Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents
[Display omitted] •QSAR modeling was applied to the rational design of novel 1,3-oxazole-based sulfonamides as potential anticancer agents.•A series of tubuline inhibitors with predicted activity were synthesized and tested for their anticancer activity.•The high antiproliferative activity against c...
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creator | Kachaeva, Maryna V. Hodyna, Diana M. Semenyuta, Ivan V. Pilyo, Stepan G. Prokopenko, Volodymyr M. Kovalishyn, Vasyl V. Metelytsia, Larysa O. Brovarets, Volodymyr S. |
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•QSAR modeling was applied to the rational design of novel 1,3-oxazole-based sulfonamides as potential anticancer agents.•A series of tubuline inhibitors with predicted activity were synthesized and tested for their anticancer activity.•The high antiproliferative activity against cancer cells was found for compounds 4–9.•Molecular Docking of compounds 4–9 to the active colchicine site of tubulin was conducted.
Based on modern literature data about biological activity of E7010 derivatives, a series of new sulfonamides as potential anticancer drugs were rationally designed by QSAR modeling methods Сlassification learning QSAR models to predict the tubulin polymerization inhibition activity of novel sulfonamides as potential anticancer agents were created using the Online Chemical Modeling Environment (OCHEM) and are freely available online on OCHEM server at https://ochem.eu/article/107790. A series of sulfonamides with predicted activity were synthesized and tested against 60 human cancer cell lines with growth inhibition percent values. The highest antiproliferative activity against leukemia (cell lines K-562 and MOLT-4), non-small cell lung cancer (cell line NCI-H522), colon cancer (cell lines NT29 and SW-620), melanoma (cell lines MALME-3M and UACC-257), ovarian cancer (cell lines IGROV1 and OVCAR-3), renal cancer (cell lines ACHN and UO-31), breast cancer (cell line T-47D) was found for compounds 4–9. According to the docking results the compounds 4–9 induce cytotoxicity by the disruption of the microtubule dynamics by inhibiting tubulin polymerization via effective binding into colchicine domain, similar the E7010. |
doi_str_mv | 10.1016/j.compbiolchem.2018.04.006 |
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•QSAR modeling was applied to the rational design of novel 1,3-oxazole-based sulfonamides as potential anticancer agents.•A series of tubuline inhibitors with predicted activity were synthesized and tested for their anticancer activity.•The high antiproliferative activity against cancer cells was found for compounds 4–9.•Molecular Docking of compounds 4–9 to the active colchicine site of tubulin was conducted.
Based on modern literature data about biological activity of E7010 derivatives, a series of new sulfonamides as potential anticancer drugs were rationally designed by QSAR modeling methods Сlassification learning QSAR models to predict the tubulin polymerization inhibition activity of novel sulfonamides as potential anticancer agents were created using the Online Chemical Modeling Environment (OCHEM) and are freely available online on OCHEM server at https://ochem.eu/article/107790. A series of sulfonamides with predicted activity were synthesized and tested against 60 human cancer cell lines with growth inhibition percent values. The highest antiproliferative activity against leukemia (cell lines K-562 and MOLT-4), non-small cell lung cancer (cell line NCI-H522), colon cancer (cell lines NT29 and SW-620), melanoma (cell lines MALME-3M and UACC-257), ovarian cancer (cell lines IGROV1 and OVCAR-3), renal cancer (cell lines ACHN and UO-31), breast cancer (cell line T-47D) was found for compounds 4–9. According to the docking results the compounds 4–9 induce cytotoxicity by the disruption of the microtubule dynamics by inhibiting tubulin polymerization via effective binding into colchicine domain, similar the E7010.