title: Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.
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.
authors.affiliation: Bioinformatics Centre, CSIR-Institute of Microbial Technology, Sector-39A, Chandigarh, India.
authors.forename: Ankur
authors.initials: A
authors.lastname: Gautam
authors.forename: Kumardeep
authors.initials: K
authors.lastname: Chaudhary
authors.forename: Rahul
authors.initials: R
authors.lastname: Kumar
authors.forename: Gajendra Pal Singh
authors.initials: GP
authors.lastname: Raghava
mesh_terms: D020816:Amino Acid Motifs; D000595:Amino Acid Sequence; D000818:Animals; D057846:Cell-Penetrating Peptides / Q000737:chemistry*; D003198:Computer Simulation; D017076:Computer-Aided Design; D004337:Drug Carriers / Q000737:chemistry*; D006801:Humans; D000069550:Machine Learning; D008969:Molecular Sequence Data; D011506:Proteins / Q000737:chemistry*; D060388:Support Vector Machine
chemical_list: D057846:Cell-Penetrating Peptides; D004337:Drug Carriers; D011506:Proteins