Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets
Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molec...
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creator | Maia, Eduardo Habib Bechelane Campos, Vinícius Alves dos Reis Santos, Bianca Costa, Marina Santos Lima, Iann Gabriel Greco, Sandro J. Ribeiro, Rosy I. M. A. Munayer, Felipe M. da Silva, Alisson Marques Taranto, Alex Gutterres |
description | Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molecular targets. After generating the ligands in a drawing package in the Protein Data Bank (PDB) format, Octopus can carry out geometry refinement using the semi-empirical method PM7 implemented in MOPAC2016. Docking simulations can be performed using AutoDock Vina and can utilize the Our Own Molecular Targets (OOMT) databank. Finally, the proposed software compiles the best binding energies into a standard table. Here, we describe two successful case studies that were verified by biological assay. In the first case study, the vHTS process was carried out for 22 (phenylamino)urea derivatives. The vHTS process identified a metalloprotease with the PDB code 1GKC as a molecular target for derivative LE&007. In a biological assay, compound LE&007 was found to inhibit 80% of the activity of this enzyme. In the second case study, compound Tx001 was submitted to the Octopus routine, and the results suggested that
Plasmodium falciparum
ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC
50
) of 8.2 μM against PfATP6. These successful examples illustrate the utility of this software for finding appropriate molecular targets for compounds. Hits can then be identified and optimized as new antineoplastic and antimalarial drugs. Finally, Octopus has a friendly Linux-based user interface, and is available at
www.drugdiscovery.com.br
.
Graphical Abstract
Octopus: A platform for inverse virtual screening (IVS) to search new molecular targets for drugs. |
doi_str_mv | 10.1007/s00894-016-3184-9 |
format | Article |
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Plasmodium falciparum
ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC
50
) of 8.2 μM against PfATP6. These successful examples illustrate the utility of this software for finding appropriate molecular targets for compounds. Hits can then be identified and optimized as new antineoplastic and antimalarial drugs. Finally, Octopus has a friendly Linux-based user interface, and is available at
www.drugdiscovery.com.br
.
Graphical Abstract
Octopus: A platform for inverse virtual screening (IVS) to search new molecular targets for drugs.</description><identifier>ISSN: 1610-2940</identifier><identifier>EISSN: 0948-5023</identifier><identifier>DOI: 10.1007/s00894-016-3184-9</identifier><identifier>PMID: 28064377</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Assaying ; Bioassays ; Brazilian Symposium of Theoretical Chemistry (SBQT 2015) ; Case studies ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Computer Appl. in Life Sciences ; Computer Applications in Chemistry ; Data banks ; Malaria ; Molecular docking ; Molecular Medicine ; Octopuses ; Original Paper ; Screening ; Software ; Theoretical and Computational Chemistry</subject><ispartof>Journal of molecular modeling, 2017, Vol.23 (1), p.26-11, Article 26</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-926c45531f0439ba208439624684408f5579d836aaddde4823f9ab22845b24a23</citedby><cites>FETCH-LOGICAL-c372t-926c45531f0439ba208439624684408f5579d836aaddde4823f9ab22845b24a23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00894-016-3184-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00894-016-3184-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28064377$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Maia, Eduardo Habib Bechelane</creatorcontrib><creatorcontrib>Campos, Vinícius Alves</creatorcontrib><creatorcontrib>dos Reis Santos, Bianca</creatorcontrib><creatorcontrib>Costa, Marina Santos</creatorcontrib><creatorcontrib>Lima, Iann Gabriel</creatorcontrib><creatorcontrib>Greco, Sandro J.</creatorcontrib><creatorcontrib>Ribeiro, Rosy I. M. A.