We introduce a Bayesian model-based approach to simultaneous identification of evolutionary groups and conserved parts of the protein sequences.
We introduce a Bayesian model-based approach to simultaneous identification of evolutionary groups and conserved parts of the protein sequences.
The method has been shown to have high specificity and sensitivity in simulated and real clustering tasks. With real datasets the method also highlights the ...
PDF | The rapid increase in the amount of protein sequence data has created a need for an automated identification of evolutionarily related subgroups.
Bayesian search of functionally divergent protein subgroups and their function specific residues. Pekka Marttinen, Jukka Corander, Petri Törönen, Liisa Holm.
The table shows the inferred numbers of clusters for urease and crotonase datasets by two different methods, the introduced method and SPC.
Hence, the conservation of certain divergent residues within each subgroup reflects important structural or mechanistic distinctions between these subgroups.
Bayesian search of functionally divergent protein subgroups and their function specific residues. Bioinformatics, 22 (2006), pp. 2466-2474. Crossref View in ...
Jan 16, 2018 · One measure aids identification of divergent subgroups based on distinguishing residue patterns. For each subgroup, a second measure identifies ...
Bioinformatics Original Paper Bayesian Search of Functionally Divergent Protein Subgroups and Their Function Specific Residues · P. MarttinenJ. CoranderPetri ...