creators_name: Gautam, Ankur
creators_name: Chaudhary, Kumardeep
creators_name: Kumar, Rahul
creators_name: Raghava, G.P.S.
type: article
datestamp: 2016-01-29 03:46:05
lastmod: 2016-01-29 03:46:05
metadata_visibility: show
title: Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.
ispublished: pub
subjects: QR
keywords: Cell-penetrating peptides – Drug delivery system – Machine learning approach – Virtual screening – Support vector machine – Prediction
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.
date: 2015
date_type: published
publication: Methods in molecular biology (Clifton, N.J.)
volume: 1324
publisher: Springer
pagerange: 59-69
refereed: TRUE
issn: 1940-6029
official_url: http://download.springer.com/static/pdf/217/chp%253A10.1007%252F978-1-4939-2806-4_4.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fprotocol%2F10.1007%2F978-1-4939-2806-4_4&token2=exp=1454040805~acl=%2Fstatic%2Fpdf%2F217%2Fchp%25253A10.1007%25252F978-1-493
citation:   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