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dc.contributor.author
Urán Landaburu, Héctor Lionel  
dc.contributor.author
Garnham, Mercedes Didier  
dc.contributor.author
Agüero, Fernan Gonzalo  
dc.date.available
2024-02-28T12:53:33Z  
dc.date.issued
2023-02  
dc.identifier.citation
Urán Landaburu, Héctor Lionel; Garnham, Mercedes Didier; Agüero, Fernan Gonzalo; Targeting trypanosomes: how chemogenomics and artificial intelligence can guide drug discovery; Journal of the Serbian Chemical Society; Biochemical Society Transactions; 51; 1; 2-2023; 195-206  
dc.identifier.issn
0300-5127  
dc.identifier.uri
http://hdl.handle.net/11336/228757  
dc.description.abstract
Trypanosomatids are protozoan parasites that cause human and animal neglected diseases. Despite global efforts, effective treatments are still much needed. Phenotypic screens have provided several chemical leads for drug discovery, but the mechanism of action for many of these chemicals is currently unknown. Recently, chemogenomic screens assessing the susceptibility or resistance of parasites carrying genome-wide modifications started to define the mechanism of action of drugs at large scale. In this review, we discuss how genomics is being used for drug discovery in trypanosomatids, how integration of chemical and genomics data from these and other organisms has guided prioritisations of candidate therapeutic targets and additional chemical starting points, and how these data can fuel the expansion of drug discovery pipelines into the era of artificial intelligence.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Journal of the Serbian Chemical Society  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Chagas  
dc.subject
Quimioinformática  
dc.subject
Bioinformática  
dc.subject
Trypanosoma cruzi  
dc.subject.classification
Ciencias de la Información y Bioinformática  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Targeting trypanosomes: how chemogenomics and artificial intelligence can guide drug discovery  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-02-28T10:24:41Z  
dc.journal.volume
51  
dc.journal.number
1  
dc.journal.pagination
195-206  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Urán Landaburu, Héctor Lionel. Universidad Nacional de San Martín; Argentina. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Biotecnológicas; Argentina  
dc.description.fil
Fil: Garnham, Mercedes Didier. Universidad Nacional de San Martín; Argentina. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Biotecnológicas; Argentina  
dc.description.fil
Fil: Agüero, Fernan Gonzalo. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Biotecnológicas; Argentina. Universidad Nacional de San Martín; Argentina  
dc.journal.title
Biochemical Society Transactions  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://portlandpress.com/biochemsoctrans/article/doi/10.1042/BST20220618/232416/Targeting-trypanosomes-how-chemogenomics-and  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1042/BST20220618