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Related Experiment Videos

OXBench: a benchmark for evaluation of protein multiple sequence alignment accuracy.

G P S Raghava1, Stephen M J Searle, Patrick C Audley

  • 1School of Life Sciences, University of Dundee, Dow St, Dundee, DD1 5EH, Scotland, UK. raghava@imtech.res.in

BMC Bioinformatics
|October 14, 2003
PubMed
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Benchmarking protein sequence alignment methods using OXBench reveals that improved scoring matrices, not algorithms, drive accuracy gains. T-COFFEE shows superior performance, highlighting future potential for enhanced protein structure prediction.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Structural Bioinformatics

Background:

  • Accurate protein sequence alignment is crucial for predicting protein structure and identifying functional residues.
  • The reliability of predictions hinges on the precision of sequence alignments.
  • Existing methods require robust benchmarking to assess and improve their accuracy.

Purpose of the Study:

  • To introduce OXBench, a suite of reference alignments and evaluation tools for benchmarking sequence alignment algorithms.
  • To assess the current state-of-the-art in multiple sequence alignment accuracy.
  • To provide a baseline for evaluating novel alignment methods.

Main Methods:

  • Development of OXBench, a benchmark suite comprising reference alignments derived from 3D protein structure comparisons.

Related Experiment Videos

  • Implementation of evaluation measures and software for automated alignment benchmarking.
  • Testing OXBench on alignments generated by the AMPS method and comparing eight different multiple alignment algorithms.

    • Main Results:

    • The AMPS (A Simple Hierarchical Multiple Alignment Algorithm) method performed comparably to or better than CLUSTALW when using BLOSUM matrices.
    • AMPS achieved 89.9% accuracy in Structurally Conserved Regions (SCRs) across 672 alignments.
    • T-COFFEE demonstrated superior accuracy (91.4%) on families with fewer than 8 sequences, outperforming CLUSTALW (88.9%).

    Conclusions:

    • OXBench effectively assesses progress in sequence alignment techniques, with reference-dependent and independent measures showing good discrimination.
    • Improvements in alignment accuracy since 1985 are primarily attributed to enhanced pair-score matrices, with algorithmic refinements playing a lesser role (except for T-COFFEE).
    • Future accuracy gains are anticipated, as the maximum pooled accuracy reached 94.5%, with significant room for improvement in low-identity alignments.