title: Overlap and diversity in antimicrobial peptide databases: compiling a non-redundant set of sequences.
abstract: BACKGROUND
  The large variety of antimicrobial peptide (AMP) databases developed to date are characterized by a substantial overlap of data and similarity of sequences. Our goals are to analyze the levels of redundancy for all available AMP databases and use this information to build a new non-redundant sequence database. For this purpose, a new software tool is introduced.
  
  
  RESULTS
  A comparative study of 25 AMP databases reveals the overlap and diversity among them and the internal diversity within each database. The overlap analysis shows that only one database (Peptaibol) contains exclusive data, not present in any other, whereas all sequences in the LAMP_Patent database are included in CAMP_Patent. However, the majority of databases have their own set of unique sequences, as well as some overlap with other databases. The complete set of non-duplicate sequences comprises 16 990 cases, which is almost half of the total number of reported peptides. On the other hand, the diversity analysis identifies the most and least diverse databases and proves that all databases exhibit some level of redundancy. Finally, we present a new parallel-free software, named Dover Analyzer, developed to compute the overlap and diversity between any number of databases and compile a set of non-redundant sequences. These results are useful for selecting or building a suitable representative set of AMPs, according to specific needs.
authors.affiliation: Grupo de Investigación de Bioinformática, Centro de Estudio de Matemática Computacional, Universidad de las Ciencias Informáticas, La Habana, Cuba.
authors.forename: Longendri
authors.initials: L
authors.lastname: Aguilera-Mendoza
authors.affiliation: Grupo de Investigación en Estudios Químicos y Biológicos, Facultad de Ciencias Básicas, Universidad Tecnológica de Bolívar, Cartagena de Indias, Bolívar, Colombia, Facultad de Química Farmacéutica, Universidad de Cartagena, Cartagena de Indias, Bolívar, Colombia, Instituto de Ciencia Molecular (ICMol), Universitat de València, C/ Catedrático José Beltrán, 2, 46980, Paterna (Valencia), Spain.
authors.forename: Yovani
authors.initials: Y
authors.lastname: Marrero-Ponce
authors.affiliation: Grupo de Investigación de Bioinformática, Centro de Estudio de Matemática Computacional, Universidad de las Ciencias Informáticas, La Habana, Cuba.
authors.forename: Roberto
authors.initials: R
authors.lastname: Tellez-Ibarra
authors.affiliation: Grupo de Investigación de Bioinformática, Centro de Estudio de Matemática Computacional, Universidad de las Ciencias Informáticas, La Habana, Cuba.
authors.forename: Monica T
authors.initials: MT
authors.lastname: Llorente-Quesada
authors.affiliation: Instituto de Ciencia Molecular (ICMol), Universitat de València, C/ Catedrático José Beltrán, 2, 46980, Paterna (Valencia), Spain.
authors.forename: Jesús
authors.initials: J
authors.lastname: Salgado
authors.affiliation: Departamento de Química, Universidade Federal de Lavras, UFLA Caixa Postal 3037, 37200-000 Lavras, MG, Brazil and.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Barigye
authors.affiliation: School of Computing and Mathematics, Faculty of Computing and Engineering, Ulster University, Jordanstown campus, Northern Ireland, UK.
authors.forename: Jun
authors.initials: J
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D023181:Antimicrobial Cationic Peptides / Q000737:chemistry*; D030561:Databases, Nucleic Acid; D030562:Databases, Protein; D006801:Humans; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software
chemical_list: D023181:Antimicrobial Cationic Peptides