MHMagdalena Hawrylak

Magdalena Hawrylak

*This is an algorithmically generated author record based on publicly available information.

Magdalena Hawrylak has a total of 3 co-authors. Here are the top co-authors by number of shared publications:

  • Jadwiga Handzlik

    Jagiellonian University Medical College, Department of Technology and Biotechnology of Drugs, Medyczna 9, 30-688 Kraków, Poland

    1 shared publication
  • Kamil J. Kuder

    Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College in Kraków, Medyczna 9, 30-688 Kraków, Poland

    1 shared publication
  • Zbigniew Gajda

    Department of Technology and Biotechnology of Drugs, Faculty of Pharmacy, Jagiellonian University Medical College in Kraków, Medyczna 9, 30-688 Kraków, Poland

    1 shared publication

Latest Publications

  • Open Access

    Perry Disease: Current Outlook and Advances in Drug Discovery Approach to Symptomatic Treatment

    by Zbigniew Gajda, Magdalena Hawrylak, Jadwiga Handzlik, Kamil J. Kuder

    Perry disease (PeD) is a rare, neurodegenerative, genetic disorder inherited in an autosomal dominant manner. The disease manifests as parkinsonism, with psychiatric symptoms on top, such as depression or sleep disorders, accompanied by unexpected weight loss, central hypoventilation, and aggregation of DNA-binding protein (TDP-43) in the brain. Due to the genetic cause, no causal treatment for PeD is currently available. The only way to improve the quality of life of patients is through symptomatic therapy. This work aims to review the latest data on potential PeD treatment, specifically from the medicinal chemistry and computer-aided drug design (CADD) points of view. We select proteins that might represent therapeutic targets for symptomatic treatment of the disease: monoamine oxidase B (MAO-B), serotonin transporter (SERT), dopamine D2 (D2R), and serotonin 5-HT1A (5-HT1AR) receptors. We report on compounds that may be potential hits to develop symptomatic therapies for PeD and related neurodegenerative diseases and relieve its symptoms. We use Phase pharmacophore modeling software (version 2023.08) implemented in Schrödinger Maestro as a ligand selection tool. For each of the chosen targets, based on the resolved protein–ligand structures deposited in the Protein Data Bank (PDB) database, pharmacophore models are proposed. We review novel, active compounds that might serve as either hits for further optimization or candidates for further phases of studies, leading to potential use in the treatment of PeD.