Pharao: Pharmacophore alignment and optimization

Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of molecular graphics 2008-09, Vol.27 (2), p.161-169
Hauptverfasser: Taminau, Jonatan, Thijs, Gert, De Winter, Hans
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 169
container_issue 2
container_start_page 161
container_title Journal of molecular graphics
container_volume 27
creator Taminau, Jonatan
Thijs, Gert
De Winter, Hans
description Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of these continuous functions has a beneficent effect on the optimization problem introduced during alignment. The usefulness of Pharao is illustrated by means of three examples: a virtual screening of trypsin-binding ligands, a virtual screening of phosphodiesterase 5-binding ligands, and an investigation of the biological relevance of an unsupervised clustering of small ligands based on Pharao.
doi_str_mv 10.1016/j.jmgm.2008.04.003
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_69574021</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S109332630800048X</els_id><sourcerecordid>69574021</sourcerecordid><originalsourceid>FETCH-LOGICAL-c385t-f8b9e8c83ab622ccb6bf9a0d60663dd80ff15ccfab2d937c6d29ee93138aed9d3</originalsourceid><addsrcrecordid>eNqFkDtPwzAUhS0E4lH4AwyoE1vCtZ36gVhQxUuqBAPMlmPfFFdNXOwUCX49qVqJDaZzhu-c4SPknEJJgYqrRblo523JAFQJVQnA98gxVZIXFav4_tBB84IzwY_ISc4LGAgF8pAcUVWpiZRwTODl3SYbr8ebbK2Lq_eYcGyXYd612PVj2_lxXPWhDd-2D7E7JQeNXWY82-WIvN3fvU4fi9nzw9P0dlY4riZ90ahao3KK21ow5lwt6kZb8AKE4N4raBo6ca6xNfOaSyc804iaU64seu35iFxuf1cpfqwx96YN2eFyaTuM62yEnsgKGP0XZKAlk1IPINuCLsWcEzZmlUJr05ehYDZCzcJshJqNUAOVGXQNo4vd-7pu0f9OdgYH4GYL4CDjM2Ay2QXsHPqQ0PXGx_DX_w-KnYdi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>20972779</pqid></control><display><type>article</type><title>Pharao: Pharmacophore alignment and optimization</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Taminau, Jonatan ; Thijs, Gert ; De Winter, Hans</creator><creatorcontrib>Taminau, Jonatan ; Thijs, Gert ; De Winter, Hans</creatorcontrib><description>Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of these continuous functions has a beneficent effect on the optimization problem introduced during alignment. The usefulness of Pharao is illustrated by means of three examples: a virtual screening of trypsin-binding ligands, a virtual screening of phosphodiesterase 5-binding ligands, and an investigation of the biological relevance of an unsupervised clustering of small ligands based on Pharao.</description><identifier>ISSN: 1093-3263</identifier><identifier>ISSN: 0263-7855</identifier><identifier>EISSN: 1873-4243</identifier><identifier>DOI: 10.1016/j.jmgm.2008.04.003</identifier><identifier>PMID: 18485770</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Algorithms ; Cluster Analysis ; Clustering ; Drug Delivery Systems ; Drug Design ; Drug discovery ; Hydrogen Bonding ; Ligands ; Models, Molecular ; Molecular Conformation ; Pharmacophore ; Software ; Structure-Activity Relationship ; Virtual screening</subject><ispartof>Journal of molecular graphics, 2008-09, Vol.27 (2), p.161-169</ispartof><rights>2008 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-f8b9e8c83ab622ccb6bf9a0d60663dd80ff15ccfab2d937c6d29ee93138aed9d3</citedby><cites>FETCH-LOGICAL-c385t-f8b9e8c83ab622ccb6bf9a0d60663dd80ff15ccfab2d937c6d29ee93138aed9d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S109332630800048X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18485770$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Taminau, Jonatan</creatorcontrib><creatorcontrib>Thijs, Gert</creatorcontrib><creatorcontrib>De Winter, Hans</creatorcontrib><title>Pharao: Pharmacophore alignment and optimization</title><title>Journal of molecular graphics</title><addtitle>J Mol Graph Model</addtitle><description>Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of these continuous functions has a beneficent effect on the optimization problem introduced during alignment. The usefulness of Pharao is illustrated by means of three examples: a virtual screening of trypsin-binding ligands, a virtual screening of phosphodiesterase 5-binding ligands, and an investigation of the biological relevance of an unsupervised clustering of small ligands based on Pharao.