Motivation: Position specific scoring matrices (PSSMs) corresponding to aligned sequences of homologous proteins are commonly used in homology detection. A PSSM is generated on the basis of one of the homologues as a reference sequence, which is the query in the case of PSI-BLAST searches. The reference sequence is chosen arbitrarily while generating PSSMs for reverse BLAST searches. In this work we demonstrate that the use of multiple PSSMs corresponding to a given alignment and variable reference sequences is more effective than using traditional single PSSMs and hidden Markov models. Results: Searches for proteins with known 3-D structures have been made against three databases of protein family profiles corresponding to known structures: (1) One PSSM per family; (2) multiple PSSMs corresponding to an alignment and variable reference sequences for every family; and (3) hidden Markov models. A comparison of the performances of these three approaches suggests that the use of multiple PSSMs is most effective. © The Author 2005. Published by Oxford University Press. All rights reserved.
CITATION STYLE
Anand, B., Gowri, V. S., & Srinivasan, N. (2005). Use of multiple profiles corresponding to a sequence alignment enables effective detection of remote homologues. Bioinformatics, 21(12), 2821–2826. https://doi.org/10.1093/bioinformatics/bti432
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