Evidence map›Paper›PMID 33337880›Full record

ArticleJournal of medicinal chemistry2021

Mining Natural Products for Macrocycles to Drug Difficult Targets.

Fabio Begnini, Vasanthanathan Poongavanam, Björn Over, Marie Castaldo, Stefan Geschwindner, Patrik Johansson, Mohit Tyagi, Christian Tyrchan, Lisa Wissler, Peter Sjö and 2 more

Abstract read
In one paragraph

Article in Journal of medicinal chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Mapping the binding sites of challenging drug targets.Current opinion in structural biology · 2022
    Review
  13. Article
  14. Digital discovery · 2022
    Article
  15. Review
  16. Review
  17. Review
  18. 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

12 authors.

Fabio BegniniDepartment of Chemistry - BMC, Uppsala University, Box 576, 75123 Uppsala, Sweden.
Vasanthanathan PoongavanamDepartment of Chemistry - BMC, Uppsala University, Box 576, 75123 Uppsala, Sweden.ORCID 0000-0002-8880-9247
Björn OverDepartment of Medicinal Chemistry, Research and Early Development, Early Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, 43183 Mölndal, Sweden.
Marie CastaldoDiscovery Biology, Discovery Sciences, R&D, AstraZeneca, 43183 Mölndal, Sweden.
Stefan GeschwindnerStructure, Biophysics & Fragment-Based Lead Generation, Discovery Sciences, R&D, AstraZeneca, 43183 Mölndal, Sweden.ORCID 0000-0002-2154-8345
Patrik JohanssonStructure, Biophysics & Fragment-Based Lead Generation, Discovery Sciences, R&D, AstraZeneca, 43183 Mölndal, Sweden.
Mohit TyagiDepartment of Chemistry - BMC, Uppsala University, Box 576, 75123 Uppsala, Sweden.
Christian TyrchanDepartment of Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, 43183 Mölndal, Sweden.
Lisa WisslerStructure, Biophysics & Fragment-Based Lead Generation, Discovery Sciences, R&D, AstraZeneca, 43183 Mölndal, Sweden.
Peter SjöDrugs for Neglected Diseases initiative (DNDi), 15 Chemin Louis Dunant, 1202 Geneva, Switzerland.
Stefan SchiesserDepartment of Medicinal Chemistry, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, 43183 Mölndal, Sweden.ORCID 0000-0002-8668-2844
Jan KihlbergDepartment of Chemistry - BMC, Uppsala University, Box 576, 75123 Uppsala, Sweden.ORCID 0000-0002-4205-6040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lead generation for difficult-to-drug targets that have large, featureless, and highly lipophilic or highly polar and/or flexible binding sites is highly challenging. Here, we describe how cores of macrocyclic natural products can serve as a high-quality

Indexed as

Biological ProductsComputer SimulationDatabases, FactualData MiningDrug DiscoveryDrug Evaluation, PreclinicalHumansKelch-Like ECH-Associated Protein 1Microsomes, LiverModels, MolecularMolecular Docking SimulationNF-E2-Related Factor 2Polycyclic CompoundsSolubilityStructure-Activity RelationshipBiological ProductsKEAP1 protein, humanKelch-Like ECH-Associated Protein 1NF-E2-Related Factor 2Polycyclic Compounds

Identifiers

PMID33337880
PMCPMC7872424

What Socratic 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 Socratic graph.