2020
DOI: 10.3389/fmolb.2020.00066
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Bioinformatics and Biosimulations as Toolbox for Peptides and Peptidomimetics Design: Where Are We?

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Cited by 46 publications
(51 citation statements)
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References 129 publications
(142 reference statements)
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“…The identification of the unbinding path of GC7, together with the comparative description of the structural and dynamical differences between aDHS and hDHS, provides a broad set of crucial information for the design of a new class of inhibitors, not only able to block the hypusination process but also the formation of the DHS–eIF5A complex. In the first instance, these information can be used to filter out the most promising potential inhibitory compounds during a virtual screening routine and, second, to drive the design of peptides/peptidomimetics, molecules highly suitable to inhibit protein–protein interactions (D'Annessa et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…The identification of the unbinding path of GC7, together with the comparative description of the structural and dynamical differences between aDHS and hDHS, provides a broad set of crucial information for the design of a new class of inhibitors, not only able to block the hypusination process but also the formation of the DHS–eIF5A complex. In the first instance, these information can be used to filter out the most promising potential inhibitory compounds during a virtual screening routine and, second, to drive the design of peptides/peptidomimetics, molecules highly suitable to inhibit protein–protein interactions (D'Annessa et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…Both the NMR and ESR data show a direct interaction of C8 with the membrane bilayers composed with a higher concentration of the zwitterionic DOPC phospholipids. In order to provide mechanistic insight into the peptide/membrane binding interaction, we performed atomistic molecular dynamics simulations, a well-established approach to study peptides functional and structural properties (D'Annessa et al, 2020 ), on C8 in six different membrane models composed by the same ratios of zwitterionic/negatively charged lipids used in the experiments. Specifically, they are (i) pure DOPC 100:0, (ii) DOPC/DOPG 90:10, (iii) 60:40, (iv) 40:60, (v) 10:90, and (vi) pure DOPG 0:100 ( Figures 4 , 5 ).…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, these components also provide a direction for researchers to develop new diagnostic antigens for brucellosis, and the development of immunoinformatic technology provides tools for the development of new diagnostic antigens. Immunoinformatic is based on bioinformatic tools, an emerging science that integrates life sciences, computer science, and mathematics [19,20]. Immunoinformatic technology uses bioinformatic tools to treat pathogens without cultivating them.…”
Section: Discussionmentioning
confidence: 99%