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Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks.

Abstract:

An investigation of cell-penetrating peptides (CPPs) by using combination of Artificial Neural Networks (ANN) and Principle Component Analysis (PCA) revealed that the penetration capability (penetrating/non-penetrating) of 101 examined peptides can be predicted with accuracy of 80%-100%. The inputs of the ANN are the main characteristics classifying the penetration. These molecular characteristics (descriptors) were calculated for each peptide and they provide bio-chemical insights for the cr...

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Publisher copy:
10.2174/157340910791202478

Authors


Journal:
Current computer-aided drug design More from this journal
Volume:
6
Issue:
2
Pages:
79-89
Publication date:
2010-04-01
DOI:
EISSN:
1875-6697
ISSN:
1573-4099
Language:
English
Keywords:
Pubs id:
pubs:354338
UUID:
uuid:6df42371-4810-4e44-b4af-54f1a35e75b9
Local pid:
pubs:354338
Source identifiers:
354338
Deposit date:
2013-11-17

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