Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Macromolecular Rapid Communications, EarlyView.Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
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Epidemiology and clinical spectrum of leishmaniasis due to Leishmania infantum in Tunisia: Current status, challenges, and perspectives. [PDF]
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Molecular evidence of haemosporidian infections in tawny owls (<i>Strix aluco)</i> from central Norway. [PDF]
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Mysterious Leishmania martiniquensis parasites and their relatives of the subgenus Mundinia: Emerging pathogens reshaping our understanding of leishmaniases. [PDF]
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Vector-borne Infections: risk based and Cost Effective surveillance systems
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