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Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery

Since its introduction in 2003, the Shape Signatures method has been successfully applied in a number of drug design projects. Because it uses a ray-tracing approach to directly measure molecular shape and properties (as opposed to relying on chemical structure), it excels at scaffold hopping, and i...

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Autores principales: Zauhar, Randy J., Gianti, Eleonora, Welsh, William J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880490/
https://www.ncbi.nlm.nih.gov/pubmed/24366428
http://dx.doi.org/10.1007/s10822-013-9698-7
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author Zauhar, Randy J.
Gianti, Eleonora
Welsh, William J.
author_facet Zauhar, Randy J.
Gianti, Eleonora
Welsh, William J.
author_sort Zauhar, Randy J.
collection PubMed
description Since its introduction in 2003, the Shape Signatures method has been successfully applied in a number of drug design projects. Because it uses a ray-tracing approach to directly measure molecular shape and properties (as opposed to relying on chemical structure), it excels at scaffold hopping, and is extraordinarily easy to use. Despite its advantages, a significant drawback of the method has hampered its application to certain classes of problems; namely, when the chemical structures considered are large and contain heterogeneous ring-systems, the method produces descriptors that tend to merely measure the overall size of the molecule, and begin to lose selective power. To remedy this, the approach has been reformulated to automatically decompose compounds into fragments using ring systems as anchors, and to likewise partition the ray-trace in accordance with the fragment assignments. Subsequently, descriptors are generated that are fragment-based, and query and target molecules are compared by mapping query fragments onto target fragments in all ways consistent with the underlying chemical connectivity. This has proven to greatly extend the selective power of the method, while maintaining the ease of use and scaffold-hopping capabilities that characterized the original implementation. In this work, we provide a full conceptual description of the next generation Shape Signatures, and we underline the advantages of the method by discussing its practical applications to ligand-based virtual screening. The new approach can also be applied in receptor-based mode, where protein-binding sites (partitioned into subsites) can be matched against the new fragment-based Shape Signatures descriptors of library compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-013-9698-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-38804902014-01-08 Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery Zauhar, Randy J. Gianti, Eleonora Welsh, William J. J Comput Aided Mol Des Article Since its introduction in 2003, the Shape Signatures method has been successfully applied in a number of drug design projects. Because it uses a ray-tracing approach to directly measure molecular shape and properties (as opposed to relying on chemical structure), it excels at scaffold hopping, and is extraordinarily easy to use. Despite its advantages, a significant drawback of the method has hampered its application to certain classes of problems; namely, when the chemical structures considered are large and contain heterogeneous ring-systems, the method produces descriptors that tend to merely measure the overall size of the molecule, and begin to lose selective power. To remedy this, the approach has been reformulated to automatically decompose compounds into fragments using ring systems as anchors, and to likewise partition the ray-trace in accordance with the fragment assignments. Subsequently, descriptors are generated that are fragment-based, and query and target molecules are compared by mapping query fragments onto target fragments in all ways consistent with the underlying chemical connectivity. This has proven to greatly extend the selective power of the method, while maintaining the ease of use and scaffold-hopping capabilities that characterized the original implementation. In this work, we provide a full conceptual description of the next generation Shape Signatures, and we underline the advantages of the method by discussing its practical applications to ligand-based virtual screening. The new approach can also be applied in receptor-based mode, where protein-binding sites (partitioned into subsites) can be matched against the new fragment-based Shape Signatures descriptors of library compounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-013-9698-7) contains supplementary material, which is available to authorized users. Springer Netherlands 2013-12-24 2013 /pmc/articles/PMC3880490/ /pubmed/24366428 http://dx.doi.org/10.1007/s10822-013-9698-7 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Zauhar, Randy J.
Gianti, Eleonora
Welsh, William J.
Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title_full Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title_fullStr Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title_full_unstemmed Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title_short Fragment-based Shape Signatures: a new tool for virtual screening and drug discovery
title_sort fragment-based shape signatures: a new tool for virtual screening and drug discovery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3880490/
https://www.ncbi.nlm.nih.gov/pubmed/24366428
http://dx.doi.org/10.1007/s10822-013-9698-7
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