Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor

Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions. This technique has been applied to the final bond-forming step in the synthesis of AZD9291, an irreversible epidermal growth factor receptor kinase inhibitor developed b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Reaction chemistry & engineering 2016-01, Vol.1 (4), p.366-371
Hauptverfasser: Holmes, Nicholas, Akien, Geoffrey R, Blacker, A. John, Woodward, Robert L, Meadows, Rebecca E, Bourne, Richard A
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 371
container_issue 4
container_start_page 366
container_title Reaction chemistry & engineering
container_volume 1
creator Holmes, Nicholas
Akien, Geoffrey R
Blacker, A. John
Woodward, Robert L
Meadows, Rebecca E
Bourne, Richard A
description Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions. This technique has been applied to the final bond-forming step in the synthesis of AZD9291, an irreversible epidermal growth factor receptor kinase inhibitor developed by AstraZeneca. A four parameter optimisation of a telescoped amide coupling followed by an elimination reaction was achieved using at-line high performance liquid chromatography. Optimisations were initially carried out on a model compound (2,4-dimethoxyaniline) and the data used to track the formation of various impurities and ultimately propose a mechanism for their formation. Our protocol could then be applied to the optimisation of the 2-step telescoped reaction to synthesise AZD9291 in 89% yield. Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions.
doi_str_mv 10.1039/c6re00059b
format Article
fullrecord <record><control><sourceid>proquest_rsc_p</sourceid><recordid>TN_cdi_rsc_primary_c6re00059b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1835575392</sourcerecordid><originalsourceid>FETCH-LOGICAL-c322t-61aa3eacc4e2e608f26b27bd3a3646fe589e34c64505719c680b2d7e56a4c02d3</originalsourceid><addsrcrecordid>eNpN0M1LwzAYBvAgCo65i3chRxGq-WjS5DjnNoWBMPXipaRZskW7Ziapsv_ebhP19Lzk_SWQB4BzjK4xovJG82AQQkxWR6BHEBOZFIIe_5tPwSDGt85gjhAVRQ98PpnaZn6T3NpFlZxvoLcwrQy0rlE1jEktDXTN_ihumy6iizsznk7m8L1DcbdfucolH-Dw9U4SiWEbXbOEqoGqTX6tkllAW_svGIzSnTsDJ1bV0Qx-sg9eJuPn0X02e5w-jIazTFNCUsaxUrS7oXNDDEfCEl6RolpQRXnOrWFCGpprnjPECiw1F6gii8IwrnKNyIL2weXh3U3wH62Jqey-qU1dq8b4NpZYUMYKRiXp6NWB6uBjDMaWm-DWKmxLjMpdv-WIz8f7fm87fHHAIepf99c__QYxW3co</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1835575392</pqid></control><display><type>article</type><title>Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor</title><source>Royal Society Of Chemistry Journals 2008-</source><creator>Holmes, Nicholas ; Akien, Geoffrey R ; Blacker, A. John ; Woodward, Robert L ; Meadows, Rebecca E ; Bourne, Richard A</creator><creatorcontrib>Holmes, Nicholas ; Akien, Geoffrey R ; Blacker, A. John ; Woodward, Robert L ; Meadows, Rebecca E ; Bourne, Richard A</creatorcontrib><description>Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions. This technique has been applied to the final bond-forming step in the synthesis of AZD9291, an irreversible epidermal growth factor receptor kinase inhibitor developed by AstraZeneca. A four parameter optimisation of a telescoped amide coupling followed by an elimination reaction was achieved using at-line high performance liquid chromatography. Optimisations were initially carried out on a model compound (2,4-dimethoxyaniline) and the data used to track the formation of various impurities and ultimately propose a mechanism for their formation. Our protocol could then be applied to the optimisation of the 2-step telescoped reaction to synthesise AZD9291 in 89% yield. Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions.</description><identifier>ISSN: 2058-9883</identifier><identifier>EISSN: 2058-9883</identifier><identifier>DOI: 10.1039/c6re00059b</identifier><language>eng</language><subject>Algorithms ; Automation ; Formations ; Inhibitors ; Kinases ; Optimization ; Reactors ; Synthesis</subject><ispartof>Reaction chemistry &amp; engineering, 2016-01, Vol.1 (4), p.366-371</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c322t-61aa3eacc4e2e608f26b27bd3a3646fe589e34c64505719c680b2d7e56a4c02d3</citedby><cites>FETCH-LOGICAL-c322t-61aa3eacc4e2e608f26b27bd3a3646fe589e34c64505719c680b2d7e56a4c02d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Holmes, Nicholas</creatorcontrib><creatorcontrib>Akien, Geoffrey R</creatorcontrib><creatorcontrib>Blacker, A. John</creatorcontrib><creatorcontrib>Woodward, Robert L</creatorcontrib><creatorcontrib>Meadows, Rebecca E</creatorcontrib><creatorcontrib>Bourne, Richard A</creatorcontrib><title>Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor</title><title>Reaction chemistry &amp; engineering</title><description>Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions. This technique has been applied to the final bond-forming step in the synthesis of AZD9291, an irreversible epidermal growth factor receptor kinase inhibitor developed by AstraZeneca. A four parameter optimisation of a telescoped amide coupling followed by an elimination reaction was achieved using at-line high performance liquid chromatography. Optimisations were initially carried out on a model compound (2,4-dimethoxyaniline) and the data used to track the formation of various impurities and ultimately propose a mechanism for their formation. Our protocol could then be applied to the optimisation of the 2-step telescoped reaction to synthesise AZD9291 in 89% yield. Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions.</description><subject>Algorithms</subject><subject>Automation</subject><subject>Formations</subject><subject>Inhibitors</subject><subject>Kinases</subject><subject>Optimization</subject><subject>Reactors</subject><subject>Synthesis</subject><issn>2058-9883</issn><issn>2058-9883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNpN0M1LwzAYBvAgCo65i3chRxGq-WjS5DjnNoWBMPXipaRZskW7Ziapsv_ebhP19Lzk_SWQB4BzjK4xovJG82AQQkxWR6BHEBOZFIIe_5tPwSDGt85gjhAVRQ98PpnaZn6T3NpFlZxvoLcwrQy0rlE1jEktDXTN_ihumy6iizsznk7m8L1DcbdfucolH-Dw9U4SiWEbXbOEqoGqTX6tkllAW_svGIzSnTsDJ1bV0Qx-sg9eJuPn0X02e5w-jIazTFNCUsaxUrS7oXNDDEfCEl6RolpQRXnOrWFCGpprnjPECiw1F6gii8IwrnKNyIL2weXh3U3wH62Jqey-qU1dq8b4NpZYUMYKRiXp6NWB6uBjDMaWm-DWKmxLjMpdv-WIz8f7fm87fHHAIepf99c__QYxW3co</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Holmes, Nicholas</creator><creator>Akien, Geoffrey R</creator><creator>Blacker, A. John</creator><creator>Woodward, Robert L</creator><creator>Meadows, Rebecca E</creator><creator>Bourne, Richard A</creator><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20160101</creationdate><title>Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor</title><author>Holmes, Nicholas ; Akien, Geoffrey R ; Blacker, A. John ; Woodward, Robert L ; Meadows, Rebecca E ; Bourne, Richard A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c322t-61aa3eacc4e2e608f26b27bd3a3646fe589e34c64505719c680b2d7e56a4c02d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Automation</topic><topic>Formations</topic><topic>Inhibitors</topic><topic>Kinases</topic><topic>Optimization</topic><topic>Reactors</topic><topic>Synthesis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Holmes, Nicholas</creatorcontrib><creatorcontrib>Akien, Geoffrey R</creatorcontrib><creatorcontrib>Blacker, A. John</creatorcontrib><creatorcontrib>Woodward, Robert L</creatorcontrib><creatorcontrib>Meadows, Rebecca E</creatorcontrib><creatorcontrib>Bourne, Richard A</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Reaction chemistry &amp; engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Holmes, Nicholas</au><au>Akien, Geoffrey R</au><au>Blacker, A. John</au><au>Woodward, Robert L</au><au>Meadows, Rebecca E</au><au>Bourne, Richard A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor</atitle><jtitle>Reaction chemistry &amp; engineering</jtitle><date>2016-01-01</date><risdate>2016</risdate><volume>1</volume><issue>4</issue><spage>366</spage><epage>371</epage><pages>366-371</pages><issn>2058-9883</issn><eissn>2058-9883</eissn><abstract>Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions. This technique has been applied to the final bond-forming step in the synthesis of AZD9291, an irreversible epidermal growth factor receptor kinase inhibitor developed by AstraZeneca. A four parameter optimisation of a telescoped amide coupling followed by an elimination reaction was achieved using at-line high performance liquid chromatography. Optimisations were initially carried out on a model compound (2,4-dimethoxyaniline) and the data used to track the formation of various impurities and ultimately propose a mechanism for their formation. Our protocol could then be applied to the optimisation of the 2-step telescoped reaction to synthesise AZD9291 in 89% yield. Self-optimising flow reactors combine online analysis with evolutionary feedback algorithms to rapidly achieve optimum conditions.</abstract><doi>10.1039/c6re00059b</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2058-9883
ispartof Reaction chemistry & engineering, 2016-01, Vol.1 (4), p.366-371
issn 2058-9883
2058-9883
language eng
recordid cdi_rsc_primary_c6re00059b
source Royal Society Of Chemistry Journals 2008-
subjects Algorithms
Automation
Formations
Inhibitors
Kinases
Optimization
Reactors
Synthesis
title Self-optimisation of the final stage in the synthesis of EGFR kinase inhibitor AZD9291 using an automated flow reactor
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T01%3A28%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_rsc_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Self-optimisation%20of%20the%20final%20stage%20in%20the%20synthesis%20of%20EGFR%20kinase%20inhibitor%20AZD9291%20using%20an%20automated%20flow%20reactor&rft.jtitle=Reaction%20chemistry%20&%20engineering&rft.au=Holmes,%20Nicholas&rft.date=2016-01-01&rft.volume=1&rft.issue=4&rft.spage=366&rft.epage=371&rft.pages=366-371&rft.issn=2058-9883&rft.eissn=2058-9883&rft_id=info:doi/10.1039/c6re00059b&rft_dat=%3Cproquest_rsc_p%3E1835575392%3C/proquest_rsc_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1835575392&rft_id=info:pmid/&rfr_iscdi=true