Evidence map›Paper›PMID 27417849›Full record

ReviewNature reviews. Drug discovery2016

Twenty years on: the impact of fragments on drug discovery.

Daniel A Erlanson, Stephen W Fesik, Roderick E Hubbard, Wolfgang Jahnke, Harren Jhoti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 416 papers.

0numbers the graph read from it
0cells of the map it votes in
416citing 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

416 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Rapid Fragment Screening byAngewandte Chemie (International ed. in English) · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

356 more citing papers are in PubMed but not listed here.

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.

Daniel A ErlansonCarmot Therapeutics, Inc. 409 Illinois Street, San Francisco, California 94158, USA.
Stephen W FesikDepartment of Biochemistry, Vanderbilt University School of Medicine, 2215 Garland Avenue, 607 Light Hall, Nashville, Tennessee 37232-0146, USA.
Roderick E HubbardYork Structural Biology Laboratory, Department of Chemistry, University of York, York YO10 5DD, UK.
Wolfgang JahnkeNovartis Institutes for Biomedical Research, Novartis Campus, CH-4002 Basel, Switzerland.
Harren JhotiAstex Pharmaceuticals, 436 Cambridge Science Park, Milton Road, Cambridge CB4 0QA, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After 20 years of sometimes quiet growth, fragment-based drug discovery (FBDD) has become mainstream. More than 30 drug candidates derived from fragments have entered the clinic, with two approved and several more in advanced trials. FBDD has been widely applied in both academia and industry, as evidenced by the large number of papers from universities, non-profit research institutions, biotechnology companies and pharmaceutical companies. Moreover, FBDD draws on a diverse range of disciplines, from biochemistry and biophysics to computational and medicinal chemistry. As the promise of FBDD strategies becomes increasingly realized, now is an opportune time to draw lessons and point the way to the future. This Review briefly discusses how to design fragment libraries, how to select screening techniques and how to make the most of information gleaned from them. It also shows how concepts from FBDD have permeated and enhanced drug discovery efforts.

Indexed as

Clinical Trials as TopicComputational BiologyDrug DiscoveryHigh-Throughput Screening AssaysHumansPeptide FragmentsPeptide LibraryProtein ConformationSmall Molecule LibrariesPeptide FragmentsPeptide LibrarySmall Molecule Libraries

Identifiers

PMID27417849

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.