Learning from the ligand: using ligand-based features to improve binding affinity prediction
Motivation Machine learning scoring functions for protein–ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
Learning from the ligand: using ligand-based features to improve binding affinity prediction.
F Boyles, CM Deane, GM Morris - Bioinformatics, 2020 - search.ebscohost.com
Motivation Machine learning scoring functions for protein–ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
[PDF][PDF] Learning From The Ligand: Using Ligand-Based Features To Improve Binding Affinity Prediction
F Boyles, CM Deane, GM Morris - 2015 - scholar.archive.org
Motivation: Machine learning scoring functions for protein-ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
Learning from the ligand: using ligand-based features to improve binding affinity prediction
F Boyles, CM Deane, GM Morris - Bioinformatics, 2019 - cir.nii.ac.jp
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Machine learning scoring functions for protein–ligand binding affinity prediction have been …
Machine learning scoring functions for protein–ligand binding affinity prediction have been …
Learning from the ligand: using ligand-based features to improve binding affinity prediction
F Boyles, CM Deane, GM Morris - Bioinformatics, 2020 - academic.oup.com
Motivation Machine learning scoring functions for protein–ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
Learning from the Ligand: Using Ligand-Based Features to Improve Binding Affinity Prediction
F Boyles, CM Deane, G Morris - 2019 - chemrxiv.org
Machine learning scoring functions for protein-ligand binding affinity prediction have been
found to consistently outperform classical scoring functions. Structure-based scoring …
found to consistently outperform classical scoring functions. Structure-based scoring …
Learning from the ligand: using ligand-based features to improve binding affinity prediction
F Boyles, CM Deane, GM Morris - Bioinformatics (Oxford …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Machine learning scoring functions for protein-ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
[PDF][PDF] Learning from the ligand: using ligand-based features to improve binding affinity prediction
F Boyles, CM Deane, GM Morris - Bioinformatics, 2019 - ora.ox.ac.uk
Motivation Machine learning scoring functions for protein–ligand binding affinity prediction
have been found to consistently outperform classical scoring functions. Structure-based …
have been found to consistently outperform classical scoring functions. Structure-based …
Learning from the ligand: using ligand-based features to improve binding affinity prediction.
F Boyles, CM Deane, GM Morris - Bioinformatics (Oxford, England), 2020 - europepmc.org
Results We demonstrate that the performance of machine learning scoring functions are
consistently improved by the inclusion of diverse ligand-based features. For example, a …
consistently improved by the inclusion of diverse ligand-based features. For example, a …
Learning from the Ligand: Using Ligand-Based Features to Improve Binding Affinity Prediction
F Boyles, CM Deane, G Morris - 2019 - europepmc.org
Machine learning scoring functions for protein-ligand binding affinity prediction have been
found to consistently outperform classical scoring functions. Structure-based scoring …
found to consistently outperform classical scoring functions. Structure-based scoring …