</creatorcontrib><creatorcontrib>Munayer, Felipe M.</creatorcontrib><creatorcontrib>da Silva, Alisson Marques</creatorcontrib><creatorcontrib>Taranto, Alex Gutterres</creatorcontrib><title>Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets</title><title>Journal of molecular modeling</title><addtitle>J Mol Model</addtitle><addtitle>J Mol Model</addtitle><description>Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molecular targets. After generating the ligands in a drawing package in the Protein Data Bank (PDB) format, Octopus can carry out geometry refinement using the semi-empirical method PM7 implemented in MOPAC2016. Docking simulations can be performed using AutoDock Vina and can utilize the Our Own Molecular Targets (OOMT) databank. Finally, the proposed software compiles the best binding energies into a standard table. Here, we describe two successful case studies that were verified by biological assay. In the first case study, the vHTS process was carried out for 22 (phenylamino)urea derivatives. The vHTS process identified a metalloprotease with the PDB code 1GKC as a molecular target for derivative LE&007. In a biological assay, compound LE&007 was found to inhibit 80% of the activity of this enzyme. In the second case study, compound Tx001 was submitted to the Octopus routine, and the results suggested that
Plasmodium falciparum
ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC
50
) of 8.2 μM against PfATP6. These successful examples illustrate the utility of this software for finding appropriate molecular targets for compounds. Hits can then be identified and optimized as new antineoplastic and antimalarial drugs. Finally, Octopus has a friendly Linux-based user interface, and is available at
www.drugdiscovery.com.br
.
Graphical Abstract
Octopus: A platform for inverse virtual screening (IVS) to search new molecular targets for drugs.</description><subject>Assaying</subject><subject>Bioassays</subject><subject>Brazilian Symposium of Theoretical Chemistry (SBQT 2015)</subject><subject>Case studies</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computer Appl. in Life Sciences</subject><subject>Computer Applications in Chemistry</subject><subject>Data banks</subject><subject>Malaria</subject><subject>Molecular docking</subject><subject>Molecular Medicine</subject><subject>Octopuses</subject><subject>Original Paper</subject><subject>Screening</subject><subject>Software</subject><subject>Theoretical and Computational Chemistry</subject><issn>1610-2940</issn><issn>0948-5023</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kUuLFTEQhYM4OJc78wPcSMCNm2jl2Yk7GXzBwGzGdcjtTj-G7k6bh-K_nzR3FBGkoCpwvjoVOAi9pPCWAjTvEoA2ggBVhFMtiHmGDmCEJhIYf44OVFEgzAi4RNcpPQAAZVJJxl6gS6ZBCd40B_Tzrs1hK-k9dnibXe5DXHBtOI8e_5hiLm7G4zSMJI8xlGHcSsapjd6v0zrg0O97Icz7qw3LFsraJewGN60pVy35vEtLmH1bZld9XRx8Tlfoondz8tdP84i-ffp4f_OF3N59_nrz4Za0vGGZGKZaISWnPQhuTo6BrlMxobQQoHspG9Nprpzrus4LzXhv3IkxLeSJCcf4Eb05-24xfC8-ZbtMqfXz7FYfSrJUS6WV1MxU9PU_6EMoca2_q5SGRnOodUT0TLUxpBR9b7c4LS7-shTsHow9B2NrMHYPxu7Or56cy2nx3Z-N3zFUgJ2BVKV18PGv0_91fQS3LpeZ</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Maia, Eduardo Habib Bechelane</creator><creator>Campos, Vinícius Alves</creator><creator>dos Reis Santos, Bianca</creator><creator>Costa, Marina Santos</creator><creator>Lima, Iann Gabriel</creator><creator>Greco, Sandro J.</creator><creator>Ribeiro, Rosy I. M. A.</creator><creator>Munayer, Felipe M.</creator><creator>da Silva, Alisson Marques</creator><creator>Taranto, Alex Gutterres</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>2017</creationdate><title>Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets</title><author>Maia, Eduardo Habib Bechelane ; Campos, Vinícius Alves ; dos Reis Santos, Bianca ; Costa, Marina Santos ; Lima, Iann Gabriel ; Greco, Sandro J. ; Ribeiro, Rosy I. M. A. ; Munayer, Felipe M. ; da Silva, Alisson Marques ; Taranto, Alex Gutterres</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-926c45531f0439ba208439624684408f5579d836aaddde4823f9ab22845b24a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Assaying</topic><topic>Bioassays</topic><topic>Brazilian