Exhaustive prediction of physicochemical properties of peptide sequences is used in
different areas of biological research. One example is the identification of selective cationic …

Exhaustive prediction of physicochemical properties of peptide sequences is used in
different areas of biological research. One example is the identification of selective cationic …

Prediction of physicochemical properties of peptide sequences can be used for the
identification of “Selective Cationic Amphipatic Antibacterial Peptides”(SCAAP), with …

The problem of pathogenic antibiotic-resistant bacteria such as Staphylococcus aureus and
Pseudomonas aeruginosa is worsening, demonstrating the urgent need for new …

The increasing rate in antibiotic-resistant bacterial strains has become an imperative health
issue. Thus, pharmaceutical industries have focussed their efforts to find new potent, non …

Host defence antimicrobial proteins and peptides (AMPs) are effectors of the innate immune
system and play a vital role in the prevention of bacterial infections. Some computational …

Antimicrobial peptides (AMP) are a promising source of antibiotics with a broad spectrum
activity against bacteria and low incidence of developing resistance. The mechanism by …

Antimicrobial peptides (AMPs) have been identified as a potentially new class of antibiotics.
There are a lot of computational methods of AMP prediction. Although most of them can …

Antimicrobial peptides (AMPs) are important effectors of the innate immune system and play
a vital role in the prevention of infections. Due to the increased emergence of new antibiotic …

We describe computational approaches for identifying promising lead candidates for the
development of peptide antibiotics, in the context of quantitative structure–activity …