Self-Assembled Molecules ¿ New Kind of Protein Ligands
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The subject of this book relates to protein ligands with particular structural and complexation properties. They are composed of self-assembled molecules, capable of penetrating as a unit into proteins outside the binding site. The ribbon-like supramolecular system only permits the penetration of self-assembled molecules into the protein-body and formation of stable complexes. Supramolecular Congo red and similar compounds fit these requirements. Destabilized protein fragments enable the penetration of such ligands, with susceptibility to supramolecular ligand binding often associated with…mehr

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Produktbeschreibung
The subject of this book relates to protein ligands with particular structural and complexation properties. They are composed of self-assembled molecules, capable of penetrating as a unit into proteins outside the binding site. The ribbon-like supramolecular system only permits the penetration of self-assembled molecules into the protein-body and formation of stable complexes. Supramolecular Congo red and similar compounds fit these requirements. Destabilized protein fragments enable the penetration of such ligands, with susceptibility to supramolecular ligand binding often associated with protein function. As a result, complexation modifies their functional effects. The activity of enzymes is inhibited by arresting them in the complexed state, but "naturally irreversible" complexation as in the case of immune complexation, is enhanced instead. This property offers many attractive possibilities of using supramolecular ligands as described in this book. This book is an open access under a CC BY license.
Autorenporträt
Dr Irena Roterman-Konieczna - professor of bioinformatics  heads the bioinformatics group at the Jagiellonian University - Medical College and the Faculty of Physics, Astronomy and Applied Computer Science, Poland. Her background is the theoretical chemistry and her research focuses on bioinformatics with a special focus on protein structure prediction. Involved also in education of medical students and students of computer science developing different forms of simulations in medicine.