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Author, Editor(s)

Author(s):

Heil, Burkhard
Ludwig, Jost
Lichtenberg-Fraté, Hella
Lengauer, Thomas

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Not MPG Author(s):

Heil, Burkhard
Ludwig, Jost
Lichtenberg-Fraté, Hella

BibTeX cite key*:

Lengauer2006b

Title

Title*:

Computational recognition of potassium channel sequences

Journal

Journal Title*:

Bioinformatics

Journal's URL:


Download URL
for the article:

http://bioinformatics.oxfordjournals.org/cgi/reprint/22/13/1562

Language:

English

Publisher

Publisher's
Name:


Publisher's URL:


Publisher's
Address:


ISSN:





1367-4803


Vol, No, pp, Date

Volume*:

13

Number:

22

Publishing Date:

2006

Pages*:

1562-1568

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:


DOI:


Note, Abstract, ©

Note:


(LaTeX) Abstract:

Motivation: Potassium channels are mainly known for their role in regulating and maintaining the membrane potential. Since this is one of the key mechanisms of signal transduction, malfunction of these potassium channels leads to a wide variety of severe diseases. Thus potassium channels are priority targets of research for new drugs, despite the fact that this protein family is highly variable and closely related to other channels, which makes it very difficult to identify new types of potassium channel sequences.

Results: Here we present a new method for identifying potassium channel sequences (PSM, Property Signature Method), which—in contrast to the known methods for protein classification—is directly based on physicochemical properties of amino acids rather than on the amino acids themselves. A signature for the pore region including the selectivity filter has been created, representing the most common physicochemical properties of known potassium channels. This string enables genome-wide screening for sequences with similar features despite a very low degree of amino acid similarity within a protein family.


URL for the Abstract:

http://portal.acm.org/citation.cfm?id=1182179&jmp=cit&coll=GUIDE&dl=GUIDE&CFID=15151515&CFTOKEN=6184618

Categories,
Keywords:


HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computational Biology and Applied Algorithmics

Audience:

Expert

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Lengauer2006b,
AUTHOR = {Heil, Burkhard and Ludwig, Jost and Lichtenberg-Frat{\'e}, Hella and Lengauer, Thomas},
TITLE = {Computational recognition of potassium channel sequences},
JOURNAL = {Bioinformatics},
YEAR = {2006},
NUMBER = {22},
VOLUME = {13},
PAGES = {1562--1568},
ISBN = {



1367-4803

},
}


Entry last modified by Christine Kiesel, 02/20/2007
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Editor(s)
Ruth Schneppen-Christmann
Created
01/10/2007 09:43:41 AM
Revisions
3.
2.
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0.
Editor(s)
Christine Kiesel
Christine Kiesel
Ruth Schneppen-Christmann
Ruth Schneppen-Christmann
Edit Dates
20.02.2007 16:55:44
20.02.2007 16:47:23
15.02.2007 10:15:45
10.01.2007 09:45:22
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