Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening
Human carbonic anhydrase VII (hCA VII) constitutes a promising molecular target for the treatment of epileptic seizures and other central nervous system disorders due to its almost exclusive expression in neurons. Achieving isoform selectivity is one of the main challenges for the discovery of new h...
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Veröffentlicht in: | Journal of chemical information and modeling 2022-10, Vol.62 (19), p.4760-4770 |
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creator | Gantner, Melisa E. Prada Gori, Denis N. Llanos, Manuel A. Talevi, Alan Angeli, Andrea Vullo, Daniela Supuran, Claudiu T. Gavernet, Luciana |
description | Human carbonic anhydrase VII (hCA VII) constitutes a promising molecular target for the treatment of epileptic seizures and other central nervous system disorders due to its almost exclusive expression in neurons. Achieving isoform selectivity is one of the main challenges for the discovery of new hCA inhibitors, since nonspecific inhibition may lead to tolerance and side effects. In the present work, we report the development of a molecular docking protocol based on AutoDock4Zn for the search of new hCA VII inhibitors by virtual screening. The docking protocol was applied to the screening of two sets of compounds: a ZINC15 subset of sulfur-containing structures and an in-house library consisting of synthetic and commercial candidates (including approved drugs). Five compounds were selected from the first screening campaign and three from the second one, and they were tested in vitro against the enzyme. Among the eight selected structures, four showed K i values in the low nanomolar range. These confirmed hits include three approved drugs: meloxicam, piroxicam, and nitrofurantoin, which also showed good selectivity for hCA VII versus hCA II. |
doi_str_mv | 10.1021/acs.jcim.2c00910 |
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Achieving isoform selectivity is one of the main challenges for the discovery of new hCA inhibitors, since nonspecific inhibition may lead to tolerance and side effects. In the present work, we report the development of a molecular docking protocol based on AutoDock4Zn for the search of new hCA VII inhibitors by virtual screening. The docking protocol was applied to the screening of two sets of compounds: a ZINC15 subset of sulfur-containing structures and an in-house library consisting of synthetic and commercial candidates (including approved drugs). Five compounds were selected from the first screening campaign and three from the second one, and they were tested in vitro against the enzyme. Among the eight selected structures, four showed K i values in the low nanomolar range. These confirmed hits include three approved drugs: meloxicam, piroxicam, and nitrofurantoin, which also showed good selectivity for hCA VII versus hCA II.</description><identifier>ISSN: 1549-9596</identifier><identifier>EISSN: 1549-960X</identifier><identifier>DOI: 10.1021/acs.jcim.2c00910</identifier><language>eng</language><publisher>Washington: American Chemical Society</publisher><subject>Carbonic anhydrase ; Central nervous system ; Computational Chemistry ; Drugs ; Inhibitors ; Molecular docking ; Screening ; Seizures ; Selectivity ; Side effects</subject><ispartof>Journal of chemical information and modeling, 2022-10, Vol.62 (19), p.4760-4770</ispartof><rights>2022 American Chemical Society</rights><rights>Copyright American Chemical Society Oct 10, 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a341t-71f6303ca321e2eb4a1da9db94fd7be3e7ef78cfa686ff698cd03a4aa5e6ce7a3</citedby><cites>FETCH-LOGICAL-a341t-71f6303ca321e2eb4a1da9db94fd7be3e7ef78cfa686ff698cd03a4aa5e6ce7a3</cites><orcidid>0000-0003-3178-826X ; 0000-0003-4262-0323 ; 0000-0002-9120-4951 ; 0000-0002-1470-7192 ; 0000-0001-7491-4268 ; 0000-0001-9285-3788 ; 0000-0003-2258-1996</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c00910$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.jcim.2c00910$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>315,782,786,2769,27085,27933,27934,56747,56797</link.rule.ids></links><search><creatorcontrib>Gantner, Melisa E.</creatorcontrib><creatorcontrib>Prada Gori, Denis N.</creatorcontrib><creatorcontrib>Llanos, Manuel A.</creatorcontrib><creatorcontrib>Talevi, Alan</creatorcontrib><creatorcontrib>Angeli, Andrea</creatorcontrib><creatorcontrib>Vullo, Daniela</creatorcontrib><creatorcontrib>Supuran, Claudiu T.</creatorcontrib><creatorcontrib>Gavernet, Luciana</creatorcontrib><title>Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening</title><title>Journal of chemical information and modeling</title><addtitle>J. Chem. Inf. Model</addtitle><description>Human carbonic anhydrase VII (hCA VII) constitutes a promising molecular target for the treatment of epileptic seizures and other central nervous system disorders due to its almost exclusive expression in neurons. Achieving isoform selectivity is one of the main challenges for the discovery of new hCA inhibitors, since nonspecific inhibition may lead to tolerance and side effects. In the present work, we report the development of a molecular docking protocol based on AutoDock4Zn for the search of new hCA VII inhibitors by virtual screening. The docking protocol was applied to the screening of two sets of compounds: a ZINC15 subset of sulfur-containing structures and an in-house library consisting of synthetic and commercial candidates (including approved drugs). Five compounds were selected from the first screening campaign and three from the second one, and they were tested in vitro against the enzyme. Among the eight selected structures, four showed K i values in the low nanomolar range. These confirmed hits include three approved drugs: meloxicam, piroxicam, and nitrofurantoin, which also showed good selectivity for hCA VII versus hCA II.