Detalle de: QSAR modelling for drug discovery: Predicting the activity of LRRK2 inhibitors for Parkinson’s disease using cheminformatics approaches
| Title | QSAR modelling for drug discovery: Predicting the activity of LRRK2 inhibitors for Parkinson’s disease using cheminformatics approaches |
| Abstract | |
| Apa Reference | Sebastián-Pérez, V., Martínez, M. J., Gil, C., Campillo, N. E., Martínez, A., & Ponzoni, I. (2018). QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson’s Disease Using Cheminformatics Approaches. Practical Applications of Computational Biology and Bioinformatics, 12th International Conference, 63–70. 10.1007/978-3-319-98702-6_8 |
| Doi | 10.1007/978-3-319-98702-6_8 |
| Publication Date | 17 Aug 2018 |
| Publication Type | Book / chapter |
| Researcher | Ana Martínez |
| Ontology | Drug Discovery and design |
| Research Groups | Translational Medicinal and Biological Chemistry |
| Tools |