Evidence map›Paper›PMID 33171388›Full record

ReviewCurrent opinion in structural biology2020

Discovery of allosteric binding sites by crystallographic fragment screening.

Tobias Krojer, James S Fraser, Frank von Delft

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Structural Biology for Target Identification and Validation.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  13. Fragment-based drug discovery: A graphical review.Current research in pharmacology and drug discovery · 2025
    Review
  14. Article
  15. Article
  16. Journal of applied crystallography · 2024
    Article
  17. Article
  18. Emerging maps of allosteric regulation in cellular networks.Current opinion in structural biology · 2023
    Review
  19. FLEXR: automated multi-conformer model building using electron-density map sampling.Acta crystallographica. Section D, Structural biology · 2023
    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

3 authors.

Tobias KrojerStructural Genomics Consortium, University of Oxford, Old Road Campus, Roosevelt Drive, Headington, OX3 7DQ, UK.
James S FraserDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA; Quantitative Biosciences Institute, University of California San Francisco, San Francisco, CA, USA.
Frank von DelftStructural Genomics Consortium, University of Oxford, Old Road Campus, Roosevelt Drive, Headington, OX3 7DQ, UK; Diamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot OX11 0QX, UK; Research Complex at Harwell, Harwell Science and Innovation Campus, Didcot OX11 0FA, UK; Department of Biochemistry, University of Johannesburg, Auckland Park, 2006, South Africa. Electronic address: frank.von-delft@diamond.ac.uk.

Funding

Eliminating Critical Systematic Errors In Structural Biology With Next-Generation SimulationR01GM124149 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLTON, JAMES M · 2017 to 2024
$2.5M
Supplement to Resolving ensemble averaged conformations by multi-temperature x-ray crystallography - Equipment 2020R01GM123159 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FRASER, JAMES SOLOMON · 2018 to 2021
$2.3M
NIGMS NIH HHS R01 GM123159NIGMS NIH HHS R01 GM124149Wellcome TrustWellcome Trust 106169/ZZ14/Z
6 · The paper itself

Abstract

Understanding allosteric regulation of proteins is fundamental to our study of protein structure and function. Moreover, allosteric binding pockets have become a major target of drug discovery efforts in recent years. However, even though the function of almost every protein can be influenced by allostery, it remains a challenge to discover, rationalise and validate putative allosteric binding pockets. This review examines how the discovery and analysis of putative allosteric binding sites have been influenced by the availability of centralised facilities for crystallographic fragment screening, along with newly developed computational methods for modelling low occupancy features. We discuss the experimental parameters required for success, and how new methods could influence the field in the future. Finally, we reflect on the general problem of how to translate these findings into actual ligand development programs.

Indexed as

ProteinsAllosteric RegulationAllosteric SiteHumansLigandsProtein BindingProtein ConformationLigandsProteins

Identifiers

PMID33171388
PMCPMC10979522

What OpenQuestion holds

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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.