Format

Send to

Choose Destination
See comment in PubMed Commons below
Med Hypotheses. 2004;62(4):568-74.

A novel sequence similarity searching and visualization method based on overlappingly translated nucleic acids: the blastNP.

Author information

1
Homulus Informatics, 88 Howard, # 1205, San Francisco, CA 94105, USA. jan.biro@sbcglobal.net

Abstract

Sequence data are stored in nucleic acid and protein databases. Searching the nucleic acid databases is very specific but rather insensitive method. Searching protein databases is sensitive but not very specific procedure. It was expected that the combination of these methods might provide an optimal approach. Therefore an alternative method to TblastX has been developed, known as blastNP. Nucleic acids in database and query sequences were translated into overlapping protein-like sequences (overlappingly translated sequences or OTSs) before searching with blastP. Thus, each nucleic acid sequence is represented by a single "protein like" sequence (instead of three hypothetical proteins in different reading frames). The blastNP method is defined as a blastP that is performed on an overlappingly translated nucleic acid database using a similarly converted nucleic acid query. The specificity and sensitivity of blastNP and TblastX is very similar, however blastNP is more sensitive to detect short sequence similarities (less than 50 residues). BlastNP combines the advantages of nucleotide and protein blasts and bypasses many difficulties: (1). it is more sensitive to weak sequence similarities than blastN, (2). codon redundancy is eliminated, (3). the sensitivity to single nucleotide polymorphism, mutation and sequencing errors are reduced, (4). it is insensitive to frame shifts. This novel method was proved to find significant sequence similarities which remained hidden for other methods and is a promising tool for further understanding (and annotating) the function of many old and new sequences.

PMID:
15050109
DOI:
10.1016/j.mehy.2003.11.020
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center