Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling GPCRs.

A C M Paiva1, L Oliveira, F Horn

  • 1CMBI NCMLS, UMC, Geert Grooteplein 28, 6525 GA Nijmegen, The Netherlands.

Ernst Schering Foundation Symposium Proceedings
|August 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bract size affects resource availability and fruit set in a hummingbird-pollinated plant with distyly polymorphism.

Plant biology (Stuttgart, Germany)·2025
Same author

Towards diversity in science - a glance at gender disparity in the Brazilian Society of Neuroscience and Behavior (SBNeC).

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2021
Same author

Biomaterials for bone regeneration: an orthopedic and dentistry overview.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2021
Same author

On the use of Europium (Eu) for designing new metal-based anticancer drugs.

Biochemical and biophysical research communications·2020
Same author

Transplatin ineffectiveness against cancer from a molecular perspective: A single-molecule force-spectroscopy study.

Physical review. E·2020
Same author

Citius, Altius, Fortius.

Proteins·2020
Same journal

Inhibiting Hdm2 and ubiquitin-activating enzyme: targeting the ubiquitin conjugating system in cancer.

Ernst Schering Foundation symposium proceedings·2009
Same journal

Dissecting roles of ubiquitination in the p53 pathway.

Ernst Schering Foundation symposium proceedings·2009
Same journal

Crosstalk between the SUMO and ubiquitin pathways.

Ernst Schering Foundation symposium proceedings·2009
Same journal

The ubiquitin system in health and disease. Preface.

Ernst Schering Foundation symposium proceedings·2009
Same journal

Approaches to discovering drugs that regulate E3 ubiquitin ligases.

Ernst Schering Foundation symposium proceedings·2009
Same journal

Regulation of T cell differentiation and allergic responses by the E3 ubiquitin ligase itch.

Ernst Schering Foundation symposium proceedings·2009
See all related articles

Analyzing bovine rhodopsin structures revealed significant errors in prior G protein-coupled receptor (GPCR) models. Adhering to experimental data, not preconceptions, is crucial for accurate GPCR modeling in drug design.

Area of Science:

  • Structural biology
  • Computational chemistry
  • Pharmacology

Background:

  • G protein-coupled receptors (GPCRs) are critical drug targets.
  • Numerous GPCR models have been developed, primarily for drug design.
  • The bovine rhodopsin structure, released in 2000, provided a benchmark for GPCR modeling.

Purpose of the Study:

  • To evaluate GPCR models built before the bovine rhodopsin structure's release.
  • To identify common pitfalls and improve current GPCR modeling strategies.
  • To emphasize the importance of empirical data in model development.

Main Methods:

  • Analysis of existing GPCR models in light of the bovine rhodopsin structure.
  • Comparison of predicted structural features with experimentally determined ones.

Related Experiment Videos

  • Literature review of GPCR modeling approaches and their outcomes.

    • Main Results:

    • Many pre-rhodopsin GPCR models contained significant inaccuracies.
    • Unexpected structural characteristics of bovine rhodopsin were not predicted by earlier models.
    • Model errors often stemmed from biases towards "common knowledge" rather than all experimental data.

    Conclusions:

    • The field of GPCR modeling is influenced by "common knowledge" that can lead to errors.
    • Rigorous adherence to all experimental facts is essential for developing reliable GPCR models.
    • Accurate GPCR models are vital for successful drug design and discovery.