Evidence map›Paper›PMID 34928151›Full record

ReviewJournal of medicinal chemistry2022

Fragment-to-Lead Medicinal Chemistry Publications in 2020.

Iwan J P de Esch, Daniel A Erlanson, Wolfgang Jahnke, Christopher N Johnson, Louise Walsh

Abstract readReview
In one paragraph

Review in Journal of medicinal chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Fragment-based drug discovery: A graphical review.Current research in pharmacology and drug discovery · 2025
    Review
  13. Review
  14. Article
  15. Site Identification and Next Choice Protocol for Hit-to-Lead Optimization.Journal of chemical information and modeling · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Iwan J P de EschDivision of Medicinal Chemistry, Amsterdam Institute of Molecular and Life Sciences (AIMMS), Vrije Universiteit Amsterdam, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.ORCID 0000-0002-1969-0238
Daniel A ErlansonFrontier Medicines, 151 Oyster Point Blvd., South San Francisco, California 94080, United States.ORCID 0000-0001-8807-4159
Wolfgang JahnkeNovartis Institutes for Biomedical Research, Chemical Biology and Therapeutics, 4002 Basel, Switzerland.ORCID 0000-0002-7003-3305
Christopher N JohnsonAstex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom.ORCID 0000-0001-8618-9729
Louise WalshAstex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fragment-based drug discovery (FBDD) continues to evolve and make an impact in the pharmaceutical sciences. We summarize successful fragment-to-lead studies that were published in 2020. Having systematically analyzed annual scientific outputs since 2015, we discuss trends and best practices in terms of fragment libraries, target proteins, screening technologies, hit-optimization strategies, and the properties of hit fragments and the leads resulting from them. As well as the tabulated Fragment-to-Lead (F2L) programs, our 2020 literature review identifies several trends and innovations that promise to further increase the success of FBDD. These include developing structurally novel screening fragments, improving fragment-screening technologies, using new computer-aided design and virtual screening approaches, and combining FBDD with other innovative drug-discovery technologies.

Indexed as

Drug DesignAnimalsChemistry, PharmaceuticalDrug DiscoveryHumansPublicationsSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

PMID34928151
PMCPMC8762670

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.