgemeinschaft Se819/18-1Deutsche Forschungsgemeinschaft Se819/20-1Deutsche Forschungsgemeinschaft Se819/2-3Deutsche Forschungsgemeinschaft Se819/2-4Deutsche Forschungsgemeinschaft SPP 1623H2020 European Research Council ERC AdG TRIGGDRUG 669628
6 · The paper itself

Abstract

In light of the 2018 Max Bergmann Medal, this review discusses advancements on chemical biology-driven templated chemistry developed in the author's laboratories. The focused review introduces the template categories applied to orient functional units such as functional groups, chromophores, biomolecules, or ligands in space. Unimolecular templates applied in protein synthesis facilitate fragment coupling of unprotected peptides. Templating via bimolecular assemblies provides control over proximity relationships between functional units of two molecules. As an instructive example, the coiled coil peptide-templated labelling of receptor proteins on live cells will be shown. Termolecular assemblies provide the opportunity to put the proximity of functional units on two (bio)molecules under the control of a third party molecule. This allows the design of conditional bimolecular reactions. A notable example is DNA/RNA-triggered peptide synthesis. The last section shows how termolecular and multimolecular assemblies can be used to better characterize and understand multivalent protein-ligand interactions.

Indexed as

DNAHEK293 CellsHumansLigandsMolecular StructurePeptidesProteinsRNADNALigandsPeptidesProteinsRNAbioconjugationcarbohydrateslectinmultivalencyOligonucleotidespeptide ligationprotein labelingtemplated synthesis

Identifiers

PMID31309674
PMCPMC6771651

What OpenQuestion holds

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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.