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Searching databases of conserved sequence regions by aligning protein multiple-alignments [published erratum appears in Nucleic Acids Res 1996 Nov 1;24(21):4372]
Open accessAbstract
A general searching method for comparing multiple sequence alignments was developed to detect sequence relationships between conserved protein regions. Multiple alignments are treated as sequences of amino acid distributions and aligned by comparing pairs of such distributions. Four different comparison measures were tested and the Pearson correlation coefficient chosen. The method is sensitive, detecting weak sequence relationships between protein families. Relationships are detected beyond the range of conventional sequence database searches, illustrating the potential usefulness of the method. The previously undetected relation between flavoprotein subunits of two oxidoreductase families points to the potential active site in one of the families. The similarity between the bacterial RecA, DnaA and Rad51 protein families reveals a region in DnaA and Rad51 proteins likely to bind and unstack single-stranded DNA. Helix--turn--helix DNA binding domains from diverse proteins are readily detected and shown to be similar to each other. Glycosylasparaginase and gamma-glutamyltransferase enzymes are found to be similar in their proteolytic cleavage sites. The method has been fully implemented on the World Wide Web at URL: http://blocks.fhcrc.org/blocks-bin/LAMAvsearch.
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Cited by
Quantifying similarity between motifs
Gupta, S., Stamatoyannopoulos, J. A., Bailey, T. L., & Noble, W. S. (2007) · Genome Biology · doi:10.1186/gb-2007-8-2-r24 · Cited by 2,058
Comparative protein structure modeling using MODELLER
Webb, B., & Sali, A. (2016) · Current Protocols in Protein Science · doi:10.1002/cpps.20 · Cited by 730
“There are a number of variants of profile-profile alignment methods that differ in the scoring functions they use (Pietrokovski, 1996; Rychlewski et al., 1998; Yona and Levitt, 2002; Panchenko, 2003; Sadreyev and Grishin, 2003; von Ohsen et al., 2003; Edgar, 2004; Marti-Renom et al., 2004; Zhou and…”
MethodIncreased coverage of protein families with the Blocks Database servers
Henikoff, J. G. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.228 · Cited by 331
Al-Lazikani, B., Jung, J., Xiang, Z., & Honig, B. (2001) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(00)00164-2 · Cited by 316
Kheradpour, P., Ernst, J., Melnikov, A., Rogov, P., Wang, L., Zhang, X., Alston, J., Mikkelsen, T. S., & Kellis, M. (2013) · Genome Research · doi:10.1101/gr.144899.112 · Cited by 315
Metadata
- Authors
- Pietrokovski, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-10-01
- Volume
- 24
- Issue
- 19
- Pages
- 3836-3845
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W1590648220
- Cited by
- 224
- References
- 0
- Type
- journal article
- Language
- en
- Open access
- green
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- Pietrokovski, S. (1996). Searching databases of conserved sequence regions by aligning protein multiple-alignments [published erratum appears in Nucleic Acids Res 1996 Nov 1;24(21):4372]. Nucleic Acids Research. https://doi.org/10.1093/nar/24.19.3836
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