Publications by authors named "Uxia Veleiro"

Article Synopsis
  • Drug-target interaction (DTI) prediction is crucial for drug repurposing but is currently hindered by expensive computational methods and poor generalization to new datasets.
  • The paper introduces GeNNius, a Graph Neural Network-based method that not only enhances accuracy and efficiency in DTI prediction but also uncovers new drug-target interactions.
  • GeNNius maintains biological relevance in its data representation and is available for public use on GitHub, promising improvements in DTI prediction capabilities.
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Host defense peptides (HDPs) are short cationic peptides that play a key role in the innate immune response of all living organisms. Their action mechanism does not depend on the presence of protein receptors, but on their ability to target and disrupt the membranes of a wide range of pathogenic and pathologic cells which are recognized by their specific compositions, typically with a relatively high concentration of anionic lipids. Lipid profile singularities have been found in cancer, inflammation, bacteria, viral infections, and even in senescent cells, enabling the possibility to use them as therapeutic targets and/or diagnostic biomarkers.

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A handful of singular structures and laws can be observed in nature. They are not always evident but, once discovered, it seems obvious how to take advantage of them. In chemistry, the discovery of reproducible patterns stimulates the imagination to develop new functional materials and technological or medical applications.

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