Intrinsically Disordered Proteins (IDPs): From Physical Chemistry to Pathogenic Mechanisms
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Biophysics".
Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 61001
Special Issue Editors
Interests: intrinsically disordered proteins; phase separations; charge-induced conformational transitions; structural and functional properties of hydrolytic enzymes
Special Issues, Collections and Topics in MDPI journals
Interests: eyes by LC-MS for neurodegeneration
Interests: intrinsically disordered proteins; folding copuled to binding; protein-protein interactions; structural transitions; paramyxoviruses
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Intrinsically disordered proteins (IDPs) represent ~50% of the human proteome and are implicated in major human diseases, such as cancer, neurodegeneration, and viral infections, emerging as potential targets for therapeutic approaches. In spite of the increasing interest attracted by IDPs in the last decades, the mechanistic relationships between structural disorder and biological function remain a major challenge. Moreover, IDP structural characterization requires description of dynamic and heterogeneous molecular ensembles and their rearrangements in response to environmental conditions. This Special Issue will highlight the link between the peculiar physicochemical properties of these polymers, their interactions, and their role under physiological and pathological conditions. Advanced biophysical methods for IDP structural investigation will also be discussed. Most of the papers derive from contributions to the International Summer School on “Intrinsically disordered proteins (IDPs)—From Physical Chemistry to Pathogenic Mechanisms” held in Como, Italy, in September 2019.
Topics include, without being limited to:: IDP identification, classification and characterization, liquid–liquid phase transitions, membrane-less organelles, conformational ensembles, molecular recognition, fuzzy complexes, protein networks, cancer, neurodegeneration, virus regulation, enzymatic IDPs, biophysical and mass spectrometry techniques, -omics approaches, disorder and aggregation prediction, computational modeling.
Prof. Stefania Brocca
Dr. Rita Grandori
Prof. Dr. Sonia Longhi
Guest Editors
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