Evidence map›Paper›PMID 35100479›Full record

ReviewChembiochem : a European journal of chemical biology2022

Opportunities for Expanding Encoded Chemical Diversification and Improving Hit Enrichment in mRNA-Displayed Peptide Libraries.

Paddy R A Melsen, Ryoji Yoshisada, Seino A K Jongkees

Abstract readReview
In one paragraph

Review in Chembiochem : a European journal of chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Paddy R A MelsenDepartment of Chemistry and Pharmaceutical Sciences, VU Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.ORCID 0000-0001-9928-6114
Ryoji YoshisadaDepartment of Chemistry and Pharmaceutical Sciences, VU Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.ORCID 0000-0002-2150-908X
Seino A K JongkeesDepartment of Chemistry and Pharmaceutical Sciences, VU Amsterdam, De Boelelaan 1108, 1081 HZ, Amsterdam, The Netherlands.ORCID 0000-0002-4796-0557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA-encoded small-molecule libraries and mRNA displayed peptide libraries both use numerically large pools of oligonucleotide-tagged molecules to identify potential hits for protein targets. They differ dramatically, however, in the 'drug-likeness' of the molecules that each can be used to discover. We give here an overview of the two techniques, comparing some advantages and disadvantages of each, and suggest areas where particularly mRNA display can benefit from adopting advances developed with DNA-encoded small molecule libraries. We outline cases where chemical modification of the peptide library has already been used in mRNA display, and survey opportunities to expand this using examples from DNA-encoded small molecule libraries. We also propose potential opportunities for encoding such reactions within the mRNA/cDNA tag of an mRNA-displayed peptide library to allow a more diversity-oriented approach to library modification. Finally, we outline alternate approaches for enriching target-binding hits from a pooled and tagged library, and close by detailing several examples of how an adjusted mRNA-display based approach could be used to discover new 'drug-like' modified small peptides.

Indexed as

Peptide LibrarySmall Molecule LibrariesDNADrug DiscoveryRNA, MessengerDNAPeptide LibraryRNA, MessengerSmall Molecule Librariesbioorthogonal chemistryDNA-encoded librariesdrug discoverymRNA displaypeptide drugs

Identifiers

PMID35100479
PMCPMC9306583

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.