Symposium of Theoretical Chemistry (SBQT 2015)</topic><topic>Case studies</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Computer Appl. in Life Sciences</topic><topic>Computer Applications in Chemistry</topic><topic>Data banks</topic><topic>Malaria</topic><topic>Molecular docking</topic><topic>Molecular Medicine</topic><topic>Octopuses</topic><topic>Original Paper</topic><topic>Screening</topic><topic>Software</topic><topic>Theoretical and Computational Chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maia, Eduardo Habib Bechelane</creatorcontrib><creatorcontrib>Campos, Vinícius Alves</creatorcontrib><creatorcontrib>dos Reis Santos, Bianca</creatorcontrib><creatorcontrib>Costa, Marina Santos</creatorcontrib><creatorcontrib>Lima, Iann Gabriel</creatorcontrib><creatorcontrib>Greco, Sandro J.</creatorcontrib><creatorcontrib>Ribeiro, Rosy I. M. A.</creatorcontrib><creatorcontrib>Munayer, Felipe M.</creatorcontrib><creatorcontrib>da Silva, Alisson Marques</creatorcontrib><creatorcontrib>Taranto, Alex Gutterres</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of molecular modeling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maia, Eduardo Habib Bechelane</au><au>Campos, Vinícius Alves</au><au>dos Reis Santos, Bianca</au><au>Costa, Marina Santos</au><au>Lima, Iann Gabriel</au><au>Greco, Sandro J.</au><au>Ribeiro, Rosy I. M. A.</au><au>Munayer, Felipe M.</au><au>da Silva, Alisson Marques</au><au>Taranto, Alex Gutterres</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets</atitle><jtitle>Journal of molecular modeling</jtitle><stitle>J Mol Model</stitle><addtitle>J Mol Model</addtitle><date>2017</date><risdate>2017</risdate><volume>23</volume><issue>1</issue><spage>26</spage><epage>11</epage><pages>26-11</pages><artnum>26</artnum><issn>1610-2940</issn><eissn>0948-5023</eissn><abstract>Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molecular targets. After generating the ligands in a drawing package in the Protein Data Bank (PDB) format, Octopus can carry out geometry refinement using the semi-empirical method PM7 implemented in MOPAC2016. Docking simulations can be performed using AutoDock Vina and can utilize the Our Own Molecular Targets (OOMT) databank. Finally, the proposed software compiles the best binding energies into a standard table. Here, we describe two successful case studies that were verified by biological assay. In the first case study, the vHTS process was carried out for 22 (phenylamino)urea derivatives. The vHTS process identified a metalloprotease with the PDB code 1GKC as a molecular target for derivative LE&007. In a biological assay, compound LE&007 was found to inhibit 80% of the activity of this enzyme. In the second case study, compound Tx001 was submitted to the Octopus routine, and the results suggested that
Plasmodium falciparum
ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC
50
) of 8.2 μM against PfATP6. These successful examples illustrate the utility of this software for finding appropriate molecular targets for compounds. Hits can then be identified and optimized as new antineoplastic and antimalarial drugs. Finally, Octopus has a friendly Linux-based user interface, and is available at
www.drugdiscovery.com.br
.
Graphical Abstract
Octopus: A platform for inverse virtual screening (IVS) to search new molecular targets for drugs.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28064377</pmid><doi>10.1007/s00894-016-3184-9</doi><tpages>11</tpages></addata></record> |
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subjects | Assaying Bioassays Brazilian Symposium of Theoretical Chemistry (SBQT 2015) Case studies Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Computer Appl. in Life Sciences Computer Applications in Chemistry Data banks Malaria Molecular docking Molecular Medicine Octopuses Original Paper Screening Software Theoretical and Computational Chemistry |
title | Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets |
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