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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Format:	Online
Idioma:	anglès
Publicat:	MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:	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
Accés en línia:	ONIX_20230714_9783036579610_74
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Computational Approaches in Discovery & Design of Antimicrobial Peptides

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