Benchmarking Small-Dataset Structure-Activity-Relationship Models for Prediction of Wnt Signaling Inhibition

Benchmarking Small-Dataset Structure-Activity-Relationship Models for Prediction of Wnt Signaling Inhibition

Quantitative structure-activity relationship (QSAR) models based on machine learning algorithms are powerful tools to expedite drug discovery processes and therapeutics development. Given the cost in acquiring large-sized training datasets, it is useful to examine if QSAR analysis can reasonably pre...

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Bibliographic Details
Main Authors: Mahtab Kokabi, Matthew Donnelly, Guangyu Xu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bioactivity prediction
drug discovery
machine learning
molecular fingerprint
quantitative structure-activity relationship
Wnt signaling
Online Access:https://ieeexplore.ieee.org/document/9301286/

Internet

https://ieeexplore.ieee.org/document/9301286/

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