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Related Experiment Videos

Recent developments in computational proteomics.

E T Maggio1, K Ramnarayan

  • 1Structural Bioinformatics Inc., 92127, San Diego, CA, USA. info@strubix.com

Trends in Biotechnology
|June 20, 2001
PubMed
Summary
This summary is machine-generated.

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The human genome

Area of Science:

  • Genomics and structural biology
  • Computational biology and bioinformatics
  • Drug discovery and development

Background:

  • The human genome project completion enables focus on gene products (proteins).
  • Understanding protein roles in biological pathways and disease is crucial.
  • Exploiting protein functions is key for developing novel therapeutics.

Purpose of the Study:

  • To highlight the revolutionary impact of protein structure in rational experimental design.
  • To emphasize the role of 3D and 4D protein structural information in advancing drug discovery.
  • To showcase the utility of computational methodologies in protein structure modeling.

Main Methods:

  • Leveraging large-scale 3D and 4D protein structural data.
  • Employing advanced computational methodologies for protein structure modeling.

Related Experiment Videos

  • Comparing modeled protein structures with experimental crystal structures.

    • Main Results:

    • Improvements in protein structural data quality and availability are driving innovation.
    • Computational methods provide quantitatively comparable protein structures to crystal structures.
    • Modeled structures offer a cost-effective alternative to experimental determination.

    Conclusions:

    • Protein structure is pivotal for the next phase of the post-genomic era.
    • Enhanced protein structural information revolutionizes rational design, particularly in drug discovery.
    • Computational protein structure modeling presents a powerful and economical approach.