Evidence map›Paper›PMID 38123688›Full record

ReviewNature reviews. Chemistry2024

Molecular chameleons in drug discovery.

Vasanthanathan Poongavanam, Lianne H E Wieske, Stefan Peintner, Máté Erdélyi, Jan Kihlberg

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Pulse Programme Considerations for Quantitative NOE Analysis.Magnetic resonance in chemistry : MRC · 2026
    Article
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  3. Review
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  6. Review
  7. Article
  8. Review
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  11. BBB-Permeable PROTACs: Where Do We Stand?ACS medicinal chemistry letters · 2026
    Review
  12. Article
  13. Article
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  15. Article
  16. Review
  17. Article
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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

5 authors.

Vasanthanathan PoongavanamDepartment of Chemistry - BMC, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8880-9247
Lianne H E WieskeDepartment of Chemistry - BMC, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-4617-7605
Stefan PeintnerDepartment of Chemistry - BMC, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-9882-2018
Máté ErdélyiDepartment of Chemistry - BMC, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-0359-5970
Jan KihlbergDepartment of Chemistry - BMC, Uppsala University, Uppsala, Sweden. jan.kihlberg@kemi.uu.se.ORCID 0000-0002-4205-6040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular chameleons possess a flexibility that allows them to dynamically shield or expose polar functionalities in response to the properties of the environment. Although the concept of molecular chameleons was introduced already in 1970, interest in them has grown considerably since the 2010s, when drug discovery has focused to an increased extent on new chemical modalities. Such modalities include cyclic peptides, macrocycles and proteolysis-targeting chimeras, all of which reside in a chemical space far from that of traditional small-molecule drugs. Both cell permeability and aqueous solubility are required for the oral absorption of drugs. Engineering these properties, and potent target binding, into the larger new modalities is a more daunting task than for traditional small-molecule drugs. The ability of chameleons to adapt to different environments may be essential for success. In this Review, we provide both general and theoretical insights into the realm of molecular chameleons. We discuss why chameleons have come into fashion and provide a do-it-yourself toolbox for their design; we then provide a glimpse of how advanced in silico methods can support molecular chameleon design.

Indexed as

Drug DiscoveryPeptides, CyclicPermeabilitySolubilityWaterPeptides, CyclicWater

Identifiers

What OpenQuestion holds

Textmetadata
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.