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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nucleic acids research 2011-01, Vol.39 (Database issue), p.D1042-D1048
Hauptverfasser: Hsin, Kun-Yi, Morgan, Hugh P, Shave, Steven R, Hinton, Andrew C, Taylor, Paul, Walkinshaw, Malcolm D
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page D1048
container_issue Database issue
container_start_page D1042
container_title Nucleic acids research
container_volume 39
creator Hsin, Kun-Yi
Morgan, Hugh P
Shave, Steven R
Hinton, Andrew C
Taylor, Paul
Walkinshaw, Malcolm D
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.
doi_str_mv 10.1093/nar/gkq878
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3013767</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>822360822</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-88f0ac6628ede910c47f2bb6376caed54421c28880a8f8edcdb64ab6adb7e8b13</originalsourceid><addsrcrecordid>eNqFkUFv1DAQhS0EosvChR8AuSEhhdoex3E4IKG2QKWVOCx7Q7LGjrMxOHFqZ6n492TZUsGJy4xG79ObGT1CnjP6htEGzkdM5_vvN6pWD8iKgeSlaCR_SFYUaFUyKtQZeZLzN0qZYJV4TM44oxUDkCvy9epyt7nebt8WWOQBQyiHGJw9BFe0OKPB7IpbP_e_p3Lwox_3BY5tMfWYBrRx6mNyRXaYbH_ULE5ofPCzd_kpedRhyO7ZXV-T3YerLxefys3nj9cX7zelFQBzqVRH0UrJlWtdw6gVdceNkVBLi66thODMcqUURdUtjG2NFGgktqZ2yjBYk3cn3-lghkV345ww6Cn5AdNPHdHrf5XR93off2igbFlSLwav7gxSvDm4POvBZ-tCwNHFQ9ZKUlDQcPg_yTlIeqxr8vpE2hRzTq67v4dRfcxNL7npU24L_OLvD-7RP0EtwMsT0GHUuE8-692WL-dT1gBUUsAv4-mfvA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>822360822</pqid></control><display><type>article</type><title>EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities</title><source>Oxford Journals Open Access Collection</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Hsin, Kun-Yi ; Morgan, Hugh P ; Shave, Steven R ; Hinton, Andrew C ; Taylor, Paul ; Walkinshaw, Malcolm D</creator><creatorcontrib>Hsin, Kun-Yi ; Morgan, Hugh P ; Shave, Steven R ; Hinton, Andrew C ; Taylor, Paul ; Walkinshaw, Malcolm D</creatorcontrib><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.</description><identifier>ISSN: 0305-1048</identifier><identifier>ISSN: 1362-4962</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkq878</identifier><identifier>PMID: 21051336</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Cyclin-Dependent Kinases - antagonists &amp; inhibitors ; Data Mining ; Databases, Factual ; Enzyme Inhibitors - chemistry ; Pharmaceutical Preparations - chemistry ; Protein Kinase Inhibitors - chemistry ; Pyruvate Kinase - antagonists &amp; inhibitors ; Small Molecule Libraries - chemistry</subject><ispartof>Nucleic acids research, 2011-01, Vol.39 (Database issue), p.D1042-D1048</ispartof><rights>The Author(s) 2010. Published by Oxford University Press. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-88f0ac6628ede910c47f2bb6376caed54421c28880a8f8edcdb64ab6adb7e8b13</citedby><cites>FETCH-LOGICAL-c433t-88f0ac6628ede910c47f2bb6376caed54421c28880a8f8edcdb64ab6adb7e8b13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013767/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013767/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21051336$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hsin, Kun-Yi</creatorcontrib><creatorcontrib>Morgan, Hugh P</creatorcontrib><creatorcontrib>Shave, Steven R</creatorcontrib><creatorcontrib>Hinton, Andrew C</creatorcontrib><creatorcontrib>Taylor, Paul</creatorcontrib><creatorcontrib>Walkinshaw, Malcolm D</creatorcontrib><title>EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><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.