Version 2.0

NCSA Computational Biology - SAPS Results

Statistical Analysis of Protein Sequences.
Algorithm Citation:
Brendel, V., Bucher, P., Nourbakhsh, I.R., Blaisdell, B.E. & Karlin, S. (1992) "Methods and algorithms for statistical analysis of protein sequences" Proc. Natl. Acad. Sci. U.S.A. 89, 2002-2006.
Program Citation:
Volker Brendel, Department of Mathematics,Stanford University, Stanford CA 94305, U.S.A., modified; any errors are due to the modification.
new

new

SAPS.  Version of January 7, 1995.



SWISS-PROT ANNOTATION:
ID   aaaa0039x
DE   aaaa0039x  Unknown form, 60 bases, 1E82 checksum.

number of residues:   60;   molecular weight:   6.8 kdal
 
       1  LKCNKLVPLF YKTCPAGKNI CYKMFMVATP KLPVKRGCID VCPKSSLLVR YVCCNTDKCN




CHARGE DISTRIBUTIONAL ANALYSIS
 
       1  0+00+00000 0+00000+00 00+0000000 +000++000- 000+00000+ 000000-+00

A. CHARGE CLUSTERS.


Positive charge clusters (cmin = 13/30 or 18/45 or 22/60):  none


Negative charge clusters:  not evaluated (frequency of - < 5%, too low)


Mixed charge clusters (cmin = 15/30 or 20/45 or 25/60):  none


B. HIGH SCORING (UN)CHARGED SEGMENTS.






Copyright (C) 1997, Board of Trustees of the University of Illinois.