</description><subject>Algorithms</subject><subject>Cluster Analysis</subject><subject>Clustering</subject><subject>Drug Delivery Systems</subject><subject>Drug Design</subject><subject>Drug discovery</subject><subject>Hydrogen Bonding</subject><subject>Ligands</subject><subject>Models, Molecular</subject><subject>Molecular Conformation</subject><subject>Pharmacophore</subject><subject>Software</subject><subject>Structure-Activity Relationship</subject><subject>Virtual screening</subject><issn>1093-3263</issn><issn>0263-7855</issn><issn>1873-4243</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkDtPwzAUhS0E4lH4AwyoE1vCtZ36gVhQxUuqBAPMlmPfFFdNXOwUCX49qVqJDaZzhu-c4SPknEJJgYqrRblo523JAFQJVQnA98gxVZIXFav4_tBB84IzwY_ISc4LGAgF8pAcUVWpiZRwTODl3SYbr8ebbK2Lq_eYcGyXYd612PVj2_lxXPWhDd-2D7E7JQeNXWY82-WIvN3fvU4fi9nzw9P0dlY4riZ90ahao3KK21ow5lwt6kZb8AKE4N4raBo6ca6xNfOaSyc804iaU64seu35iFxuf1cpfqwx96YN2eFyaTuM62yEnsgKGP0XZKAlk1IPINuCLsWcEzZmlUJr05ehYDZCzcJshJqNUAOVGXQNo4vd-7pu0f9OdgYH4GYL4CDjM2Ay2QXsHPqQ0PXGx_DX_w-KnYdi</recordid><startdate>20080901</startdate><enddate>20080901</enddate><creator>Taminau, Jonatan</creator><creator>Thijs, Gert</creator><creator>De Winter, Hans</creator><general>Elsevier Inc</general><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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20080901</creationdate><title>Pharao: Pharmacophore alignment and optimization</title><author>Taminau, Jonatan ; Thijs, Gert ; De Winter, Hans</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-f8b9e8c83ab622ccb6bf9a0d60663dd80ff15ccfab2d937c6d29ee93138aed9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Cluster Analysis</topic><topic>Clustering</topic><topic>Drug Delivery Systems</topic><topic>Drug Design</topic><topic>Drug discovery</topic><topic>Hydrogen Bonding</topic><topic>Ligands</topic><topic>Models, Molecular</topic><topic>Molecular Conformation</topic><topic>Pharmacophore</topic><topic>Software</topic><topic>Structure-Activity Relationship</topic><topic>Virtual screening</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Taminau, Jonatan</creatorcontrib><creatorcontrib>Thijs, Gert</creatorcontrib><creatorcontrib>De Winter, Hans</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of molecular graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Taminau, Jonatan</au><au>Thijs, Gert</au><au>De Winter, Hans</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pharao: Pharmacophore alignment and optimization</atitle><jtitle>Journal of molecular graphics</jtitle><addtitle>J Mol Graph Model</addtitle><date>2008-09-01</date><risdate>2008</risdate><volume>27</volume><issue>2</issue><spage>161</spage><epage>169</epage><pages>161-169</pages><issn>1093-3263</issn><issn>0263-7855</issn><eissn>1873-4243</eissn><abstract>Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations. The smooth nature of these continuous functions has a beneficent effect on the optimization problem introduced during alignment. The usefulness of Pharao is illustrated by means of three examples: a virtual screening of trypsin-binding ligands, a virtual screening of phosphodiesterase 5-binding ligands, and an investigation of the biological relevance of an unsupervised clustering of small ligands based on Pharao.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>18485770</pmid><doi>10.1016/j.jmgm.2008.04.003</doi><tpages>9</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1093-3263
ispartof Journal of molecular graphics, 2008-09, Vol.27 (2), p.161-169
issn 1093-3263
0263-7855
1873-4243
language eng
recordid cdi_proquest_miscellaneous_69574021
source MEDLINE; Elsevier ScienceDirect Journals
subjects Algorithms
Cluster Analysis
Clustering
Drug Delivery Systems
Drug Design
Drug discovery
Hydrogen Bonding
Ligands
Models, Molecular
Molecular Conformation
Pharmacophore
Software
Structure-Activity Relationship
Virtual screening
title Pharao: Pharmacophore alignment and optimization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T14%3A35%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Pharao:%20Pharmacophore%20alignment%20and%20optimization&rft.jtitle=Journal%20of%20molecular%20graphics&rft.au=Taminau,%20Jonatan&rft.date=2008-09-01&rft.volume=27&rft.issue=2&rft.spage=161&rft.epage=169&rft.pages=161-169&rft.issn=1093-3263&rft.eissn=1873-4243&rft_id=info:doi/10.1016/j.jmgm.2008.04.003&rft_dat=%3Cproquest_cross%3E69574021%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=20972779&rft_id=info:pmid/18485770&rft_els_id=S109332630800048X&rfr_iscdi=true