eMIND: Enabling automatic collection of protein variation impacts in Alzheimer's disease from the literature
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AK7IIHWHZ" target="_blank" >RIV/00216208:11320/23:K7IIHWHZ - isvavai.cz</a>
Result on the web
<a href="https://www.biorxiv.org/content/10.1101/2023.09.07.556602.abstract" target="_blank" >https://www.biorxiv.org/content/10.1101/2023.09.07.556602.abstract</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1101/2023.09.07.556602" target="_blank" >10.1101/2023.09.07.556602</a>
Alternative languages
Result language
angličtina
Original language name
eMIND: Enabling automatic collection of protein variation impacts in Alzheimer's disease from the literature
Original language description
"Alzheimer’s disease and related dementias (AD/ADRDs) are among the most common forms of dementia, and yet no effective treatments have been developed. To gain insight into the disease mechanism, capturing the connection of genetic variations to their impacts, at the disease and molecular levels, is essential."
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů