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

Bioinformatics: from genome to drug targets.

Svein G Dahl1, Kurt Kristiansen, Ingebrigt Sylte

  • 1Department of Pharmacology, Institute of Medical Biology, Faculty of Medicine, University of Tromsø, Norway. sgd@fagmed.uit.no

Annals of Medicine
|October 10, 2002
PubMed
Summary

Understanding membrane protein structure is key for drug discovery. This study combined bioinformatics and experiments to model key membrane proteins, revealing insights into their function and potential for new pharmaceuticals.

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

Identification of novel <i>N</i>-benzyloxy-amino acid hydroxamates as inhibitors of the virulence factor LasB from <i>Pseudomonas aeruginosa</i>.

RSC medicinal chemistry·2025
Same author

Interactions of substrates and phosphinyl containing inhibitors with bacterial and human zinc proteases.

PloS one·2025
Same author

Identification of Orthosteric GABA<sub>B</sub> Receptor Ligands by Virtual Screening and <i>In Vitro</i> Validation.

ACS omega·2025
Same author

Homology Modeling of Transporter Proteins.

Methods in molecular biology (Clifton, N.J.)·2023
Same author

Zinc-Chelating Compounds as Inhibitors of Human and Bacterial Zinc Metalloproteases.

Molecules (Basel, Switzerland)·2022
Same author

Specific interactions between the alkaline protease of P. aeruginosa and its natural peptide inhibitor: ab initio molecular simulations.

Journal of molecular modeling·2021

Area of Science:

  • Biochemistry and Structural Biology
  • Pharmacology
  • Computational Biology

Background:

  • The human genome project shifted focus to gene product function, highlighting membrane proteins as crucial drug targets.
  • Membrane proteins, including transporters and receptors, are vital for cellular processes but structurally challenging to study.
  • Existing methods like NMR and X-ray diffraction are difficult for membrane proteins due to their lipid environment.

Purpose of the Study:

  • To address the lack of structural data for membrane proteins.
  • To utilize computational modeling combined with experimental data for structural insights.
  • To investigate ligand-protein interactions and mechanisms of action for drug discovery.

Main Methods:

  • Employed a hybrid approach integrating bioinformatics and experimental techniques.

Related Experiment Videos

  • Developed molecular models for two key membrane protein classes: sodium:neurotransmitter symporter family (SNF) transporters and G-protein coupled receptors (GPCRs).
  • Utilized computational models to analyze ligand-protein interactions and signaling/transport mechanisms, guiding site-directed mutagenesis studies.
  • Main Results:

    • Generated novel structural models for SNF transporters and GPCRs.
    • Examined ligand interactions and elucidated transport/signaling mechanisms.
    • Identified potential avenues for experimental validation through site-directed mutagenesis.

    Conclusions:

    • The integrated modeling approach provides valuable insights into membrane protein function.
    • Understanding these mechanisms can accelerate the discovery and development of new pharmaceuticals targeting membrane proteins.
    • This study demonstrates the power of combining computational and experimental methods in membrane protein research.