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Cell Morphological Profiling Enables High-Throughput Screening for PROteolysis TArgeting Chimera (PROTAC) Phenotypic Signature.
Trapotsi, Maria-Anna; Mouchet, Elizabeth; Williams, Guy; Monteverde, Tiziana; Juhani, Karolina; Turkki, Riku; Miljkovic, Filip; Martinsson, Anton; Mervin, Lewis; Pryde, Kenneth R; Müllers, Erik; Barrett, Ian; Engkvist, Ola; Bender, Andreas; Moreau, Kevin.
Afiliação
  • Trapotsi MA; Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
  • Mouchet E; Data Sciences & Quantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB2 0AA, U.K.
  • Williams G; High Throughput Screening, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Macclesfield SK10 4TF, U.K.
  • Monteverde T; High Throughput Screening, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Macclesfield SK10 4TF, U.K.
  • Juhani K; High Throughput Screening, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Macclesfield SK10 4TF, U.K.
  • Turkki R; High Throughput Screening, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Macclesfield SK10 4TF, U.K.
  • Miljkovic F; Data Sciences & Quantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg SE-43183, Sweden.
  • Martinsson A; Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences R&D, AstraZeneca, Gothenburg SE-43183, Sweden.
  • Mervin L; Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences R&D, AstraZeneca, Gothenburg SE-43183, Sweden.
  • Pryde KR; Molecular AI, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB2 0AA, U.K.
  • Müllers E; Oncology Safety, Clinical Pharmacology and Safety Sciences R&D, AstraZeneca, Cambridge CB2 0AA, U.K.
  • Barrett I; Bioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg SE-43183, Sweden.
  • Engkvist O; Data Sciences & Quantitative Biology, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB2 0AA, U.K.
  • Bender A; Molecular AI, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg SE-43183, Sweden.
  • Moreau K; Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
ACS Chem Biol ; 17(7): 1733-1744, 2022 07 15.
Article em En | MEDLINE | ID: mdl-35793809
ABSTRACT
PROteolysis TArgeting Chimeras (PROTACs) use the ubiquitin-proteasome system to degrade a protein of interest for therapeutic benefit. Advances made in targeted protein degradation technology have been remarkable, with several molecules having moved into clinical studies. However, robust routes to assess and better understand the safety risks of PROTACs need to be identified, which is an essential step toward delivering efficacious and safe compounds to patients. In this work, we used Cell Painting, an unbiased high-content imaging method, to identify phenotypic signatures of PROTACs. Chemical clustering and model prediction allowed the identification of a mitotoxicity signature that could not be expected by screening the individual PROTAC components. The data highlighted the benefit of unbiased phenotypic methods for identifying toxic signatures and the potential to impact drug design.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ubiquitina-Proteína Ligases / Ensaios de Triagem em Larga Escala / Proteólise Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ubiquitina-Proteína Ligases / Ensaios de Triagem em Larga Escala / Proteólise Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article