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EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities
We present the relational database EDULISS (EDinburgh University Ligand Selection System), which stores structural, physicochemical and pharmacophoric properties of small molecules. The database comprises a collection of over 4 million commercially available compounds from 28 different suppliers. A...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013767/ https://www.ncbi.nlm.nih.gov/pubmed/21051336 http://dx.doi.org/10.1093/nar/gkq878 |
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author | Hsin, Kun-Yi Morgan, Hugh P. Shave, Steven R. Hinton, Andrew C. Taylor, Paul Walkinshaw, Malcolm D. |
author_facet | Hsin, Kun-Yi Morgan, Hugh P. Shave, Steven R. Hinton, Andrew C. Taylor, Paul Walkinshaw, Malcolm D. |
author_sort | Hsin, Kun-Yi |
collection | PubMed |
description | We present the relational database EDULISS (EDinburgh University Ligand Selection System), which stores structural, physicochemical and pharmacophoric properties of small molecules. The database comprises a collection of over 4 million commercially available compounds from 28 different suppliers. A user-friendly web-based interface for EDULISS (available at http://eduliss.bch.ed.ac.uk/) has been established providing a number of data-mining possibilities. For each compound a single 3D conformer is stored along with over 1600 calculated descriptor values (molecular properties). A very efficient method for unique compound recognition, especially for a large scale database, is demonstrated by making use of small subgroups of the descriptors. Many of the shape and distance descriptors are held as pre-calculated bit strings permitting fast and efficient similarity and pharmacophore searches which can be used to identify families of related compounds for biological testing. Two ligand searching applications are given to demonstrate how EDULISS can be used to extract families of molecules with selected structural and biophysical features. |
format | Text |
id | pubmed-3013767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137672011-01-03 EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities Hsin, Kun-Yi Morgan, Hugh P. Shave, Steven R. Hinton, Andrew C. Taylor, Paul Walkinshaw, Malcolm D. Nucleic Acids Res Articles We present the relational database EDULISS (EDinburgh University Ligand Selection System), which stores structural, physicochemical and pharmacophoric properties of small molecules. The database comprises a collection of over 4 million commercially available compounds from 28 different suppliers. A user-friendly web-based interface for EDULISS (available at http://eduliss.bch.ed.ac.uk/) has been established providing a number of data-mining possibilities. For each compound a single 3D conformer is stored along with over 1600 calculated descriptor values (molecular properties). A very efficient method for unique compound recognition, especially for a large scale database, is demonstrated by making use of small subgroups of the descriptors. Many of the shape and distance descriptors are held as pre-calculated bit strings permitting fast and efficient similarity and pharmacophore searches which can be used to identify families of related compounds for biological testing. Two ligand searching applications are given to demonstrate how EDULISS can be used to extract families of molecules with selected structural and biophysical features. Oxford University Press 2011-01 2010-11-04 /pmc/articles/PMC3013767/ /pubmed/21051336 http://dx.doi.org/10.1093/nar/gkq878 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hsin, Kun-Yi Morgan, Hugh P. Shave, Steven R. Hinton, Andrew C. Taylor, Paul Walkinshaw, Malcolm D. EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title | EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title_full | EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title_fullStr | EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title_full_unstemmed | EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title_short | EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities |
title_sort | eduliss: a small-molecule database with data-mining and pharmacophore searching capabilities |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013767/ https://www.ncbi.nlm.nih.gov/pubmed/21051336 http://dx.doi.org/10.1093/nar/gkq878 |
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