Based on conservation of PCP descriptors, quantitative descriptors for amino acids based on multi-dimensional scaling of 237 physical-chemical properties,
PCPMer has a set of tools that can automatically detect motifs in a protein family,
subsequently identifies related members in protein sequence database or family
motif database and find the function sites on the surface.
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Multiple Alignment Generator - Generate homology sequences based on Blastp's
result, then reduces the redundant sequences by CD-hit or taxonomy information,
finally, run Clustalw to generate Multiple Sequences Alignment. Also
user can reselect the sequences in the result set or based on taxonomy report.
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Motif Maker - Identify the conserved continuous residues segment, motif,
which that can be used for experimental mutational design to analyze function of a protein family.
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Motif Search / Sequence DB - Identify structural and
functionally related sequences that share similar motifs.
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Motif Search / Single Sequence - Based on family motif profile , find
the motifs in a query sequence.
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SVP Visualization - 3D images of protein structures colored according to variability, as determined by
PCPMer, can be used to visualize residues conserved in their physical chemical properties (PCPs)
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Sequence comparison to Motif DB-
Search motifs database to find related motifs with the query sequence. (Under
Construction)
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Search for Motif in Motif DB -
Search motifs database to find related motifs with the query motif. (Under
Construction)
A few of PCPMer applications can be found at AutoMotif(PCPMer Motif Management System).
We are constructing databases of motifs for function related protein, such as Allergen, Titin,....(Web
site is under
Construction)
- Info of PCPMer
- Authors
- References
- Schein,
C.H., Zhou, B. and Braun, W. Stereophysicochemical variability plots
highlight conserved antigenic areas in Flaviviruses.
Virol.
J. Apr 21;2(1):40, 2005.
[Abstract]
[Full
Paper]
- Schein, C.H.,
Zhou, B., Oezguen, N., Mathura, V.S., Braun, W., 2005,
"Molego-based definition of the architecture and specificity of metal
binding sites" Proteins
58(1):200-210 [Abstract] [Full
Paper]
- Venkatarajan, M.S.,
Schein, C. H., Braun W., 2003, "Identifying
physical chemical property based sequence motifs in protein families
and superfamilies: Application to DNase I related endonuclease", Bioinformatics 19:1381-1390 [Abstract]
[Full
Paper]
- Schein, CH , Ozgun N, Izumi T, Braun W. 2002, "Total sequence
decomposition distinguishes functional modules, "molegos" in apurinic/apyrimidinic
endonucleases" BMC
Bionformatics 3(1):37 [HTML]
- Venkatarajan, M.S. 2002, "Automated generation of sequence motifs
and three dimensional models of proteins and their applications" UTMB Dissertation [HTML]
- Venkatarajan, M.S., Braun W., 2001, "New quantitative descriptors
for amino acids based on multidimensional scaling of a large number of
physical-chemical properties", J Mol Modeling
7:445-453 [HTML]
[PDF]
[Abstract]
- Acknowledgements
The developement of PCPMer software is supported by the U.S. Department of Energy (DE-FG-00ER63041), a Research Development Grant (#2535-01) from the John Sealy Memorial Endowment Fund for Biomedical Research, and by FDA Grant FD-U-002249-1