Predicting the affinity of A2A adenosine receptor antagonists using decision trees

Predicting the affinity of A2A adenosine receptor antagonists using decision trees

Neurodegenerative diseases are being treated by modulating adenosine receptors with more effective, safe and selective antagonists. The objective of the study was to develop a methodology to obtain classification models based on decision tree algorithms and descriptors from 0D to 2D of non-congenita...

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Bibliographic Details
Main Authors: Adonis Huici Corrales, Aliuska Morales Helguera, Evys Ancede Gallardo Ancede Gallardo, Reinaldo Molina Ruiz, Marta Teijeira Bautista, Guillermo Abreu Stincer, Eugenio Martínez Albelo
Format: Article
Language:English
Published: Universidad Central Marta Abreu de Las Villas 2019-06-01
Series:Biotecnología Vegetal
Subjects:
classification
machine learning
modeling
qsar
Online Access:https://revista.ibp.co.cu/index.php/BV/article/view/623

Internet

https://revista.ibp.co.cu/index.php/BV/article/view/623

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