</description><subject>Cyclin-Dependent Kinases - antagonists &amp; inhibitors</subject><subject>Data Mining</subject><subject>Databases, Factual</subject><subject>Enzyme Inhibitors - chemistry</subject><subject>Pharmaceutical Preparations - chemistry</subject><subject>Protein Kinase Inhibitors - chemistry</subject><subject>Pyruvate Kinase - antagonists &amp; inhibitors</subject><subject>Small Molecule Libraries - chemistry</subject><issn>0305-1048</issn><issn>1362-4962</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv1DAQhS0EosvChR8AuSEhhdoex3E4IKG2QKWVOCx7Q7LGjrMxOHFqZ6n492TZUsGJy4xG79ObGT1CnjP6htEGzkdM5_vvN6pWD8iKgeSlaCR_SFYUaFUyKtQZeZLzN0qZYJV4TM44oxUDkCvy9epyt7nebt8WWOQBQyiHGJw9BFe0OKPB7IpbP_e_p3Lwox_3BY5tMfWYBrRx6mNyRXaYbH_ULE5ofPCzd_kpedRhyO7ZXV-T3YerLxefys3nj9cX7zelFQBzqVRH0UrJlWtdw6gVdceNkVBLi66thODMcqUURdUtjG2NFGgktqZ2yjBYk3cn3-lghkV345ww6Cn5AdNPHdHrf5XR93off2igbFlSLwav7gxSvDm4POvBZ-tCwNHFQ9ZKUlDQcPg_yTlIeqxr8vpE2hRzTq67v4dRfcxNL7npU24L_OLvD-7RP0EtwMsT0GHUuE8-692WL-dT1gBUUsAv4-mfvA</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Hsin, Kun-Yi</creator><creator>Morgan, Hugh P</creator><creator>Shave, Steven R</creator><creator>Hinton, Andrew C</creator><creator>Taylor, Paul</creator><creator>Walkinshaw, Malcolm D</creator><general>Oxford University Press</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>20110101</creationdate><title>EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities</title><author>Hsin, Kun-Yi ; Morgan, Hugh P ; Shave, Steven R ; Hinton, Andrew C ; Taylor, Paul ; Walkinshaw, Malcolm D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-88f0ac6628ede910c47f2bb6376caed54421c28880a8f8edcdb64ab6adb7e8b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Cyclin-Dependent Kinases - antagonists &amp; inhibitors</topic><topic>Data Mining</topic><topic>Databases, Factual</topic><topic>Enzyme Inhibitors - chemistry</topic><topic>Pharmaceutical Preparations - chemistry</topic><topic>Protein Kinase Inhibitors - chemistry</topic><topic>Pyruvate Kinase - antagonists &amp; inhibitors</topic><topic>Small Molecule Libraries - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hsin, Kun-Yi</creatorcontrib><creatorcontrib>Morgan, Hugh P</creatorcontrib><creatorcontrib>Shave, Steven R</creatorcontrib><creatorcontrib>Hinton, Andrew C</creatorcontrib><creatorcontrib>Taylor, Paul</creatorcontrib><creatorcontrib>Walkinshaw, Malcolm D</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hsin, Kun-Yi</au><au>Morgan, Hugh P</au><au>Shave, Steven R</au><au>Hinton, Andrew C</au><au>Taylor, Paul</au><au>Walkinshaw, Malcolm D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2011-01-01</date><risdate>2011</risdate><volume>39</volume><issue>Database issue</issue><spage>D1042</spage><epage>D1048</epage><pages>D1042-D1048</pages><issn>0305-1048</issn><issn>1362-4962</issn><eissn>1362-4962</eissn><abstract>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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>21051336</pmid><doi>10.1093/nar/gkq878</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0305-1048
ispartof Nucleic acids research, 2011-01, Vol.39 (Database issue), p.D1042-D1048
issn 0305-1048
1362-4962
1362-4962
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3013767
source Oxford Journals Open Access Collection; MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Cyclin-Dependent Kinases - antagonists & inhibitors
Data Mining
Databases, Factual
Enzyme Inhibitors - chemistry
Pharmaceutical Preparations - chemistry
Protein Kinase Inhibitors - chemistry
Pyruvate Kinase - antagonists & inhibitors
Small Molecule Libraries - chemistry
title EDULISS: a small-molecule database with data-mining and pharmacophore searching capabilities
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T10%3A58%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=EDULISS:%20a%20small-molecule%20database%20with%20data-mining%20and%20pharmacophore%20searching%20capabilities&rft.jtitle=Nucleic%20acids%20research&rft.au=Hsin,%20Kun-Yi&rft.date=2011-01-01&rft.volume=39&rft.issue=Database%20issue&rft.spage=D1042&rft.epage=D1048&rft.pages=D1042-D1048&rft.issn=0305-1048&rft.eissn=1362-4962&rft_id=info:doi/10.1093/nar/gkq878&rft_dat=%3Cproquest_pubme%3E822360822%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=822360822&rft_id=info:pmid/21051336&rfr_iscdi=true