Q2720998 (Q2720998): Difference between revisions
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(Created claim: summary (P836): The aim of the program is to use advanced computational techniques to identify new active compounds to treat Alzheimer’s disease (da). Da is a neurological disorder for which there is no cure and affects millions of people, with devastating consequences for the quality of life of patients. In particular, through the program, you aim to identify new strong beta-secretase/T-aggregation inhibitors, a class of compounds that modify the disease and c...) |
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The aim of the program is to use advanced computational techniques to identify new active compounds to treat Alzheimer’s disease (da). Da is a neurological disorder for which there is no cure and affects millions of people, with devastating consequences for the quality of life of patients. In particular, through the program, you aim to identify new strong beta-secretase/T-aggregation inhibitors, a class of compounds that modify the disease and could therefore have a significant interest in treating it. In addition, double inhibitors fall within the multi target drug ligands which are considered to be more appropriate than the simple medications of a target for the treatment of complex diseases such as da. To achieve this goal, the necessary experimental and computational methods and tools will be developed to identify and optimise potential beta-secretisation/T-accumulation inhibitors between compounds that have already been synthesised and registered in large databases. (English) | |||||||||||||||
| Property / summary: The aim of the program is to use advanced computational techniques to identify new active compounds to treat Alzheimer’s disease (da). Da is a neurological disorder for which there is no cure and affects millions of people, with devastating consequences for the quality of life of patients. In particular, through the program, you aim to identify new strong beta-secretase/T-aggregation inhibitors, a class of compounds that modify the disease and could therefore have a significant interest in treating it. In addition, double inhibitors fall within the multi target drug ligands which are considered to be more appropriate than the simple medications of a target for the treatment of complex diseases such as da. To achieve this goal, the necessary experimental and computational methods and tools will be developed to identify and optimise potential beta-secretisation/T-accumulation inhibitors between compounds that have already been synthesised and registered in large databases. (English) / rank | |||||||||||||||
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| Property / summary: The aim of the program is to use advanced computational techniques to identify new active compounds to treat Alzheimer’s disease (da). Da is a neurological disorder for which there is no cure and affects millions of people, with devastating consequences for the quality of life of patients. In particular, through the program, you aim to identify new strong beta-secretase/T-aggregation inhibitors, a class of compounds that modify the disease and could therefore have a significant interest in treating it. In addition, double inhibitors fall within the multi target drug ligands which are considered to be more appropriate than the simple medications of a target for the treatment of complex diseases such as da. To achieve this goal, the necessary experimental and computational methods and tools will be developed to identify and optimise potential beta-secretisation/T-accumulation inhibitors between compounds that have already been synthesised and registered in large databases. (English) / qualifier | |||||||||||||||
point in time: 31 May 2021
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Revision as of 19:34, 31 May 2021
Project Q2720998 in Cyprus
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q2720998 in Cyprus |
Statements
169,990.14 Euro
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199,988.4 Euro
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85.0 percent
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21 September 2018
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15 July 2021
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NovaMechanics Ltd
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Στόχος του προγράμματος είναι η χρήση προηγμένων υπολογιστικών τεχνικών ώστε να εντοπιστούν νέες δραστικές ενώσεις για τη θεραπεία της νόσου του Αλτσχάιμερ (ΝτΑ). Η ΝτΑ είναι μια νευρολογική διαταραχή, για την οποία δεν υπάρχει θεραπεία και επηρεάζει εκατομμύρια ανθρώπους, με καταστροφικές συνέπειες για την ποιότητα ζωής των ασθενών. Ειδικότερα μέσω του προγράμματος στοχεύετε η ταυτοποίηση νέων ισχυρών διπλών αναστολέων β-σεκρετάσης/Τ-συσσωμάτωσης, μιας κατηγορίας ενώσεων που τροποποιούν την ασθένεια και συνεπώς θα μπορούσαν να έχουν σημαντικό ενδιαφέρον για τη θεραπεία της. Επιπλέον οι διπλοί αναστολείς εμπίπτουν στους αναστολείς πολλαπλών στόχων (multi target drug ligands) οι οποίοι θεωρούνται ότι είναι καταλληλότεροί από τα απλά φάρμακα ενός στόχου για τη θεραπεία σύνθετων ασθενειών όπως η ΝτΑ. Για την επίτευξη του στόχου αυτού, θα αναπτυχθούν οι απαραίτητες πειραματικές και υπολογιστικές μέθοδοι και εργαλεία ώστε να εντοπιστούν και να βελτιστοποιηθούν οι πιθανοί διπλοί αναστολείς β-σεκρετάσης/Τ-συσσωμάτωσης μεταξύ των ενώσεων που έχουν ήδη συντεθεί και έχουν καταχωρηθεί σε μεγάλες βάσεις δεδομένων. (Greek)
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The aim of the program is to use advanced computational techniques to identify new active compounds to treat Alzheimer’s disease (da). Da is a neurological disorder for which there is no cure and affects millions of people, with devastating consequences for the quality of life of patients. In particular, through the program, you aim to identify new strong beta-secretase/T-aggregation inhibitors, a class of compounds that modify the disease and could therefore have a significant interest in treating it. In addition, double inhibitors fall within the multi target drug ligands which are considered to be more appropriate than the simple medications of a target for the treatment of complex diseases such as da. To achieve this goal, the necessary experimental and computational methods and tools will be developed to identify and optimise potential beta-secretisation/T-accumulation inhibitors between compounds that have already been synthesised and registered in large databases. (English)
31 May 2021
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*Δεν έχει γεωγραφική διάσταση*
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Identifiers
34643
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