Jove
Visualize
Contact Us

Related Experiment Videos

Computational function assignment for potential drug targets: from single genes to cellular systems.

S B Nagl1

  • 1Department of Biochemistry and Molecular Biology, University College London. nagl@biochemistry.ucl.ac.uk

Current Drug Targets
|August 17, 2002
PubMed
Summary

The post-genome era offers vast data for drug discovery. Computational methods and integrated approaches are key to understanding gene and protein functions for advancing biomedical science.

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

Can correlated mutations in protein domain families be used for protein design?

Briefings in bioinformatics·2001
Same author

Prediction of interaction partners for orphan nuclear receptors by prior-based protein sequence profiles.

Journal of molecular recognition : JMR·2000
Same author

The PWWP domain: a potential protein-protein interaction domain in nuclear proteins influencing differentiation?

FEBS letters·2000
Same author

Evolutionary constraint networks in ligand-binding domains: an information-theoretic approach.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·1999
Same author

v-erbA oncogene initiates ultrastructural changes characteristic of early and intermediate events of meiotic maturation in Xenopus oocytes.

Journal of cellular biochemistry·1997
Same author

Constitutive transactivation by the thyroid hormone receptor and a novel pattern of activity of its oncogenic homolog v-ErbA in Xenopus oocytes.

Molecular endocrinology (Baltimore, Md.)·1995
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

Area of Science:

  • Biomedical Science
  • Genomics
  • Computational Biology

Background:

  • The biomedical field is transitioning to the post-genome era, driven by large-scale genome sequencing.
  • Advances in transcriptomics and proteomics aid in molecular disease characterization.
  • Limited knowledge of gene and protein functions hinders data utilization.

Purpose of the Study:

  • To review computational techniques for predicting biological functions.
  • To highlight emerging methods for enhanced function understanding.
  • To discuss data integration and cellular system modeling for function prediction.

Main Methods:

  • Review of current computational function prediction techniques.
  • Exploration of the sequence-structure-function paradigm.

Related Experiment Videos

  • Discussion of novel approaches integrating diverse data sources.

    • Main Results:

    • Genome sequencing provides unprecedented data for drug discovery.
    • Transcriptomic and proteomic data are crucial for molecular disease understanding.
    • Computational methods are essential for predicting gene and protein functions.

    Conclusions:

    • Harnessing post-genome data requires advanced computational tools.
    • Integrating diverse data and modeling cellular systems will expand functional insights.
    • Improved function prediction is vital for advancing drug discovery and biomedical research.