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Reactivity prediction in aza-Michael additions without transition state calculations: the Ames test for mutagenicity
Animal testing remains a contentious ethical issue in predictive toxicology. Thus, a fast, versatile, low-cost quantum chemical model is presented for predicting the risk of Ames mutagenicity in a series of 1,4 Michael acceptor type compounds. This framework eliminates the need for transition state...
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Published in: | Chemical communications (Cambridge, England) England), 2020-11, Vol.56 (88), p.13661-13664 |
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container_title | Chemical communications (Cambridge, England) |
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creator | Townsend, Piers A Grayson, Matthew N |
description | Animal testing remains a contentious ethical issue in predictive toxicology. Thus, a fast, versatile, low-cost quantum chemical model is presented for predicting the risk of Ames mutagenicity in a series of 1,4 Michael acceptor type compounds. This framework eliminates the need for transition state calculations, and uses an intermediate structure to probe the reactivity of aza-Michael acceptors. This model can be used in a variety of settings
e.g.
, the design of targeted covalent inhibitors and polyketide biosyntheses.
This work demonstrates a novel method for aza-Michael reactivity prediction using easily calculable intermediate structures instead of time-consuming transition states. |
doi_str_mv | 10.1039/d0cc05681b |
format | article |
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e.g.
, the design of targeted covalent inhibitors and polyketide biosyntheses.
This work demonstrates a novel method for aza-Michael reactivity prediction using easily calculable intermediate structures instead of time-consuming transition states.</description><identifier>ISSN: 1359-7345</identifier><identifier>EISSN: 1364-548X</identifier><identifier>DOI: 10.1039/d0cc05681b</identifier><identifier>PMID: 33073273</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Ames test ; Anti-Bacterial Agents - chemistry ; Anti-Bacterial Agents - pharmacology ; Density Functional Theory ; Models, Chemical ; Molecular Structure ; Mutagenicity ; Mutagens - chemistry ; Mutagens - pharmacology ; Quantitative Structure-Activity Relationship ; Quantum chemistry ; Salmonella typhimurium - drug effects ; Toxicology</subject><ispartof>Chemical communications (Cambridge, England), 2020-11, Vol.56 (88), p.13661-13664</ispartof><rights>Copyright Royal Society of Chemistry 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-d91542222452bc9ceb3dfec1f476f429ea17f5ce1c2a8924e2a9018f9f7949353</citedby><cites>FETCH-LOGICAL-c399t-d91542222452bc9ceb3dfec1f476f429ea17f5ce1c2a8924e2a9018f9f7949353</cites><orcidid>0000-0002-7164-7958 ; 0000-0003-2116-7929</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33073273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Townsend, Piers A</creatorcontrib><creatorcontrib>Grayson, Matthew N</creatorcontrib><title>Reactivity prediction in aza-Michael additions without transition state calculations: the Ames test for mutagenicity</title><title>Chemical communications (Cambridge, England)</title><addtitle>Chem Commun (Camb)</addtitle><description>Animal testing remains a contentious ethical issue in predictive toxicology. Thus, a fast, versatile, low-cost quantum chemical model is presented for predicting the risk of Ames mutagenicity in a series of 1,4 Michael acceptor type compounds. This framework eliminates the need for transition state calculations, and uses an intermediate structure to probe the reactivity of aza-Michael acceptors. This model can be used in a variety of settings
e.g.
, the design of targeted covalent inhibitors and polyketide biosyntheses.
