Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
| Texto Completo: | https://www.arca.fiocruz.br/handle/icict/48153 |
Resumo: | Universidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil. |
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Moreira Filho, José T.Silva, Arthur C.Dantas, Rafael F.Gomes, Barbara F.Souza Neto, Lauro R.Brandão Neto, JoseOwens, Raymond J.Furnham, NicholasNeves, Bruno J.Silva Junior, Floriano P.Andrade, Carolina H.2021-07-12T17:24:16Z2021-07-12T17:24:16Z2021MOREIRA FILHO, José T. et al. Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence. Front. Immunol., v. 12, Article 642383, 29 p, May 2021.1664-3224https://www.arca.fiocruz.br/handle/icict/4815310.3389/fimmu.2021.642383engFrontiers MediaEsquistossomoseDescoberta de drogasInteligência artificialDescoberta de drogas baseada em fragmentosTriagem fenotípicaTriagem baseada em alvosSchistosomiasisDrug discoveryArtificial intelligenceFragment-based drug discoveryPhenotypic screeningTarget-based screeningSchistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligenceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil.Universidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Bioquímica Experimental e Computacional de Fármacos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Bioquímica Experimental e Computacional de Fármacos. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Bioquímica Experimental e Computacional de Fármacos. Rio de Janeiro, RJ, Brasil.Diamond Light Source Ltd.. Didcot, United Kingdom / Research Complex at Harwell, Didcot, United Kingdom.The Rosalind Franklin Institute, Harwell, United Kingdom / Division of Structural Biology, The Wellcome Centre for Human Genetic, University of Oxford, Oxford, United Kingdom.Department of Infection Biology, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine.London, United Kingdom.Universidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Bioquímica Experimental e Computacional de Fármacos. Rio de Janeiro, RJ, Brasil.Universidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil.Schistosomiasis is a parasitic disease caused by trematode worms of the genus Schistosoma and affects over 200 million people worldwide. The control and treatment of this neglected tropical disease is based on a single drug, praziquantel, which raises concerns about the development of drug resistance. This, and the lack of efficacy of praziquantel against juvenile worms, highlights the urgency for new antischistosomal therapies. In this review we focus on innovative approaches to the identification of antischistosomal drug candidates, including the use of automated assays, fragment based screening, computer-aided and artificial intelligence-based computational methods. We highlight the current developments that may contribute to optimizing research outputs and lead to more effective drugs for this highly prevalent disease, in a more cost-effective drug discovery endeavor.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/48153/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALRafaelDantas_FlorianoSJunior_IOC_2021.pdfRafaelDantas_FlorianoSJunior_IOC_2021.pdfapplication/pdf2396118https://www.arca.fiocruz.br/bitstream/icict/48153/2/RafaelDantas_FlorianoSJunior_IOC_2021.pdfa18fe99fe686c0f5d2d228942f5c40ddMD52TEXTRafaelDantas_FlorianoSJunior_IOC_2021.pdf.txtRafaelDantas_FlorianoSJunior_IOC_2021.pdf.txtExtracted 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| dc.title.pt_BR.fl_str_mv |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| title |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| spellingShingle |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence Moreira Filho, José T. Esquistossomose Descoberta de drogas Inteligência artificial Descoberta de drogas baseada em fragmentos Triagem fenotípica Triagem baseada em alvos Schistosomiasis Drug discovery Artificial intelligence Fragment-based drug discovery Phenotypic screening Target-based screening |
| title_short |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| title_full |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| title_fullStr |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| title_full_unstemmed |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| title_sort |
Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence |
| author |
Moreira Filho, José T. |
| author_facet |
Moreira Filho, José T. Silva, Arthur C. Dantas, Rafael F. Gomes, Barbara F. Souza Neto, Lauro R. Brandão Neto, Jose Owens, Raymond J. Furnham, Nicholas Neves, Bruno J. Silva Junior, Floriano P. Andrade, Carolina H. |
| author_role |
author |
| author2 |
Silva, Arthur C. Dantas, Rafael F. Gomes, Barbara F. Souza Neto, Lauro R. Brandão Neto, Jose Owens, Raymond J. Furnham, Nicholas Neves, Bruno J. Silva Junior, Floriano P. Andrade, Carolina H. |
| author2_role |
author author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Moreira Filho, José T. Silva, Arthur C. Dantas, Rafael F. Gomes, Barbara F. Souza Neto, Lauro R. Brandão Neto, Jose Owens, Raymond J. Furnham, Nicholas Neves, Bruno J. Silva Junior, Floriano P. Andrade, Carolina H. |
| dc.subject.other.pt_BR.fl_str_mv |
Esquistossomose Descoberta de drogas Inteligência artificial Descoberta de drogas baseada em fragmentos Triagem fenotípica Triagem baseada em alvos |
| topic |
Esquistossomose Descoberta de drogas Inteligência artificial Descoberta de drogas baseada em fragmentos Triagem fenotípica Triagem baseada em alvos Schistosomiasis Drug discovery Artificial intelligence Fragment-based drug discovery Phenotypic screening Target-based screening |
| dc.subject.en.pt_BR.fl_str_mv |
Schistosomiasis Drug discovery Artificial intelligence Fragment-based drug discovery Phenotypic screening Target-based screening |
| description |
Universidade Federal de Goiás. Faculdade de Farmácia. LabMol-Laboratório de Modelagem Molecular e Design de Drogas. Goiânia, GO, Brasil. |
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2021 |
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2021-07-12T17:24:16Z |
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2021-07-12T17:24:16Z |
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2021 |
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info:eu-repo/semantics/article |
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MOREIRA FILHO, José T. et al. Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence. Front. Immunol., v. 12, Article 642383, 29 p, May 2021. |
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https://www.arca.fiocruz.br/handle/icict/48153 |
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1664-3224 |
| dc.identifier.eissn.none.fl_str_mv |
10.3389/fimmu.2021.642383 |
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MOREIRA FILHO, José T. et al. Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence. Front. Immunol., v. 12, Article 642383, 29 p, May 2021. 1664-3224 10.3389/fimmu.2021.642383 |
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