J Prev Alzheimers Dis
February 2024
Lithium has been approved and used for several decades in the treatment of psychiatric disorders, and its potential effect in neurodegenerative diseases has been subject to increasing research interest in recent years. Nanolithium is a new experimental product using a novel drug-delivery technology (Aonys®), which optimizes its bioavailability while reducing its toxicity profile. Therapeutic doses of lithium used in Nanolithium are more than 50 times lower than the minimal dose of classical lithium salts.
View Article and Find Full Text PDFAfter over 50 years of use, lithium-salts remain the first-line therapy for the management of bipolar disorder. Throughout this period, the potential for lithium salts has been extensively studied and numerous data favor its use in the treatment of neurodegenerative disorders such as Alzheimer's disease (AD). We reviewed existing evidence gathered from clinical case reports and studies on the effect of lithium on neuropsychological symptoms of AD and as a disease-modifying treatment acting on cognitive symptoms.
View Article and Find Full Text PDFThe SH3 domain of Eps8 was previously found to form an intertwined, domain-swapped dimer. We report here a monomeric structure of the EPS8 SH3 domain obtained from crystals grown at low pH, as well as an improved domain-swapped dimer structure at 1.8 A resolution.
View Article and Find Full Text PDFPac Symp Biocomput
October 1998
Observations going back more than 20 years show that regions in proteins with disordered backbones can play roles in their binding to other molecules; typically, the disordered regions become ordered upon complex formation. Thought-experiments with Schulz Diagrams, which are defined herein, suggest that disorder-to-order transitions are required for natural selection to operate separately on affinity and specificity. Separation of affinity and specificity may be essential for fine-tuning the molecular interaction networks that comprise the living state.
View Article and Find Full Text PDFNeural network predictors of protein disorder using primary sequence information were developed and applied to the Swiss Protein Database. More than 15,000 proteins were predicted to contain disordered regions of at least 40 consecutive amino acids, with more than 1,000 having especially high scores indicating disorder. These results support proposals that consideration of structure-activity relationships in proteins need to be broadened to include unfolded or disordered protein.
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