PMB matrix

PMB matrix implements an evolutionary substitution model that derives amino acid substitution probabilities from the Blocks database to improve protein sequence alignment and evolutionary analysis relative to PAM-type and BLOSUM matrices.


Key Features:

  • Evolutionary Model Integration: Derived from the Blocks database and incorporating the additivity of evolutionary distances to approximate amino acid substitution probabilities as a function of evolutionary distance.
  • Compatibility with BLOSUM Matrices: Maintains compatibility with the BLOSUM series of substitution matrices for use in BLOSUM-based analyses.
  • Enhanced Accuracy in Sequence Alignment: Corrects for multiple hits to address limitations of PAM-type and traditional BLOSUM matrices, improving alignment accuracy across varying sequence divergences.
  • Implementation in Analysis Software: Implemented within Pseq-gen and usable alongside Ziheng Yang's PAML software for incorporation into computational workflows.

Scientific Applications:

  • Phylogenetic analysis: Provides substitution probabilities for phylogenetic inference and model-based sequence evolution studies.
  • Comparative genomics: Improves detection of homologs and comparative analyses by using substitution models that reflect true evolutionary distances.
  • Functional annotation: Aids inference of conserved residues and functional divergence by modeling amino acid substitutions over evolutionary time scales.

Methodology:

Constructs probabilistic substitution matrices from empirical alignments in the Blocks database, incorporates additivity of evolutionary distances, and corrects for multiple hits to estimate amino acid substitution probabilities.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
C
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Veerassamy S, Smith A, Tillier ERM. A Transition Probability Model for Amino Acid Substitutions from Blocks. Journal of Computational Biology. 2003;10(6):997-1010. doi:10.1089/106652703322756195. PMID:14980022.

Documentation

Links