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dc.contributor.author
Fernandez, Ariel  
dc.date.available
2021-02-05T19:29:50Z  
dc.date.issued
2019-05-21  
dc.identifier.citation
Fernandez, Ariel; Deep Learning to Therapeutically Target Unreported Complexes; Elsevier Science London; Trends In Pharmacological Sciences; 40; 8; 21-5-2019; 551-554  
dc.identifier.issn
0165-6147  
dc.identifier.uri
http://hdl.handle.net/11336/125003  
dc.description.abstract
The disruption of large protein–protein (PP) interfaces remains a challenge in targeted therapy. Designing drugs that compete with binding partners is daunting, especially when the structure of the protein complex is unknown. To address the problem we propose a deep protein databank (PDB) learning platform to discover targetable epitopes for complex-disruptive leads.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science London  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
DEEP LEARNING  
dc.subject
PROTEIN COMPLEX  
dc.subject
PROTEIN COMPLEX DISRUPTION  
dc.subject
PROTEIN DATA BANK  
dc.subject
TARGETED MOLECULAR THERAPY  
dc.subject
UNKNOWN PROTEIN STRUCTURE  
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
Deep Learning to Therapeutically Target Unreported Complexes  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-12-18T19:33:48Z  
dc.journal.volume
40  
dc.journal.number
8  
dc.journal.pagination
551-554  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Fernandez, Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina. AF Innovation Pharma Consultancy GmbH; Argentina. Collegium Basilea; Suiza  
dc.journal.title
Trends In Pharmacological Sciences  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.tips.2019.04.009  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.cell.com/trends/pharmacological-sciences/fulltext/S0165-6147(19)30086-0?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0165614719300860%3Fshowall%3Dtrue  

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