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Identification of Activated Cdc42-Associated Kinase Inhibitors as Potential Anticancer Agents Using Pharmacoinformatic Approaches.

Vikas KumarRaj KumarShraddha Paratenull DanishuddinGihwan LeeMoonhyuk KwonSeong-Hee JeongHyeon-Su RoKeun Woo LeeSeon-Won Kim
Published in: Biomolecules (2023)
Our results indicate that the three hit compounds displayed higher binding affinity toward ACK1 when compared with the known multi-kinase inhibitor dasatinib. The inter-molecular interactions of Hit1 and Hit3 reveal that compounds form desirable hydrogen bond interactions with gatekeeper T205, hinge region A208, and DFG motif D270. As a result, we anticipate that the proposed scaffolds might help in the design of promising selective ACK1 inhibitors.
Keyphrases
  • single cell
  • risk assessment
  • binding protein
  • dna methylation
  • bioinformatics analysis