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Structural proteomics: methods in deriving protein structural information and issues in data management.

Shankari E Mylvaganam1, Muthuchidambram Prabhakaran, Suresh S Tudor

  • 1Structural Bioinformatics, San Diego, CA 92127, USA.

Biotechniques
|March 22, 2002
PubMed
Summary

Structural proteomics aids in understanding protein function and pathways. SBI developed tools to manage vast 1-D and 3-D protein data, supporting life science discovery efforts.

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Area of Science:

  • Structural proteomics
  • Bioinformatics
  • Computational biology

Background:

  • The post-genomic era necessitates efficient processing of protein target information.
  • Understanding protein structure-function relationships is crucial for biological research.
  • Accessing and managing vast amounts of 1-D sequence and 3-D structural data presents a significant challenge.

Purpose of the Study:

  • To address the data management and retrieval needs of structural proteomics.
  • To present SBI's developed approaches and tools for structural proteomics research.
  • To facilitate data analysis and discovery efforts for life science researchers.

Main Methods:

  • Development of an extensive collection of three-dimensional protein structures derived from sequence data.

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  • Implementation of a relational architecture for efficient data management.
  • Utilizing both experimental and theoretical methods for accessing protein structures.

    • Main Results:

    • Creation of a comprehensive database of protein structures.
    • Establishment of a robust relational data management system.
    • Development of tools to support structural proteomics research.

    Conclusions:

    • SBI's integrated approach effectively addresses key challenges in structural proteomics.
    • The developed tools provide valuable resources for life science researchers.
    • This work supports the advancement of protein target identification and functional analysis.