Evidence map›Paper›PMID 20888294›Full record

ReviewCurrent opinion in pharmacology2010

Computer-aided drug-discovery techniques that account for receptor flexibility.

Jacob D Durrant, J Andrew McCammon

Abstract readReview
In one paragraph

Review in Current opinion in pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Molecular Dynamics as a Tool for Virtual Ligand Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Identification of Antifungal Targets Based on Computer Modeling.Journal of fungi (Basel, Switzerland) · 2018
    Review
  15. Article
  16. Computer-Aided Drug Discovery in Plant Pathology.The plant pathology journal · 2017
    Review
  17. Article
  18. Article
  19. Review
  20. DOCK 6: Impact of new features and current docking performance.Journal of computational chemistry · 2015
    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.

Jacob D DurrantDepartment of Chemistry & Biochemistry, University of California San Diego, La Jolla, CA 92093, USA. jdurrant@ucsd.edu
J Andrew McCammon

Funding

GRADUATE TRAINING IN CELLULAR &MOLECULAR PHARMACOLOGYT32GM007752 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROWN, JOAN HELLER, HANDEL, TRACY M · 1985 to 2023
$13.5M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Howard Hughes Medical InstituteNIGMS NIH HHS GM31749NIGMS NIH HHS R01 GM031749NIGMS NIH HHS T32 GM007752
6 · The paper itself

Abstract

Protein flexibility plays a critical role in ligand binding to both orthosteric and allosteric sites. We here review some of the computer-aided drug-design techniques currently used to account for protein flexibility, ranging from methods that probe local receptor flexibility in the region of the protein immediately adjacent to the binding site, to those that account for general flexibility in all protein regions.

Indexed as

Drug DesignDrug DiscoveryProtein ConformationProtein Structure, TertiaryAllosteric SiteBinding SitesComputer-Aided DesignComputer SimulationHumansMolecular Targeted TherapyPharmaceutical PreparationsProtein BindingProteinsPharmaceutical PreparationsProteins

Identifiers

PMID20888294
PMCPMC3026641

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.