Cargando…
Rationalizing general limitations in assessing and comparing methods for compound potency prediction
Compound potency predictions play a major role in computational drug discovery. Predictive methods are typically evaluated and compared in benchmark calculations that are widely applied. Previous studies have revealed intrinsic limitations of potency prediction benchmarks including very similar perf...
Autores principales: | Janela, Tiago, Bajorath, Jürgen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587074/ https://www.ncbi.nlm.nih.gov/pubmed/37857835 http://dx.doi.org/10.1038/s41598-023-45086-3 |
Ejemplares similares
-
Large-Scale Predictions of Compound Potency with Original and Modified Activity Classes Reveal General Prediction Characteristics and Intrinsic Limitations of Conventional Benchmarking Calculations
por: Janela, Tiago, et al.
Publicado: (2023) -
Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure–Potency Fingerprint
por: Janela, Tiago, et al.
Publicado: (2023) -
Systematic Artifacts in Support Vector Regression-Based Compound Potency Prediction Revealed by Statistical and Activity Landscape Analysis
por: Balfer, Jenny, et al.
Publicado: (2015) -
Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions
por: Rodríguez-Pérez, Raquel, et al.
Publicado: (2020) -
Introducing a Chemically Intuitive Core-Substituent Fingerprint Designed to Explore Structural Requirements for Effective Similarity Searching and Machine Learning
por: Janela, Tiago, et al.
Publicado: (2022)