Evidence map›Paper›PMID 15279849›Full record

ReviewDrug discovery today2004

Utility of homology models in the drug discovery process.

Alexander Hillisch, Luis Felipe Pineda, Rolf Hilgenfeld

Abstract readReview
In one paragraph

Review in Drug discovery today, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers.

0numbers the graph read from it
0cells of the map it votes in
95citing 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

95 citing papers in PubMed.

  1. Article
  2. Article
  3. Discovery of Novel Molecular Scaffolds to OvercomeInternational journal of molecular sciences · 2026
    Article
  4. Review
  5. Article
  6. The physics-AI dialogue in drug design.RSC medicinal chemistry · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Heliyon · 2023
    Article
  12. Review
  13. Machine Learning and Computational Chemistry for the Endocannabinoid System.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

35 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

3 authors.

Alexander HillischBayer HealthCare AG, Apratherweg 18a, D-42096 Wuppertal, Germany. alexander.hillisch@bayerhealthcare.com
Luis Felipe Pineda
Rolf Hilgenfeld

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in bioinformatics and protein modeling algorithms, in addition to the enormous increase in experimental protein structure information, have aided in the generation of databases that comprise homology models of a significant portion of known genomic protein sequences. Currently, 3D structure information can be generated for up to 56% of all known proteins. However, there is considerable controversy concerning the real value of homology models for drug design. This review provides an overview of the latest developments in this area and includes selected examples of successful applications of the homology modeling technique to pharmaceutically relevant questions. In addition, the strengths and limitations of the application of homology models during all phases of the drug discovery process are discussed.

Indexed as

Drug DesignModels, MolecularSequence Homology, Amino AcidAnimalsComputational Biology

Identifiers

PMID15279849
PMCPMC7129151

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.