</description><identifier>ISSN: 1476-9271</identifier><identifier>EISSN: 1476-928X</identifier><identifier>DOI: 10.1016/j.compbiolchem.2018.04.006</identifier><identifier>PMID: 29698921</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>1,3-Oxazoles ; Anticancer activity ; E7010 ; Molecular docking ; QSAR modeling ; Sulfonamides</subject><ispartof>Computational biology and chemistry, 2018-06, Vol.74, p.294-303</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright © 2018 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c380t-a5d45203a34b02b1f2afa954850a2da108b08cbcfdb3bdc260d8d1b569aa0dd33</citedby><cites>FETCH-LOGICAL-c380t-a5d45203a34b02b1f2afa954850a2da108b08cbcfdb3bdc260d8d1b569aa0dd33</cites><orcidid>0000-0001-8464-3692 ; 0000-0003-1517-4807</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compbiolchem.2018.04.006$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29698921$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kachaeva, Maryna V.</creatorcontrib><creatorcontrib>Hodyna, Diana M.</creatorcontrib><creatorcontrib>Semenyuta, Ivan V.</creatorcontrib><creatorcontrib>Pilyo, Stepan G.</creatorcontrib><creatorcontrib>Prokopenko, Volodymyr M.</creatorcontrib><creatorcontrib>Kovalishyn, Vasyl V.</creatorcontrib><creatorcontrib>Metelytsia, Larysa O.</creatorcontrib><creatorcontrib>Brovarets, Volodymyr S.</creatorcontrib><title>Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents</title><title>Computational biology and chemistry</title><addtitle>Comput Biol Chem</addtitle><description>[Display omitted]
•QSAR modeling was applied to the rational design of novel 1,3-oxazole-based sulfonamides as potential anticancer agents.•A series of tubuline inhibitors with predicted activity were synthesized and tested for their anticancer activity.•The high antiproliferative activity against cancer cells was found for compounds 4–9.•Molecular Docking of compounds 4–9 to the active colchicine site of tubulin was conducted.
Based on modern literature data about biological activity of E7010 derivatives, a series of new sulfonamides as potential anticancer drugs were rationally designed by QSAR modeling methods Сlassification learning QSAR models to predict the tubulin polymerization inhibition activity of novel sulfonamides as potential anticancer agents were created using the Online Chemical Modeling Environment (OCHEM) and are freely available online on OCHEM server at https://ochem.eu/article/107790. A series of sulfonamides with predicted activity were synthesized and tested against 60 human cancer cell lines with growth inhibition percent values. The highest antiproliferative activity against leukemia (cell lines K-562 and MOLT-4), non-small cell lung cancer (cell line NCI-H522), colon cancer (cell lines NT29 and SW-620), melanoma (cell lines MALME-3M and UACC-257), ovarian cancer (cell lines IGROV1 and OVCAR-3), renal cancer (cell lines ACHN and UO-31), breast cancer (cell line T-47D) was found for compounds 4–9. According to the docking results the compounds 4–9 induce cytotoxicity by the disruption of the microtubule dynamics by inhibiting tubulin polymerization via effective binding into colchicine domain, similar the E7010.</description><subject>1,3-Oxazoles</subject><subject>Anticancer activity</subject><subject>E7010</subject><subject>Molecular docking</subject><subject>QSAR modeling</subject><subject>Sulfonamides</subject><issn>1476-9271</issn><issn>1476-928X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqNkE1LxDAQhoMofv8FKZ48uHWStLX1JusnCF4UvIVJMtUsbbI27YL_3siqePQ0w_C8M8zD2DGHnAOvzha5Cf1Su9CZN-pzAbzOocgBqg22y4vzataI-mXztz_nO2wvxgWAkADlNtsRTdXUjeC77PmKonv1p1n88ONb6mOG3ma0wm7C0QWfhTbzYUVdFqeuDR57ZylBMVuGkfzosEuJ0Rn0hoYMX9MsHrCtFrtIh991nz3fXD_N72YPj7f388uHmZE1jDMsbVEKkCgLDULzVmCLTVnUJaCwyKHWUBttWqultkZUYGvLdVk1iGCtlPvsZL13OYT3ieKoehcNdR16ClNUabeQTcMlT-jFGjVDiHGgVi0H1-PwoTioL61qof5qVV9aFRQqaU3ho-87k-7J_kZ_PCbgag1Q-nblaFDROEpGrBvIjMoG9587n3mCkfk</recordid><startdate>201806</startdate><enddate>201806</enddate><creator>Kachaeva, Maryna V.</creator><creator>Hodyna, Diana M.</creator><creator>Semenyuta, Ivan V.</creator><creator>Pilyo, Stepan G.</creator><creator>Prokopenko, Volodymyr M.</creator><creator>Kovalishyn, Vasyl V.</creator><creator>Metelytsia, Larysa O.