Drug Target Identification with Machine Learning: How to Choose Negative Examples

Drug Target Identification with Machine Learning: How to Choose Negative Examples

Identification of the protein targets of hit molecules is essential in the drug discovery process. Target prediction with machine learning algorithms can help accelerate this search, limiting the number of required experiments. However, Drug-Target Interactions databases used for training present hi...

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Bibliographic Details
Main Authors: Matthieu Najm, Chloé-Agathe Azencott, Benoit Playe, Véronique Stoven
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:International Journal of Molecular Sciences
Subjects:
chemogenomic
drug discovery
target identification
false positive predictions
negative examples
machine learning
Online Access:https://www.mdpi.com/1422-0067/22/10/5118

Internet

https://www.mdpi.com/1422-0067/22/10/5118

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