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Computational Approaches in Discovery & Design of Antimicrobial Peptides

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cancer; tumor-homing peptide; in silico drug discovery; complex network; chemical space network; centrality measure; similarity searching; group fusion; motif discovery; starPep toolbox software; FOF1-ATP synthase; allosteric inhibition; structure-based drug design; evolutionary and PPI algorithms; peptide design; artificial intelligence; machine learning; AMPs; evolutionary algorithms; molecular descriptors; complex networks; proteogenomics; antimicrobial peptide; AMP discovery; genome mining; antimicrobial resistance; Streptomyces; secondary metabolites; genome; biosynthetic gene clusters; high-performance liquid chromatography (HPLC); mass spectrometry; amphipathic peptides; multifunctional; design; penetratins; antimicrobial; antiviral; anticancer; anti-inflammatory; cell-penetrating; non-toxic; cathelicidins; antimicrobial peptides; LL-37; biofilms; abscess model; skin model; reptiles; Apicomplexan; bioactive peptides; toxoplasmosis; cryptosporidiosis; malaria; antibacterial peptide; AMPs database; StarPep; Gram staining-based target; peptide library screening; human peptidome; redox system; Cryptococcus neoformans; ROS metabolism; ergosterol; synthetic antimicrobial peptides; n/a

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