</creator><creator>Brovarets, Volodymyr S.</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8464-3692</orcidid><orcidid>https://orcid.org/0000-0003-1517-4807</orcidid></search><sort><creationdate>201806</creationdate><title>Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents</title><author>Kachaeva, Maryna V. ; Hodyna, Diana M. ; Semenyuta, Ivan V. ; Pilyo, Stepan G. ; Prokopenko, Volodymyr M. ; Kovalishyn, Vasyl V. ; Metelytsia, Larysa O. ; Brovarets, Volodymyr S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-a5d45203a34b02b1f2afa954850a2da108b08cbcfdb3bdc260d8d1b569aa0dd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>1,3-Oxazoles</topic><topic>Anticancer activity</topic><topic>E7010</topic><topic>Molecular docking</topic><topic>QSAR modeling</topic><topic>Sulfonamides</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kachaeva, Maryna V.</creatorcontrib><creatorcontrib>Hodyna, Diana M.</creatorcontrib><creatorcontrib>Semenyuta, Ivan V.</creatorcontrib><creatorcontrib>Pilyo, Stepan G.</creatorcontrib><creatorcontrib>Prokopenko, Volodymyr M.</creatorcontrib><creatorcontrib>Kovalishyn, Vasyl V.</creatorcontrib><creatorcontrib>Metelytsia, Larysa O.</creatorcontrib><creatorcontrib>Brovarets, Volodymyr S.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computational biology and chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kachaeva, Maryna V.</au><au>Hodyna, Diana M.</au><au>Semenyuta, Ivan V.</au><au>Pilyo, Stepan G.</au><au>Prokopenko, Volodymyr M.</au><au>Kovalishyn, Vasyl V.</au><au>Metelytsia, Larysa O.</au><au>Brovarets, Volodymyr S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents</atitle><jtitle>Computational biology and chemistry</jtitle><addtitle>Comput Biol Chem</addtitle><date>2018-06</date><risdate>2018</risdate><volume>74</volume><spage>294</spage><epage>303</epage><pages>294-303</pages><issn>1476-9271</issn><eissn>1476-928X</eissn><abstract>[Display omitted]
•QSAR modeling was applied to the rational design of novel 1,3-oxazole-based sulfonamides as potential anticancer agents.•A series of tubuline inhibitors with predicted activity were synthesized and tested for their anticancer activity.•The high antiproliferative activity against cancer cells was found for compounds 4–9.•Molecular Docking of compounds 4–9 to the active colchicine site of tubulin was conducted.
Based on modern literature data about biological activity of E7010 derivatives, a series of new sulfonamides as potential anticancer drugs were rationally designed by QSAR modeling methods Сlassification learning QSAR models to predict the tubulin polymerization inhibition activity of novel sulfonamides as potential anticancer agents were created using the Online Chemical Modeling Environment (OCHEM) and are freely available online on OCHEM server at https://ochem.eu/article/107790. A series of sulfonamides with predicted activity were synthesized and tested against 60 human cancer cell lines with growth inhibition percent values. The highest antiproliferative activity against leukemia (cell lines K-562 and MOLT-4), non-small cell lung cancer (cell line NCI-H522), colon cancer (cell lines NT29 and SW-620), melanoma (cell lines MALME-3M and UACC-257), ovarian cancer (cell lines IGROV1 and OVCAR-3), renal cancer (cell lines ACHN and UO-31), breast cancer (cell line T-47D) was found for compounds 4–9. According to the docking results the compounds 4–9 induce cytotoxicity by the disruption of the microtubule dynamics by inhibiting tubulin polymerization via effective binding into colchicine domain, similar the E7010.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>29698921</pmid><doi>10.1016/j.compbiolchem.2018.04.006</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8464-3692</orcidid><orcidid>https://orcid.org/0000-0003-1517-4807</orcidid></addata></record> |
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subjects | 1,3-Oxazoles Anticancer activity E7010 Molecular docking QSAR modeling Sulfonamides |
title | Design, synthesis and evaluation of novel sulfonamides as potential anticancer agents |
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