Structure–dependent sequence alignment for remotelyrelated proteins
Structure–dependent sequence alignment for remotelyrelated proteins is a scholarly work, published in 2002 in ''Bioinformatics''. The main subjects of the publication include RNA sequencing, artificial intelligence, protein structure prediction, Loop modeling, computer science, set, structural alignment, protein primary structure, computational biology, protein structure, pattern recognition, multiple sequence alignment, algorithm, biological sequence, sequence alignment, Sequence logo, and Alignment-free sequence analysis. The authors describe a sequence–template alignment method that integrates sequence and structural information to enhance the accuracy of sequence–template alignments for distantly related protein pairs. Results: The structure-dependent sequence alignment (SDSA) procedure was optimized for coverage and accuracy on a training set of 412 protein pairs; the structures for each of the training pairs are similar (RMSD<∼4Å) but the sequence relationship is undetectable (average pair-wise sequence identity = 8%).