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Structure-based design of potent linear peptide inhibitors of the YAP-TEAD protein-protein interaction derived from the YAP omega-loop sequence.
Furet, Pascal; Salem, Bahaa; Mesrouze, Yannick; Schmelzle, Tobias; Lewis, Ian; Kallen, Joerg; Chène, Patrick.
Affiliation
  • Furet P; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland. Electronic address: pascal.furet@novartis.com.
  • Salem B; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
  • Mesrouze Y; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
  • Schmelzle T; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
  • Lewis I; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
  • Kallen J; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
  • Chène P; Novartis Institutes for BioMedical Research, CH-4002 Basel, Switzerland.
Bioorg Med Chem Lett ; 29(16): 2316-2319, 2019 08 15.
Article in En | MEDLINE | ID: mdl-31235263
ABSTRACT
The YAP-TEAD protein-protein interaction is a potential therapeutic target to treat cancers in which the Hippo signaling pathway is deregulated. However, the extremely large surface of interaction between the two proteins presents a formidable challenge for a small molecule interaction disrupter approach. We have accomplished progress towards showing the feasibility of this approach by the identification of a 15-mer peptide able to potently (nanomolar range) disrupt the YAP-TEAD interaction by targeting only one of the two important sites of interaction. This peptide, incorporating non-natural amino acids selected by structure-based design, is derived from the Ω-loop sequence 85-99 of YAP.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Transcription Factors / Drug Design / Adaptor Proteins, Signal Transducing / Small Molecule Libraries Type of study: Prognostic_studies Limits: Humans Language: En Journal: Bioorg Med Chem Lett Journal subject: BIOQUIMICA / QUIMICA Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Transcription Factors / Drug Design / Adaptor Proteins, Signal Transducing / Small Molecule Libraries Type of study: Prognostic_studies Limits: Humans Language: En Journal: Bioorg Med Chem Lett Journal subject: BIOQUIMICA / QUIMICA Year: 2019 Document type: Article