Publications by authors named "A A Pilon"

Article Synopsis
  • - Untargeted metabolomics, often reliant on data-dependent acquisition (DDA), has limitations in fragmenting all detected ions and specificity, prompting the development of a dynamic procedure to enhance detection of biological signals.
  • - The study analyzed three species of actinomycetes using liquid chromatography and mass spectrometry, employing MZmine for preprocessing and a custom tool, RegFilter, for data processing.
  • - RegFilter improved ion detection by covering the whole chromatographic run and allowed for the annotation of biologically relevant candidates, thus serving as a valuable complement to DDA and enabling the creation of customized spectral libraries.
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Article Synopsis
  • The scientists studied new silver compounds that might help fight cancer, especially in cases where other drugs don’t work.
  • They used various techniques to analyze these compounds and understand how they work against different cancer cells.
  • The results showed that one type of silver compound was very effective against a certain cancer type and caused cells to die in a unique way, which could make it a good treatment option for difficult cancers.
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Bt soybean cultivation is increasing worldwide. The Cry1Ac protein expressed in Bt soybean efficiently controls several lepidopteran pests. The stink bug, Piezodorus guildinii (Westwood), a major pest for soybean in the Americas, is not controlled by Bt crops, although possible sub-lethal effects may occur.

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Structure-activity studies aiming to understand the role of each coligand in the formulation of new metallodrugs is an important subject. In that frame, six new compounds with general formula [Fe(η-CH)(dppe)(L)][CFSO] with L = benzonitriles (1-4) or carbon monoxide (5) and compound [Fe(η-CH)(CO)(PPh)][CFSO] (6) were synthesized and compared with three other previously reported compounds [Fe(η-CH)(CO)(L)(PPh)][CFSO]. We were particularly interested in assessing the effect of dppe vs.

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The Feature-based Molecular Networking (FBMN) is a well-known approach for mapping and identifying structures and analogues. However, in the absence of prior knowledge about the molecular class, assessing specific fragments and clusters requires time-consuming manual validation. This study demonstrates that combining FBMN and Mass Spec Query Language (MassQL) is an effective strategy for accelerating the decoding mass fragmentation pathways and identifying molecules with comparable fragmentation patterns, such as beauvericin and its analogues.

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