Evidence map›Paper›PMID 19594422›Full record

ReviewInfectious disorders drug targets2009

Benefits of structural genomics for drug discovery research.

Marek Grabowski, Maksymilian Chruszcz, Matthew D Zimmerman, Olga Kirillova, Wladek Minor

Open access · greenAbstract readReview
In one paragraph

Review in Infectious disorders drug targets, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A public database of macromolecular diffraction experiments.Acta crystallographica. Section D, Structural biology · 2016
    Article
  10. Progress in protein crystallography.Protein and peptide letters · 2016
    Article
  11. Review
  12. The future of crystallography in drug discovery.Expert opinion on drug discovery · 2014
    Review
  13. The quality and validation of structures from structural genomics.Methods in molecular biology (Clifton, N.J.) · 2014
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Unmet challenges of structural genomics.Current opinion in structural biology · 2010
    Review
  20. To automate or not to automate: this is the question.Journal of structural and functional genomics · 2010
    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 at 1 institution in 1 country.

Marek GrabowskiDepartment of Molecular Physiology and Biological Physics, University of Virginia, 1340 Jefferson Park Avenue, Charlottesville, VA 22908, USA.
Maksymilian Chruszcz
Matthew D Zimmerman
Olga Kirillova
Wladek Minor
University of Virginia · US

Funding

The Midwest Center for Structural GenomicsU54GM074942 · NIGMS · UNIVERSITY OF CHICAGO · PI FREMONT, DAVED H. · 2005 to 2009
$51.0M
X-RAY CRYSTALLOGRAPHY OF MACROMOLECULESR01GM053163 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI MINOR, WLADEK, OTWINOWSKI, ZBYSZEK · 1996 to 2014
$6.3M
NIAID NIH HHS HHSN272200700058CNIGMS NIH HHS GM53163NIGMS NIH HHS GM74942NIGMS NIH HHS R01 GM053163NIGMS NIH HHS U54 GM074942
6 · The paper itself

Abstract

While three dimensional structures have long been used to search for new drug targets, only a fraction of new drugs coming to the market has been developed with the use of a structure-based drug discovery approach. However, the recent years have brought not only an avalanche of new macromolecular structures, but also significant advances in the protein structure determination methodology only now making their way into structure-based drug discovery. In this paper, we review recent developments resulting from the Structural Genomics (SG) programs, focusing on the methods and results most likely to improve our understanding of the molecular foundation of human diseases. SG programs have been around for almost a decade, and in that time, have contributed a significant part of the structural coverage of both the genomes of pathogens causing infectious diseases and structurally uncharacterized biological processes in general. Perhaps most importantly, SG programs have developed new methodology at all steps of the structure determination process, not only to determine new structures highly efficiently, but also to screen protein/ligand interactions. We describe the methodologies, experience and technologies developed by SG, which range from improvements to cloning protocols to improved procedures for crystallographic structure solution that may be applied in "traditional" structural biology laboratories particularly those performing drug discovery. We also discuss the conditions that must be met to convert the present high-throughput structure determination pipeline into a high-output structure-based drug discovery system.

Indexed as

Drug DiscoveryComputational BiologyGenomicsHumansLigandsMolecular StructureProtein ConformationProteinsLigandsProteins

Identifiers

PMID19594422
PMCPMC2866842
OpenAlexW2136356069

What OpenQuestion holds

Textmetadata
LicenceTDM
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.