BCL::Align-sequence alignment and fold recognition with a custom scoring function online.

Dong E, Smith J, Heinze S, Alexander N, Meiler J
Gene. 2008 422 (1-2): 41-6

PMID: 18601985 · PMCID: PMC2658673 · DOI:10.1016/j.gene.2008.06.006

BCL::Align is a multiple sequence alignment tool that utilizes the dynamic programming method in combination with a customizable scoring function for sequence alignment and fold recognition. The scoring function is a weighted sum of the traditional PAM and BLOSUM scoring matrices, position-specific scoring matrices output by PSI-BLAST, secondary structure predicted by a variety of methods, chemical properties, and gap penalties. By adjusting the weights, the method can be tailored for fold recognition or sequence alignment tasks at different levels of sequence identity. A Monte Carlo algorithm was used to determine optimized weight sets for sequence alignment and fold recognition that most accurately reproduced the SABmark reference alignment test set. In an evaluation of sequence alignment performance, BCL::Align ranked best in alignment accuracy (Cline score of 22.90 for sequences in the Twilight Zone) when compared with Align-m, ClustalW, T-Coffee, and MUSCLE. ROC curve analysis indicates BCL::Align's ability to correctly recognize protein folds with over 80% accuracy. The flexibility of the program allows it to be optimized for specific classes of proteins (e.g. membrane proteins) or fold families (e.g. TIM-barrel proteins). BCL::Align is free for academic use and available online at http://www.meilerlab.org/.

MeSH Terms (8)

Algorithms Internet Monte Carlo Method Protein Folding Proteins Protein Structure, Secondary Sequence Alignment Sequence Analysis, Protein

Connections (2)

This publication is referenced by other Labnodes entities:

Links