</description><subject>Carbonic anhydrase</subject><subject>Central nervous system</subject><subject>Computational Chemistry</subject><subject>Drugs</subject><subject>Inhibitors</subject><subject>Molecular docking</subject><subject>Screening</subject><subject>Seizures</subject><subject>Selectivity</subject><subject>Side effects</subject><issn>1549-9596</issn><issn>1549-960X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kE1Lw0AQhoMoWKt3jwtePJi6H8luc6zFj0DRQ7V4EMJkM2u3tJu6myD996a2vQieZmCe92V4ouiS0QGjnN2CDoOFtqsB15RmjB5FPZYmWZxJ-n582NNMnkZnISwoFSKTvBd95BW6xhqrobG1I7Uhz_hNxuDL2llNRm6-qTwEJLM8J7mb29I2tQ-k3JBp41vdtB7juw6oyMz6poUlmWqP6Kz7PI9ODCwDXuxnP3p7uH8dP8WTl8d8PJrEIBLWxIoZKajQIDhDjmUCrIKsKrPEVKpEgQqNGmoDciiNkdlQV1RAApCi1KhA9KPrXe_a118thqZY2aBxuQSHdRsKrphMeSqV7NCrP-iibr3rvusoLoYpVVx1FN1R2tcheDTF2tsV-E3BaLHVXXS6i63uYq-7i9zsIr-XQ-e_-A8qtISt</recordid><startdate>20221010</startdate><enddate>20221010</enddate><creator>Gantner, Melisa E.</creator><creator>Prada Gori, Denis N.</creator><creator>Llanos, Manuel A.</creator><creator>Talevi, Alan</creator><creator>Angeli, Andrea</creator><creator>Vullo, Daniela</creator><creator>Supuran, Claudiu T.</creator><creator>Gavernet, Luciana</creator><general>American Chemical Society</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3178-826X</orcidid><orcidid>https://orcid.org/0000-0003-4262-0323</orcidid><orcidid>https://orcid.org/0000-0002-9120-4951</orcidid><orcidid>https://orcid.org/0000-0002-1470-7192</orcidid><orcidid>https://orcid.org/0000-0001-7491-4268</orcidid><orcidid>https://orcid.org/0000-0001-9285-3788</orcidid><orcidid>https://orcid.org/0000-0003-2258-1996</orcidid></search><sort><creationdate>20221010</creationdate><title>Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening</title><author>Gantner, Melisa E. ; Prada Gori, Denis N. ; Llanos, Manuel A. ; Talevi, Alan ; Angeli, Andrea ; Vullo, Daniela ; Supuran, Claudiu T. ; Gavernet, Luciana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a341t-71f6303ca321e2eb4a1da9db94fd7be3e7ef78cfa686ff698cd03a4aa5e6ce7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Carbonic anhydrase</topic><topic>Central nervous system</topic><topic>Computational Chemistry</topic><topic>Drugs</topic><topic>Inhibitors</topic><topic>Molecular docking</topic><topic>Screening</topic><topic>Seizures</topic><topic>Selectivity</topic><topic>Side effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gantner, Melisa E.</creatorcontrib><creatorcontrib>Prada Gori, Denis N.</creatorcontrib><creatorcontrib>Llanos, Manuel A.</creatorcontrib><creatorcontrib>Talevi, Alan</creatorcontrib><creatorcontrib>Angeli, Andrea</creatorcontrib><creatorcontrib>Vullo, Daniela</creatorcontrib><creatorcontrib>Supuran, Claudiu T.</creatorcontrib><creatorcontrib>Gavernet, Luciana</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</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>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of chemical information and modeling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gantner, Melisa E.</au><au>Prada Gori, Denis N.</au><au>Llanos, Manuel A.</au><au>Talevi, Alan</au><au>Angeli, Andrea</au><au>Vullo, Daniela</au><au>Supuran, Claudiu T.</au><au>Gavernet, Luciana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening</atitle><jtitle>Journal of chemical information and modeling</jtitle><addtitle>J. Chem. Inf. Model</addtitle><date>2022-10-10</date><risdate>2022</risdate><volume>62</volume><issue>19</issue><spage>4760</spage><epage>4770</epage><pages>4760-4770</pages><issn>1549-9596</issn><eissn>1549-960X</eissn><abstract>Human carbonic anhydrase VII (hCA VII) constitutes a promising molecular target for the treatment of epileptic seizures and other central nervous system disorders due to its almost exclusive expression in neurons. Achieving isoform selectivity is one of the main challenges for the discovery of new hCA inhibitors, since nonspecific inhibition may lead to tolerance and side effects. In the present work, we report the development of a molecular docking protocol based on AutoDock4Zn for the search of new hCA VII inhibitors by virtual screening. The docking protocol was applied to the screening of two sets of compounds: a ZINC15 subset of sulfur-containing structures and an in-house library consisting of synthetic and commercial candidates (including approved drugs). Five compounds were selected from the first screening campaign and three from the second one, and they were tested in vitro against the enzyme. Among the eight selected structures, four showed K i values in the low nanomolar range. These confirmed hits include three approved drugs: meloxicam, piroxicam, and nitrofurantoin, which also showed good selectivity for hCA VII versus hCA II.</abstract><cop>Washington</cop><pub>American Chemical Society</pub><doi>10.1021/acs.jcim.2c00910</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3178-826X</orcidid><orcidid>https://orcid.org/0000-0003-4262-0323</orcidid><orcidid>https://orcid.org/0000-0002-9120-4951</orcidid><orcidid>https://orcid.org/0000-0002-1470-7192</orcidid><orcidid>https://orcid.org/0000-0001-7491-4268</orcidid><orcidid>https://orcid.org/0000-0001-9285-3788</orcidid><orcidid>https://orcid.org/0000-0003-2258-1996</orcidid></addata></record> |
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subjects | Carbonic anhydrase Central nervous system Computational Chemistry Drugs Inhibitors Molecular docking Screening Seizures Selectivity Side effects |
title | Identification of New Carbonic Anhydrase VII Inhibitors by Structure-Based Virtual Screening |
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