In Silico Design and Synthesis of Antifungal Peptides Guided by Quantitative Antifungal Activity
Jin Zhang,
Xinhao Sun,
Hongwei Zhao
et al.
Abstract:Antifungal peptides (AFPs) are emerging as promising
candidates
for advanced antifungal therapies because of their broad-spectrum
efficacy and reduced resistance development. In silico design of AFPs, however, remains challenging, due to the lack of
an efficient and well-validated quantitative assessment of antifungal
activity. This study introduced an AFP design approach that leverages
an innovative quantitative metric, named the antifungal index (AFI),
through a three-step process, i.e., segmentation,
single… Show more
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