Gautam, Ankur and Chaudhary, Kumardeep and Kumar, Rahul and Raghava, G.P.S. (2015) Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides. Methods in molecular biology (Clifton, N.J.), 1324. pp. 59-69. ISSN 1940-6029
Full text not available from this repository. (Request a copy)Abstract
Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in CPP-based research, demonstrating the potential of CPPs as therapeutic candidates. In the past, many in silico algorithms have been developed for the prediction and screening of CPPs, which expedites the CPP-based research. In silico screening/prediction of CPPs followed by experimental validation seems to be a reliable, less time-consuming, and cost-effective approach. This chapter describes the prediction, screening, and designing of novel efficient CPPs using "CellPPD," an in silico tool.
Item Type: | Article |
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Uncontrolled Keywords: | Cell-penetrating peptides – Drug delivery system – Machine learning approach – Virtual screening – Support vector machine – Prediction |
Subjects: | Q Science > QR Microbiology |
Depositing User: | Dr. K.P.S.Sengar |
Date Deposited: | 29 Jan 2016 03:46 |
Last Modified: | 29 Jan 2016 03:46 |
URI: | http://crdd.osdd.net/open/id/eprint/1763 |
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