Title |
Identification of Small Molecule Inhibitors of Tau Aggregation by Targeting Monomeric Tau As a Potential Therapeutic Approach for Tauopathies
|
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Published in |
Current Alzheimer Research, October 2015
|
DOI | 10.2174/156720501209151019104951 |
Pubmed ID | |
Authors |
Marcus Pickhardt, Thomas Neumann, Daniel Schwizer, Kari Callaway, Michele Vendruscolo, Dale Schenk, Peter George-Hyslop, Eva Mandelkow, Christopher Dobson, Lisa McConlogue, Eckhard Mandelkow, Gergely Toth |
Abstract |
A potential strategy to alleviate the aggregation of intrinsically disordered proteins (IDPs) is to maintain the native functional state of the protein by small molecule binding. However, the targeting of the native state of IDPs by small molecules has been challenging due to their heterogeneous conformational ensembles. To tackle this challenge, we applied a high-throughput chemical microarray surface plasmon resonance imaging screen to detect the binding between small molecules and monomeric full-length Tau, a protein linked with the onset of a range of Tauopathies. The screen identified a novel set of drug-like fragment and lead-like compounds that bound to Tau. We verified that the majority of these hit compounds reduced the aggregation of different Tau constructs in vitro and in N2a cells. These results demonstrate that Tau is a viable receptor of drug-like small molecules. The drug discovery approach that we present can be applied to other IDPs linked to other misfolding diseases such as Alzheimer's and Parkinson's diseases. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 67% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 104 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 22% |
Student > Ph. D. Student | 19 | 18% |
Other | 11 | 11% |
Student > Doctoral Student | 8 | 8% |
Student > Master | 8 | 8% |
Other | 17 | 16% |
Unknown | 18 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 24 | 23% |
Agricultural and Biological Sciences | 13 | 13% |
Neuroscience | 13 | 13% |
Chemistry | 13 | 13% |
Medicine and Dentistry | 7 | 7% |
Other | 10 | 10% |
Unknown | 24 | 23% |