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Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues

Designing drug delivery vehicles using cell-penetrating peptides is a hot area of research in the field of medicine. In the past, number of in silico methods have been developed for predicting cell-penetrating property of peptides containing natural residues. In this study, first time attempt has be...

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Auteurs principaux: Vinod Kumar, Piyush Agrawal, Rajesh Kumar, Sherry Bhalla, Salman Sadullah Usmani, Grish C. Varshney, Gajendra P. S. Raghava
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2018-04-01
Collection:Frontiers in Microbiology
Sujets:
modified cell-penetrating peptides
machine learning
Random Forest
SVM
in silico method
chemical descriptors
Accès en ligne:http://journal.frontiersin.org/article/10.3389/fmicb.2018.00725/full
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