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Computational Approaches in Discovery & Design of Antimicrobial Peptides

Antimicrobial resistance remains a major concern in medicine, especially during the COVID-19 pandemic, where microbial infections were frequent complications. To combat drug-resistant pathogens, there has been a renewed interest in the use of antimicrobial peptides (AMPs). This reprint focuses on th...

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Salvato in:
Natura: Online
Lingua:inglese
Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2023
Soggetti:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science::PN Chemistry
Accesso online:ONIX_20230714_9783036579610_74
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