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Bioinformatics in protein analysis.

B Persson1

  • 1Stockholm Bioinformatic Centre, Sweden.

EXS
|May 10, 2000
PubMed
Summary
This summary is machine-generated.

This chapter explores essential bioinformatic techniques for protein analysis, including database searching, sequence comparison, and structural prediction. It highlights key resources and methods for researchers in bioinformatics and molecular biology.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • Protein analysis is crucial in molecular biology and drug discovery.
  • Bioinformatic tools are indispensable for handling large biological datasets.
  • Understanding protein structure and function requires advanced computational methods.

Purpose of the Study:

  • To provide a comprehensive overview of bioinformatic techniques for protein analysis.
  • To guide researchers to relevant databases and World Wide Web resources.
  • To cover sequence analysis, structural prediction, and related computational tools.

Main Methods:

  • Database searching (EMBL, GenBank, DDBJ, Swissprot, PIR, PDB, SRS, Entrez).
  • Sequence comparison algorithms (FASTA, BLAST) and multiple sequence alignment (Clustal).

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  • Structural prediction methods (Chou-Fasman, Garnier-Osguthorpe-Robson, Predator, PHD).

    • Main Results:

    • Detailed review of major biological databases for nucleotide, amino acid, and 3D structure data.
    • Description of widely used sequence comparison and alignment tools.
    • Overview of various secondary and specialized structure prediction techniques.

    Conclusions:

    • Bioinformatic techniques are vital for modern protein analysis.
    • Access to curated databases and efficient algorithms accelerates research.
    • These tools aid in understanding protein function, structure, and modifications.