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Localization predic...
Localization prediction and structure-based in silico analysis of bacterial proteins : with emphasis on outer membrane proteins.
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Imai, Kenichiro (author)
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- Hayat, Sikander (author)
- Stockholms universitet,Institutionen för biokemi och biofysik
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Sakiyama, Noriyuki (author)
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Fujita, Naoya (author)
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Tomii, Kentaro (author)
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- Elofsson, Arne (author)
- Stockholms universitet,Institutionen för biokemi och biofysik
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Horton, Paul (author)
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(creator_code:org_t)
- 2012-09-08
- 2013
- English.
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In: Data Mining for Systems Biology. - New York : Humana Press. - 9781627031066 - 9781627031073 ; , s. 115-140
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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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
Publication and Content Type
- ref (subject category)
- kap (subject category)
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