Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

• Published in: Briefings in bioinformatics Vol. 21; no. 2; pp. 408 - 420
• Main Authors: Su, Ran, Hu, Jie, Zou, Quan, Manavalan, Balachandran, Wei, Leyi
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 23.03.2020; Oxford Publishing Limited (England)
• Subjects: Comparative studies; Empirical analysis; Learning algorithms; Machine learning; Oligonucleotides; Peptides; Prediction models; web servers; feature representation; cell-penetrating peptides; machine learning algorithm

Abstract Cell-penetrating peptides (CPPs) facilitate the delivery of therapeutically relevant molecules, including DNA, proteins and oligonucleotides, into cells both in vitro and in vivo. This unique ability explores the possibility of CPPs as therapeutic delivery and its potential applications in...