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Thu, 3 May 2001 08:35:19 +0200 |
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Hi,
in this original BLOSUM62 score matrix the identities of the
amino acids are weighted differently (I suppose, this comes from their
different distribution in nature). In the problem you described
you want to scale all identities to 1 and you will lost this
information, right?
What are the priorities in this transformation? Do you want to
get metric properties? Or do you want to sustain the different
distribution of the amino acids?
Can you give us few words about why do you want to transform
this matrix and how do you want to use it?
Uta Bohnebeck
***************************************************************
Uta Bohnebeck Tel: +49-421-218-7838/ -7090
Universität Bremen Fax: +49-421-218-7196
TZI, IS / AG-KI [log in to unmask]
Universitätsallee 21-23
Postfach 330 440
D-28334 Bremen
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http://www.informatik.uni-bremen.de/~bohnebec/home.html
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-----Ursprüngliche Nachricht-----
Von: Classification, clustering, and phylogeny estimation
[mailto:[log in to unmask]]Im Auftrag von William Shannon
Gesendet: Mittwoch, 2. Mai 2001 19:40
An: [log in to unmask]
Betreff: More protein stuff
As a follow-up to my previous email the first 5 rows,columns of the score
matrix
are:
> blosum62[1:5,1:5]
A R N D C
A 4 -1 -2 -2 0
R -1 5 0 -2 -3
N -2 0 6 1 -3
D -2 -2 1 6 -3
C 0 -3 -3 -3 9
Comparing sequences ARN to ADC gives similarity scores:
(s_AA = 4) + (s_RD = -2) + (s_NC = -3) = -1
and ARN to itself
(s_AA = 4) + (s_RR = 5) + (s_NN = 6) = 15
and ADC to itself
(s_AA = 4) + (s_DD = 6) + (s_CC = 9) = 19
so the similarity matrix is
15 -1
-1 19
--
William D. Shannon, Ph.D.
Assistant Professor of Biostatistics in Medicine
Division of General Medical Sciences and Biostatistics
Washington University School of Medicine
Campus Box 8005, 660 S. Euclid
St. Louis, MO 63110
Phone: 314-454-8356
Fax: 314-454-5113
e-mail: [log in to unmask]
web page: http://ilya.wustl.edu/~shannon
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