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Systematic review of literature: Multiple sequential alignment applied to transmembrane proteins

Abstract:

The alignment of multiple sequences of transmembrane (TM) proteins have a high interest in the world of cell biology, since they constitute 30% of the proteins at genomic scale. For years researchers have proposed different heuristic and stochastic techniques for the problem of multiple sequence alignment (MSA) of proteins, which have shown different methods that must be considered when aligning TMP sequences. The techniques so far indicated in this review prove not to be optimal when it comes to the alignment of these transmembrane special proteins. There are few MSA methods applied specifically to TMPs, this systematic review summarizes the characteristics, implementations and performance results of 5 MSA methods applied to TMPs: STAM, ALIGNMENT, PRALINETM, TM-Coffee and TM-Aligner. The same ones that show substantial advances in the precision and computational efforts that align the TMP sequences.