Development of novel machine learning models for drug safety predictions  Page description

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Details of project

 
Identifier
134416
Type PD
Principal investigator Bajusz-Rácz, Anita
Title in Hungarian Gépi tanulási módszerek a gyógyszerbiztonság előrejelzésére
Title in English Development of novel machine learning models for drug safety predictions
Keywords in Hungarian keminformatika, QSAR, ADME-Tox, gyógyszertervezés
Keywords in English cheminformatics, QSAR, ADME-Tox, drugdesign
Discipline
Organic, Biomolecular, and Pharmaceutical Chemistry (Council of Physical Sciences)80 %
Ortelius classification: Molecular modelling
Computing Science (Council of Physical Sciences)20 %
Panel Natural Sciences Committee Chairs
Department or equivalent Institute of Materials and Environmental Chemistry (Research Center of Natural Sciences)
Starting date 2020-09-01
Closing date 2023-12-31
Funding (in million HUF) 25.316
FTE (full time equivalent) 3.20
state running project




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