Evidence map›Paper›PMID 19754393›Full record

ReviewCurrent topics in medicinal chemistry2009

Docking screens: right for the right reasons?

Peter Kolb, John J Irwin

Abstract readReview
In one paragraph

Review in Current topics in medicinal chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Review
  2. Evaluating generalization in protein-ligand cofolding methods.Nature structural & molecular biology · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. An MD View of Ligand Binding.Molecules (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Computational and Biological Evaluation ofPharmaceuticals (Basel, Switzerland) · 2022
    Article
  16. Structural similarities between SARS-CoV2 3CLFrontiers in chemistry · 2022
    Article
  17. Review
  18. Article
  19. Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?International journal of molecular sciences · 2021
    Review
  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

2 authors.

Peter KolbDepartment of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA 94158-2330, USA.
John J Irwin

Funding

A Web-Based Automatic Virtual Screening SystemR01GM071896 · NIGMS · UNIVERSITY OF TORONTO · PI IRWIN, JOHN J. · 2004 to 2024
$6.0M
NIGMS NIH HHS GM071896NIGMS NIH HHS R01 GM071896
6 · The paper itself

Abstract

Whereas docking screens have emerged as the most practical way to use protein structure for ligand discovery, an inconsistent track record raises questions about how well docking actually works. In its favor, a growing number of publications report the successful discovery of new ligands, often supported by experimental affinity data and controls for artifacts. Few reports, however, actually test the underlying structural hypotheses that docking makes. To be successful and not just lucky, prospective docking must not only rank a true ligand among the top scoring compounds, it must also correctly orient the ligand so the score it receives is biophysically sound. If the correct binding pose is not predicted, a skeptic might well infer that the discovery was serendipitous. Surveying over 15 years of the docking literature, we were surprised to discover how rarely sufficient evidence is presented to establish whether docking actually worked for the right reasons. The paucity of experimental tests of theoretically predicted poses undermines confidence in a technique that has otherwise become widely accepted. Of course, solving a crystal structure is not always possible, and even when it is, it can be a lot of work, and is not readily accessible to all groups. Even when a structure can be determined, investigators may prefer to gloss over an erroneous structural prediction to better focus on their discovery. Still, the absence of a direct test of theory by experiment is a loss for method developers seeking to understand and improve docking methods. We hope this review will motivate investigators to solve structures and compare them with their predictions whenever possible, to advance the field.

Indexed as

Computer SimulationDrug Evaluation, PreclinicalLigandsMolecular StructureProtein BindingProteinsLigandsProteins

Identifiers

PMID19754393
PMCPMC3383315

What OpenQuestion holds

Textmetadata
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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.