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Pelayo A. Penanes

As seen in: Nature
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Articles

Transfer learning in DeepLC improves LC retention time prediction across substantially different modifications and setups - Nature Communications

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By Robbin Bouwmeester, Alireza Nameni, Arthur Declercq, Robbe Devreese, Kevin Velghe, Vladimir Gorshkov, Pelayo A. Penanes, Frank S Kjeldsen, Christine Carapito, Ralf Gabriels, Lennart Martens, Magali Rompais
| Nature Verified
Abstract While LC retention time prediction of peptides and their modifications has proven useful, widespread adoption and optimal performance are hindered by variations in experimental parameters. These variations can render retention time prediction models inaccurate and dramatically reduce the value of predictions for identification, validation, and DIA spectral library generation.
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Potential of Negative-Ion-Mode Proteomics: An MS1-Only Approach

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By Vladimir Gorshkov, Mark V. Ivanov, Mikhail V Gorshkov, Pelayo A. Penanes
| dx.doi.org
When using negative-mode polarity in ESI, both rapid needle deterioration and reduced efficiency of ionization can be caused by the phenomenon of corona discharge. This occurs at the tip of the ESI emitters, where free electrons are accelerated in the high-field region produced during ESI. This can lead to a decrease in spray stability and a loss of ion signal. To improve the ESI stability, we adjusted first the quantity of isopropanol (IPA) added to the mobile phase.
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