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Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes

Detalles Bibliográficos
Autores principales: Zilian, D, Sotriffer, CA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3606197/
http://dx.doi.org/10.1186/1758-2946-5-S1-P27
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author Zilian, D
Sotriffer, CA
author_facet Zilian, D
Sotriffer, CA
author_sort Zilian, D
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spelling pubmed-36061972013-03-27 Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes Zilian, D Sotriffer, CA J Cheminform Poster Presentation BioMed Central 2013-03-22 /pmc/articles/PMC3606197/ http://dx.doi.org/10.1186/1758-2946-5-S1-P27 Text en Copyright ©2013 Zilian and Sotriffer; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Presentation
Zilian, D
Sotriffer, CA
Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title_full Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title_fullStr Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title_full_unstemmed Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title_short Combining SFCscore with Random Forests leads to improved affinity prediction for protein-ligand complexes
title_sort combining sfcscore with random forests leads to improved affinity prediction for protein-ligand complexes
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3606197/
http://dx.doi.org/10.1186/1758-2946-5-S1-P27
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