Malgorzata Kotulska

TL;DR: An original machine learning method for classification of aminoacid sequences, based on discovering a segment with a discriminative pattern of site-specific co-occurrences between sequence elements, which reveals characteristic classification pattern of the data and finds the segments where its scoring is the strongest, also in long training sequences.

TL;DR: The efficacy of nanoparticles with mixed cargo, additionally enhanced by electroporation, is demonstrated to act as an anticancer modality to eliminate cancer cells.

TL;DR: Experimental data on effects of electroporation in culture of cardiac cells (H9C2) is presented and MTT viability test showed that pulse intensities above 375 V/cm are destructive for myocytes viability.

TL;DR: The AmyLoad website, which collects the amyloidogenic sequences from all major sources, allows for filtration of the fragments and provides detailed information about each of them, and can be used as a sequence analysis tool.

TL;DR: The results showed sequential patterns in the amyloids which are strongly correlated with hydrophobicity, a tendency to form β-sheets, and lower flexibility of amino acid residues.