QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson’s Disease

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson’s Disease

Parkinson’s disease is one of the most common neurodegenerative illnesses in older persons and the leucine-rich repeat kinase 2 (LRRK2) is an auspicious target for its pharmacological treatment. In this work, quantitative structure–activity relationship (QSAR) models for identification of putative i...

Full description

Bibliographic Details
Main Authors: Sebastián-Pérez Víctor, Martínez María Jimena, Gil Carmen, Campillo Nuria Eugenia, Martínez Ana, Ponzoni Ignacio
Format: Article
Language:English
Published: De Gruyter 2019-02-01
Series:Journal of Integrative Bioinformatics
Subjects:
cheminformatics
qsar
machine learning
parkinson’s disease
lrrk2
Online Access:https://doi.org/10.1515/jib-2018-0063

Internet

https://doi.org/10.1515/jib-2018-0063

Similar Items