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Related Experiment Video

Updated: Mar 22, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Addressing inaccuracies in BLOSUM computation improves homology search performance.

Martin Hess^1,2, Frank Keul³, Michael Goesele¹

¹Graphics, Capture and Massively Parallel Computing, Department of Computer Science, Technische Universität Darmstadt, Rundeturmstraße 12, Darmstadt, 64283, Germany.

BMC Bioinformatics

|April 29, 2016

Summary

New CorBLOSUM matrices, correcting errors in BLOSUM code, significantly improve protein homology search performance. These matrices outperform original BLOSUM and RBLOSUM types, especially on current databases, making them ideal for sequence alignment tasks.

Keywords:

ASTRAL BLOCKS 13+BLOCKS 14.3 BLOSUM CorBLOSUM Correction Homologous sequence search Performance evaluation RBLOSUM Substitution matrix

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Area of Science:

Bioinformatics
Computational Biology
Structural Bioinformatics

Background:

BLOSUM matrices are standard for protein homology search and sequence alignment since 1992.
Previous work identified miscalculations in BLOSUM matrix computation, leading to RBLOSUM matrices.
RBLOSUM matrices, despite corrections, showed statistically significant performance degradation compared to BLOSUM62.

Purpose of the Study:

To introduce a further corrected version of the BLOSUM code, termed CorBLOSUM.
To conduct a comprehensive performance analysis of BLOSUM, RBLOSUM, and CorBLOSUM matrices.
To evaluate homology search performance across various BLOCKS databases and ASTRAL subsets.

Main Methods:

Derived and analyzed BLOSUM, RBLOSUM, and CorBLOSUM matrices.
Assessed homology search performance using three BLOCKS databases.
Benchmarked matrices on all versions of ASTRAL20, ASTRAL40, and ASTRAL70 subsets (51 benchmarks total).
Focused analysis on BLOSUM50 and BLOSUM62.

Main Results:

Corrected BLOSUM code yields improved substitution matrices beneficial for homology search.
CorBLOSUM matrices matched or exceeded BLOSUM performance in ~75% of cases, outperforming them in >86% on current ASTRAL databases.
RBLOSUM matrices outperformed corresponding BLOSUM matrices in most cases, unlike previous findings.
CorBLOSUM matrices showed superior performance over RBLOSUM matrices on up-to-date ASTRAL databases (~74% of cases).

Conclusions:

CorBLOSUM matrices demonstrate statistically significant performance improvements over BLOSUM matrices, particularly on recent ASTRAL databases.
CorBLOSUM matrices align more closely with the original conceptual design of Henikoff and Henikoff.
Recommends CorBLOSUM matrices for homology search tasks over (R)BLOSUM matrices.