Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks.
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...
Main Authors: | Dobchev, D, Mäger, I, Tulp, I, Karelson, G, Tamm, T, Tämm, K, Jänes, J, Langel, U, Karelson, M |
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Format: | Journal article |
Language: | English |
Published: |
2010
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