Conformation and membrane interaction studies of the potent antimicrobial and anticancer peptide palustrin-Ca.

Palustrin-Ca (GFLDIIKDTGKEFAVKILNNLKCKLAGGCPP) is a host defence peptide with potent antimicrobial and anticancer activities, first isolated from the skin of the American bullfrog Lithobates catesbeianus. The peptide is 31 amino acid residues long, cationic and amphipathic. Two-dimensional NMR spectroscopy was employed to characterise its three-dimensional structure in a 50/50% water/2,2,2-trifluoroethanol-[Formula: see text] mixture.

Biophysical study of the structure and dynamics of the antimicrobial peptide maximin 1.

Maximin 1 is a cationic, amphipathic antimicrobial peptide found in the skin secretions and brains of the Chinese red belly toad Bombina maxima. The 27 amino acid residue-long peptide is biologically interesting as it possesses a variety of biological activities, including antibacterial, antifungal, antiviral, antitumour and spermicidal activities. Its three-dimensional structural model was obtained in a 50/50% water/2,2,2-trifluoroethanol-d mixture using two-dimensional NMR spectroscopy.

APPTEST is a novel protocol for the automatic prediction of peptide tertiary structures.

Good knowledge of a peptide's tertiary structure is important for understanding its function and its interactions with its biological targets. APPTEST is a novel computational protocol that employs a neural network architecture and simulated annealing methods for the prediction of peptide tertiary structure from the primary sequence. APPTEST works for both linear and cyclic peptides of 5-40 natural amino acids.

ENNAVIA is a novel method which employs neural networks for antiviral and anti-coronavirus activity prediction for therapeutic peptides.

Viruses represent one of the greatest threats to human health, necessitating the development of new antiviral drug candidates. Antiviral peptides often possess excellent biological activity and a favourable toxicity profile, and therefore represent a promising field of novel antiviral drugs. As the quantity of sequencing data grows annually, the development of an accurate in silico method for the prediction of peptide antiviral activities is important.

ENNAACT is a novel tool which employs neural networks for anticancer activity classification for therapeutic peptides.

The prevalence of cancer as a threat to human life, responsible for 9.6 million deaths worldwide in 2018, motivates the search for new anticancer agents. While many options are currently available for treatment, these are often expensive and impact the human body unfavourably.

HAPPENN is a novel tool for hemolytic activity prediction for therapeutic peptides which employs neural networks.

The growing prevalence of resistance to antibiotics motivates the search for new antibacterial agents. Antimicrobial peptides are a diverse class of well-studied membrane-active peptides which function as part of the innate host defence system, and form a promising avenue in antibiotic drug research. Some antimicrobial peptides exhibit toxicity against eukaryotic membranes, typically characterised by hemolytic activity assays, but currently, the understanding of what differentiates hemolytic and non-hemolytic peptides is limited.

Structural and positional studies of the antimicrobial peptide brevinin-1BYa in membrane-mimetic environments.

Brevinin-1BYa (FLPILASLAAKFGPKLFCLVTKKC), first isolated from skin secretions of the foothill yellow-legged frog Rana boylii, shows broad-spectrum activity, being particularly effective against opportunistic yeast pathogens. The structure of brevinin-1BYa was investigated in various solution and membrane-mimicking environments by proton nuclear magnetic resonance ( H-NMR) spectroscopy and molecular modelling. The peptide does not possess a secondary structure in aqueous solution.

Insights into conformation and membrane interactions of the acyclic and dicarba-bridged brevinin-1BYa antimicrobial peptides.

Brevinin-1BYa is a 24-amino acid residue host-defense peptide, first isolated from skin secretions of the foothill yellow-legged frog Rana boylii. The peptide is of interest, as it shows broad-spectrum antimicrobial activity, and is particularly effective against opportunistic yeast pathogens. Its potential for clinical use, however, is hindered by its latent haemolytic activity.

NMR model structure of the antimicrobial peptide maximin 3.

Maximin 3 is a 27-residue-long cationic antimicrobial peptide found in the skin secretion and brain of the Chinese red-belly toad Bombina maxima. The peptide is of biological interest as it possesses anti-HIV activity, not found in the other maximin peptides, in addition to antimicrobial, antitumor and spermicidal activities. The three-dimensional structure of maximin 3 was obtained in a 50/50% water/2,2,2-trifluoroethanol-d mixture using two-dimensional NMR spectroscopy.