This work demonstrates a novel method for aza-Michael reactivity prediction using easily calculable intermediate structures instead of time-consuming transition states.</description><subject>Ames test</subject><subject>Anti-Bacterial Agents - chemistry</subject><subject>Anti-Bacterial Agents - pharmacology</subject><subject>Density Functional Theory</subject><subject>Models, Chemical</subject><subject>Molecular Structure</subject><subject>Mutagenicity</subject><subject>Mutagens - chemistry</subject><subject>Mutagens - pharmacology</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>Quantum chemistry</subject><subject>Salmonella typhimurium - drug effects</subject><subject>Toxicology</subject><issn>1359-7345</issn><issn>1364-548X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kU1LxDAQhoMo7rp68a5EvAnVpEnaxttaP2FFEAVvJU0TN8tuW5NUWX-92Q_Xm3OZyczDO-EdAA4xOseI8IsKSYlYkuFyC_QxSWjEaPa2vagZj1JCWQ_sOTdBITDLdkGPEJSSOCV94J-VkN58Gj-HrVWVCY-mhqaG4ltEj0aOhZpCUVVm0Xfwy_hx03norajdsgedF15BKaaym4oldQn9WMHhTDnolfNQNxbOOi_eVW1k2LQPdrSYOnWwzgPwenvzkt9Ho6e7h3w4iiTh3EcVx4zGISiLS8mlKkmllcSapommMVcCp5pJhWUsMh5TFQuOcKa5TjnlhJEBOF3ptrb56MJPiknT2TqsLIJmypI4xUmgzlaUtI1zVumitWYm7LzAqFgYXFyjPF8afBXg47VkV85UtUF_HQ3AyQqwTm6mfxcq2koH5ug_hvwAGkSM7g</recordid><startdate>20201114</startdate><enddate>20201114</enddate><creator>Townsend, Piers A</creator><creator>Grayson, Matthew N</creator><general>Royal Society of Chemistry</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>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-7164-7958</orcidid><orcidid>https://orcid.org/0000-0003-2116-7929</orcidid></search><sort><creationdate>20201114</creationdate><title>Reactivity prediction in aza-Michael additions without transition state calculations: the Ames test for mutagenicity</title><author>Townsend, Piers A ; Grayson, Matthew N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-d91542222452bc9ceb3dfec1f476f429ea17f5ce1c2a8924e2a9018f9f7949353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Ames test</topic><topic>Anti-Bacterial Agents - chemistry</topic><topic>Anti-Bacterial Agents - pharmacology</topic><topic>Density Functional Theory</topic><topic>Models, Chemical</topic><topic>Molecular Structure</topic><topic>Mutagenicity</topic><topic>Mutagens - chemistry</topic><topic>Mutagens - pharmacology</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>Quantum chemistry</topic><topic>Salmonella typhimurium - drug effects</topic><topic>Toxicology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Townsend, Piers A</creatorcontrib><creatorcontrib>Grayson, Matthew N</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Chemical communications (Cambridge, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Townsend, Piers A</au><au>Grayson, Matthew N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reactivity prediction in aza-Michael additions without transition state calculations: the Ames test for mutagenicity</atitle><jtitle>Chemical communications (Cambridge, England)</jtitle><addtitle>Chem Commun (Camb)</addtitle><date>2020-11-14</date><risdate>2020</risdate><volume>56</volume><issue>88</issue><spage>13661</spage><epage>13664</epage><pages>13661-13664</pages><issn>1359-7345</issn><eissn>1364-548X</eissn><abstract>Animal testing remains a contentious ethical issue in predictive toxicology. Thus, a fast, versatile, low-cost quantum chemical model is presented for predicting the risk of Ames mutagenicity in a series of 1,4 Michael acceptor type compounds. This framework eliminates the need for transition state calculations, and uses an intermediate structure to probe the reactivity of aza-Michael acceptors. This model can be used in a variety of settings
e.g.
, the design of targeted covalent inhibitors and polyketide biosyntheses.
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source | Royal Society of Chemistry |
subjects | Ames test Anti-Bacterial Agents - chemistry Anti-Bacterial Agents - pharmacology Density Functional Theory Models, Chemical Molecular Structure Mutagenicity Mutagens - chemistry Mutagens - pharmacology Quantitative Structure-Activity Relationship Quantum chemistry Salmonella typhimurium - drug effects Toxicology |
title | Reactivity prediction in aza-Michael additions without transition state calculations: the Ames test for mutagenicity |
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