2019
DOI: 10.1016/j.bbamem.2019.01.017
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Selection and redesign for high selectivity of membrane-active antimicrobial peptides from a dedicated sequence/function database

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Cited by 26 publications
(15 citation statements)
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“…An increase in AMP selective index has also been achieved by QSAR methods, including a computational tool called Mutator ( Table 1). It suggests residue variations by improving peptide selectivity through appropriate mutations, limited to one or two amino-acid substitutions based on QSAR criteria ( Table 2) (Rončević et al, 2019). Interestingly, QSAR has also been used to identify motifs in coiled-coil peptides aiming at facilitating the production of silver nanoparticles forming peptides with antibacterial potential ( Table 2) (Bozic Abram et al, 2016).…”
Section: Antibp2mentioning
confidence: 99%
See 1 more Smart Citation
“…An increase in AMP selective index has also been achieved by QSAR methods, including a computational tool called Mutator ( Table 1). It suggests residue variations by improving peptide selectivity through appropriate mutations, limited to one or two amino-acid substitutions based on QSAR criteria ( Table 2) (Rončević et al, 2019). Interestingly, QSAR has also been used to identify motifs in coiled-coil peptides aiming at facilitating the production of silver nanoparticles forming peptides with antibacterial potential ( Table 2) (Bozic Abram et al, 2016).…”
Section: Antibp2mentioning
confidence: 99%
“…Therefore, diverse computational approaches for designing AMPs consider the helical content as a crucial determinant for generating improved AMPs. Based upon the data summarized here, QSAR-designed AMPs, including dadapin peptides (Rončević et al, 2019), undergo a coil-tohelix transition (Table 2) from hydrophilic to hydrophobic or membrane-like conditions [e.g., 2,2,2-trifluoroethanol (TFE), sodium dodecyl sulfate (SDS), and dodecylphosphocholine (DPC) micelles, as well as liposomes]. Moreover, the de novo design of peptides with greater helicity has resulted in broadspectrum antibacterial activities compared with AMPs with low helical content (Table 2) (Faccone et al, 2014).…”
Section: Structure Profile In Computer-made Ampsmentioning
confidence: 99%
“…A balance between the hydrophobic and hydrophilic character of the peptide facilitates antibacterial activity and selectivity of AMPs, emphasizing a clearly amphipathic structure in an α‐helical conformation (Zhong et al, 2020). This is supported by Rončević et al (2019) in their study based on quantitative structure–activity relationship (QSAR) criteria for the evaluation of an algorithm that implements variations on peptides. The sequences were designed to position amino acids in a configuration where hydrophobic and polar residues did not disrupt amphipathicity, as it is known to correlate with potent membrane‐directed activity.…”
Section: Determinant Features Controlling Antimicrobial Activity Of Pmentioning
confidence: 85%
“…In this case, we select for activity against Gram-positive bacteria, which is followed by optimization using the Mutator. They were shown to have high selectivity indices and comparable activities against Gram-positive and Gram-negative strains [210].…”
Section: Strategies For Identifying or Designing New Ampsmentioning
confidence: 99%