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Localization prediction and structure-based in silico analysis of bacterial proteins : with emphasis on outer membrane proteins.

Imai, Kenichiro (author)
Hayat, Sikander (author)
Stockholms universitet,Institutionen för biokemi och biofysik
Sakiyama, Noriyuki (author)
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Fujita, Naoya (author)
Tomii, Kentaro (author)
Elofsson, Arne (author)
Stockholms universitet,Institutionen för biokemi och biofysik
Horton, Paul (author)
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 (creator_code:org_t)
2012-09-08
2013
English.
In: Data Mining for Systems Biology. - New York : Humana Press. - 9781627031066 - 9781627031073 ; , s. 115-140
  • Book chapter (peer-reviewed)
Abstract Subject headings
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  • In this chapter, we first discuss protein localization in bacteria and evaluate some localization prediction tools on an independent dataset. Next, we focus on β-barrel outer membrane proteins (BOMPs), describing and evaluating new tools for BOMP detection and topology prediction. Finally, we apply general protein structure prediction methods on these proteins to show that the structure of most BOMPs in E. coli can be modeled reliably.

Subject headings

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)

Keyword

Protein localization
Topologyprediction
β-barrelmembrane proteins
SVM
HMM

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