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Structured Review

SourceForge net smina docking software version 2020.12.10
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 <t> Smina </t> docking scores for MAO-A and MAO-B inhibitors.
Smina Docking Software Version 2020.12.10, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/smina+docking+software+version+2020%2E12%2E10/pmc11369158-136-1-7?v=SourceForge+net
Average 90 stars, based on 1 article reviews
smina docking software version 2020.12.10 - by Bioz Stars, 2026-08
90/100 stars

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1) Product Images from "Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors"

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

Journal: Scientific Reports

doi: 10.1038/s41598-024-58122-7

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.
Figure Legend 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.

Techniques Used:

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

Techniques Used:

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

Techniques Used: Comparison



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SourceForge net smina docking software version 2020.12.10
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 <t> Smina </t> docking scores for MAO-A and MAO-B inhibitors.
Smina Docking Software Version 2020.12.10, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/smina+docking+software+version+2020%2E12%2E10/pmc11369158-136-1-7?v=SourceForge+net
Average 90 stars, based on 1 article reviews
smina docking software version 2020.12.10 - by Bioz Stars, 2026-08
90/100 stars
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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