Evidence map›Paper›PMID 12496074›Full record

ArticleBiophysical journal2002

Structure modeling of the chemokine receptor CCR5: implications for ligand binding and selectivity.

M Germana Paterlini

Open access · bronzeAbstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in Biophysical journal, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.3field-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

24 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Review
  3. "Designer babies?!" A CRISPR-based learning module for undergraduates built around the CCR5 gene.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Maraviroc: a review of its use in HIV infection and beyond.Drug design, development and therapy · 2015
    Review
  10. Impact of chemokines CCR5∆32, CXCL12G801A, and CXCR2C1208T on bladder cancer susceptibility in north Indian population.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  11. Article
  12. Article
  13. Article
  14. In silico studies on DARC.Infectious disorders drug targets · 2009
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. CCR5 interactions with the variable 3 loop of gp120.Journal of molecular modeling · 2007
    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

1 author at 1 institution in 1 country.

M Germana PaterliniDepartment of Medicinal Chemistry and Supercomputer Institute, University of Minnesota, Minneapolis, MN 55455, USA. germana@certusoft.com
University of Minnesota · US

Funding

NIDA NIH HHS 5 K01 DA 0073
6 · The paper itself

Abstract

The G-protein coupled receptor CCR5 is the main co-receptor for macrophage-tropic HIV-1 strains. I have built a structural model of the chemokine receptor CCR5 and used it to explain the binding and selectivity of the antagonist TAK779. Models of the extracellular (EC) domains of CCR5 have been constructed and used to rationalize current biological data on the binding of HIV-1 and chemokines. Residues spanning the transmembrane region of CCR5 have been modeled after rhodopsin, and their functional significance examined using the evolutionary trace method. The receptor cavity shares six residues with CC-chemokine receptors CCR1 through CCR4, while seven residues are unique to CCR5. The contribution of these residues to ligand binding and selectivity is tested by molecular docking simulations of TAK779 to CCR1, CCR2, and CCR5. TAK779 binds to CCR5 in the cavity formed by helices 1, 2, 3, and 7 with additional interactions with helices 5 and 6. TAK779 did not dock to either CCR1 or CCR2. The results are consistent with current site-directed mutagenesis data and with the observed selectivity of TAK779 for CCR5 over CCR1 and CCR2. The specific residues responsible for the observed selectivity are identified. The four EC regions of CCR5 have been modeled using constrained simulated annealing simulations. Applied dihedral angle constraints are representative of the secondary structure propensities of these regions. Tertiary interactions, in the form of distance constraints, are generated from available epitope mapping data. Analysis of the 250 simulated structures provides new insights to the design of experiments aimed at determining residue-residue contacts across the EC domains and for mapping CC-chemokines on the surface of the EC domains.

Indexed as

Models, BiologicalModels, MolecularAmidesAmino AcidsAmino Acid SequenceAnimalsCCR5 Receptor AntagonistsComputer SimulationExtracellular SpaceHumansLigandsMembrane ProteinsMiceMolecular Sequence DataPeptide FragmentsProtein BindingAmidesAmino AcidsCCR5 Receptor AntagonistsLigandsMembrane ProteinsPeptide FragmentsQuaternary Ammonium CompoundsReceptors, CCR5Receptors, ChemokineTAK 779

Identifiers

PMID12496074
PMCPMC1302382
OpenAlexW2107973727

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.