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Using RosettaLigand for Small Molecule Docking into Comparative Models
Computational small molecule docking into comparative models of proteins is widely used to query protein function and in the development of small molecule therapeutics. We benchmark RosettaLigand docking into comparative models for nine proteins built during CASP8 that contain ligands. We supplement...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519832/ https://www.ncbi.nlm.nih.gov/pubmed/23239984 http://dx.doi.org/10.1371/journal.pone.0050769 |
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author | Kaufmann, Kristian W. Meiler, Jens |
author_facet | Kaufmann, Kristian W. Meiler, Jens |
author_sort | Kaufmann, Kristian W. |
collection | PubMed |
description | Computational small molecule docking into comparative models of proteins is widely used to query protein function and in the development of small molecule therapeutics. We benchmark RosettaLigand docking into comparative models for nine proteins built during CASP8 that contain ligands. We supplement the study with 21 additional protein/ligand complexes to cover a wider space of chemotypes. During a full docking run in 21 of the 30 cases, RosettaLigand successfully found a native-like binding mode among the top ten scoring binding modes. From the benchmark cases we find that careful template selection based on ligand occupancy provides the best chance of success while overall sequence identity between template and target do not appear to improve results. We also find that binding energy normalized by atom number is often less than −0.4 in native-like binding modes. |
format | Online Article Text |
id | pubmed-3519832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35198322012-12-13 Using RosettaLigand for Small Molecule Docking into Comparative Models Kaufmann, Kristian W. Meiler, Jens PLoS One Research Article Computational small molecule docking into comparative models of proteins is widely used to query protein function and in the development of small molecule therapeutics. We benchmark RosettaLigand docking into comparative models for nine proteins built during CASP8 that contain ligands. We supplement the study with 21 additional protein/ligand complexes to cover a wider space of chemotypes. During a full docking run in 21 of the 30 cases, RosettaLigand successfully found a native-like binding mode among the top ten scoring binding modes. From the benchmark cases we find that careful template selection based on ligand occupancy provides the best chance of success while overall sequence identity between template and target do not appear to improve results. We also find that binding energy normalized by atom number is often less than −0.4 in native-like binding modes. Public Library of Science 2012-12-11 /pmc/articles/PMC3519832/ /pubmed/23239984 http://dx.doi.org/10.1371/journal.pone.0050769 Text en © 2012 Kaufmann, Meiler http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kaufmann, Kristian W. Meiler, Jens Using RosettaLigand for Small Molecule Docking into Comparative Models |
title | Using RosettaLigand for Small Molecule Docking into Comparative Models |
title_full | Using RosettaLigand for Small Molecule Docking into Comparative Models |
title_fullStr | Using RosettaLigand for Small Molecule Docking into Comparative Models |
title_full_unstemmed | Using RosettaLigand for Small Molecule Docking into Comparative Models |
title_short | Using RosettaLigand for Small Molecule Docking into Comparative Models |
title_sort | using rosettaligand for small molecule docking into comparative models |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519832/ https://www.ncbi.nlm.nih.gov/pubmed/23239984 http://dx.doi.org/10.1371/journal.pone.0050769 |
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