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FFAS03: a server for profile--profile sequence alignments.

Lukasz Jaroszewski1, Leszek Rychlewski, Zhanwen Li

  • 1Bioinformatics Program, The Burnham Institute, 10901 N. Torrey Pines Road, La Jolla, CA 92037, USA.

Nucleic Acids Research
|June 28, 2005
PubMed
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The FFAS03 server offers advanced protein fold prediction using profile-profile alignment, enhancing remote homology detection. This tool aids researchers in understanding protein function and structure.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Bioinformatics

Background:

  • Protein structure prediction is crucial for understanding protein function.
  • Detecting remote homologies is challenging but essential for evolutionary and functional insights.
  • Existing methods struggle with distant evolutionary relationships.

Purpose of the Study:

  • To present the FFAS03 server, an updated web interface for the FFAS algorithm.
  • To improve the detection of remote protein homologies.
  • To provide researchers with a robust tool for fold recognition and protein function assignment.

Main Methods:

  • Utilizes the third-generation profile-profile alignment algorithm.
  • Generates sequence profiles from user-submitted protein sequences.

Related Experiment Videos

  • Compares generated profiles against comprehensive databases (PDB, COG, PFAM, SCOP).

    • Main Results:

    • FFAS03 consistently ranks among top fold prediction methods in competitions (CAFASP, LiveBench).
    • The algorithm effectively detects remote homologies missed by other methods.
    • The server provides access to alignment analysis, multiple alignment, and comparative modeling.

    Conclusions:

    • FFAS03 is a powerful and accessible tool for protein fold recognition and homology detection.
    • The server facilitates deeper understanding of protein families and functions.
    • Open access encourages broad adoption in academic and commercial research.