Evidence map›Paper›PMID 39390672›Full record

ArticleMolecular informatics2025

Navigating a 1E+60 Chemical Space of Peptide/Peptoid Oligomers.

Markus Orsi, Jean-Louis Reymond

Abstract read
In one paragraph

Article in Molecular informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. A View on Molecular Complexity from the GDB Chemical Space.Journal of chemical information and modeling · 2025
    Review
  6. Article
  7. Antimicrobial Peptide-Peptoid Macrocycles from the Polymyxin B2 Chemical Space.Angewandte Chemie (International ed. in English) · 2025
    Article
  8. Review
  9. Review
  10. Chemical space as a unifying theme for chemistry.Journal of cheminformatics · 2025
    Article
  11. 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

2 authors.

Markus OrsiDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland.
Jean-Louis ReymondDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland.ORCID https://orcid.org/0000-0003-2724-2942

Funding

European Research Council 885076Swiss National Science Foundation 200020_178998
6 · The paper itself

Abstract

Herein we report a virtual library of 1E+60 members, a common estimate for the total size of the drug-like chemical space. The library is obtained from 100 commercially available peptide and peptoid building blocks assembled into linear or cyclic oligomers of up to 30 units, forming molecules within the size range of peptide drugs and potentially accessible by solid-phase synthesis. We demonstrate ligand-based virtual screening (LBVS) using the peptide design genetic algorithm (PDGA), which evolves a population of 50 members to resemble a given target molecule using molecular fingerprint similarity as fitness function. Target molecules are reached in less than 10,000 generations. Like in many journeys, the value of the chemical space journey using PDGA lies not in reaching the target but in the journey itself, here by encountering non-obvious analogs. We also show that PDGA can be used to generate median molecules and analogs of non-peptide target molecules.

Indexed as

PeptidesPeptoidsAlgorithmsDrug DesignLigandsSmall Molecule LibrariesLigandsPeptidesPeptoidsSmall Molecule Librarieschemical spacecheminformaticsgenetic algorithmtherapeutic peptides

Identifiers

PMID39390672
PMCPMC11733718

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.