2017
DOI: 10.1016/j.biotechadv.2017.02.001
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Computational tools for exploring sequence databases as a resource for antimicrobial peptides

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Cited by 97 publications
(102 citation statements)
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“…Molecular biology could also be an alternative for this identification (Cunha et al., ; Porto, Miranda, Pinto, Dohms, & Franco, ). However, nowadays, with the reduced costs of next‐generation sequencing technologies, the use of computational data mining approaches for identification of AMPs has become more common (Ganz, ; Porto et al., 2017a). The use of RegEx should be highlighted among the common computational data mining techniques, and this has been used in a number of works, especially to find cs‐AMP (Cândido, Fernandes et al., ; Cunha et al., ; Porto et al., ; Silverstein et al., ).…”
Section: Discussionmentioning
confidence: 99%
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“…Molecular biology could also be an alternative for this identification (Cunha et al., ; Porto, Miranda, Pinto, Dohms, & Franco, ). However, nowadays, with the reduced costs of next‐generation sequencing technologies, the use of computational data mining approaches for identification of AMPs has become more common (Ganz, ; Porto et al., 2017a). The use of RegEx should be highlighted among the common computational data mining techniques, and this has been used in a number of works, especially to find cs‐AMP (Cândido, Fernandes et al., ; Cunha et al., ; Porto et al., ; Silverstein et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…Despite the high performance of RegEx, this kind of search identifies sequences by the presence of expressions with fixed, ambiguous, and wildcard characters (Mulvenna et al., ; Porto et al., 2017a; Thompson, ), and for that reason this technique presents a limitation related to the absence of fixed characters (e.g., the initial ZaLTP7 sequence did not present the last cysteine residue, which probably hindered its identification by Cândido, Fernandes et al. ).…”
Section: Discussionmentioning
confidence: 99%
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