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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Advanced Drug Delive...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Advanced Drug Delivery Reviews
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Predicting cell-penetrating peptides

Authors: Mats, Hansen; Kalle, Kilk; Ulo, Langel;

Predicting cell-penetrating peptides

Abstract

Possibility to predict short peptide sequences capable to penetrate the plasma membrane opens new opportunities for developing peptide based intracellular delivery vectors, called cell-penetrating peptides (CPPs). Predictions of CPPs, however are often based on trial and error and may not always lead to new potent sequences. In this review we discuss different problems associated with CPP prediction. Additionally, the used methods of CPP prediction are compared. Also, a few suggestions are made for designing new CPP sequences and improvement of predictions.

Related Organizations
Keywords

Cell Membrane Permeability, Drug Delivery Systems, Cell Membrane, Molecular Sequence Data, Animals, Humans, Amino Acid Sequence, Carrier Proteins, Peptides, Algorithms

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
145
Top 1%
Top 10%
Top 1%
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