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Test R \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^2$$\end{document} 2 -scores in the prediction of Smina docking scores for MAO-A and MAO-B inhibitors.

Journal: Scientific Reports

Article Title: Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

doi: 10.1038/s41598-024-58122-7

Figure Lengend Snippet: Test R \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^2$$\end{document} 2 -scores in the prediction of Smina docking scores for MAO-A and MAO-B inhibitors.

Article Snippet: The Smina docking software version 2020.12.10 ( https://sourceforge.net/projects/smina/ ) was used to perform molecular docking.

Techniques:

Enrichment curves calculated for Smina docking results and three best ML models on the testing set.

Journal: Scientific Reports

Article Title: Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

doi: 10.1038/s41598-024-58122-7

Figure Lengend Snippet: Enrichment curves calculated for Smina docking results and three best ML models on the testing set.

Article Snippet: The Smina docking software version 2020.12.10 ( https://sourceforge.net/projects/smina/ ) was used to perform molecular docking.

Techniques:

Comparison of the VS time using different methods.

Journal: Scientific Reports

Article Title: Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

doi: 10.1038/s41598-024-58122-7

Figure Lengend Snippet: Comparison of the VS time using different methods.

Article Snippet: The Smina docking software version 2020.12.10 ( https://sourceforge.net/projects/smina/ ) was used to perform molecular docking.

Techniques: Comparison