Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
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 ...
Jooyoung Roh +2 more
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Insights on pathoadaptation of sequential <i>Pseudomonas aeruginosa</i> isolates to the urinary tract. [PDF]
Martin-Duval C +5 more
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ABSTRACT In the 1980s, researchers discovered the remarkable ability of electrospray plumes to effectively ionize gas‐phase molecules via secondary ionization. Around 20 years later—coinciding with the ambient mass spectrometry revolution—secondary electrospray ionization (SESI) and extractive electrospray ionization (EESI) coupled to mass spectrometry
Xin Luo +5 more
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Impact of material properties for improved Pseudomonas aeruginosa biofilm inactivation with 280 nm UV LEDs. [PDF]
Mullin TJ +3 more
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α-Amylase-Mediated Antibiotic Degradation and Sequestration in <i>Pseudomonas aeruginosa</i> Biofilm Therapy. [PDF]
Murray RK +5 more
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Plantar Nodular Lesion in A 22‐Year‐Old Immunocompetent Female Patient
JEADV Clinical Practice, EarlyView.
Ariana Ramírez‐Zumbado +3 more
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Hematogenous pulmonary abscess and septicemia due to infection with hypervirulent Pseudomonas aeruginosa in a nonimmunodeficient adolescent: a case report. [PDF]
Zhu X, Yan J, Lai X, Chen M, Wang Q.
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Personalised bactericidal combination regimens against carbapenem-resistant Pseudomonas aeruginosa. [PDF]
Teo JQ +12 more
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The in vitro evaluation of synergistic effects of ciprofloxacin and berberine hydrochloride against Pseudomonas aeruginosa. [PDF]
Zeraatpisheh A +8 more
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The iron metalloproteome of Pseudomonas aeruginosa under oxic and anoxic conditions. [PDF]
Saito MA, McIlvin MR.
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