title: A theoretical analysis of secondary structural characteristics of anticancer peptides.
abstract: Here, cluster analysis showed that a database of 158 anticancer peptides formed 21 clusters based on net positive charge, hydrophobicity and amphiphilicity. In general, these clusters showed similar median toxicities (P = 0.176) against eukaryotic cell lines and no single combination of these properties was found optimal for efficacy. The database contained 14 peptides, which showed selectivity for tumour cell lines only (ACP(CT)), 123 peptides with general toxicity to eukaryotic cells (ACP(GT)) and 21 inactive peptides (ACP(I)). Hydrophobic arc size analysis showed that there was no significant difference across the datasets although peptides with wide hydrophobic arcs (>270 degrees) appeared to be associated with decreased toxicity. Extended hydrophobic moment plot analysis predicted that over 50% of ACP(CT) and ACP(GT) peptides would be surface active, which led to the suggestion that amphiphilicity is a key driver of the membrane interactions for these peptides but probably plays a role in their efficacy rather than their selectivity. This analysis also predicted that only 14% of ACP(CT) peptides compared to 45% of ACP(GT) peptides were candidates for tilted peptide formation, which led to the suggestion that the absence of this structure may support cancer cell selectivity. However, these analyses predicted that ACP(I) peptides, which possess no anticancer activity, would also form surface active and tilted alpha-helices, clearly showing that other factors are involved in determining the efficacy and selectivity of ACPs.
authors.affiliation: School of Pharmacy and Pharmaceutical Science, University of Central Lancashire, Preston, PR1-2HE, UK.
authors.forename: Sarah R
authors.initials: SR
authors.lastname: Dennison
authors.forename: Frederick
authors.initials: F
authors.lastname: Harris
authors.forename: Tailap
authors.initials: T
authors.lastname: Bhatt
authors.forename: Jaipaul
authors.initials: J
authors.lastname: Singh
authors.forename: David A
authors.initials: DA
authors.lastname: Phoenix
mesh_terms: D000970:Antineoplastic Agents / Q000737:chemistry*; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D057927:Hydrophobic and Hydrophilic Interactions; D010455:Peptides / Q000737:chemistry* / Q000633:toxicity; D021281:Quantitative Structure-Activity Relationship; D055672:Static Electricity
chemical_list: D000970:Antineoplastic Agents; D010455:Peptides