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Novel inhibitors induce large conformational changes of GAB1 pleckstrin homology domain and kill breast cancer cells.

Abstract
The Grb2-associated binding protein 1 (GAB1) integrates signals from different signaling pathways and is over-expressed in many cancers, therefore representing a new therapeutic target. In the present study, we aim to target the pleckstrin homology (PH) domain of GAB1 for cancer treatment. Using homology models we derived, high-throughput virtual screening of five million compounds resulted in five hits which exhibited strong binding affinities to GAB1 PH domain. Our prediction of ligand binding affinities is also in agreement with the experimental KD values. Furthermore, molecular dynamics studies showed that GAB1 PH domain underwent large conformational changes upon ligand binding. Moreover, these hits inhibited the phosphorylation of GAB1 and demonstrated potent, tumor-specific cytotoxicity against MDA-MB-231 and T47D breast cancer cell lines. This effort represents the discovery of first-in-class GAB1 PH domain inhibitors with potential for targeted breast cancer therapy and provides novel insights into structure-based approaches to targeting this protein.
AuthorsLu Chen, Lei Du-Cuny, Sylvestor Moses, Sabrina Dumas, Zuohe Song, Abdol Hossein Rezaeian, Hui-Kuan Lin, Emmanuelle J Meuillet, Shuxing Zhang
JournalPLoS computational biology (PLoS Comput Biol) Vol. 11 Issue 1 Pg. e1004021 (Jan 2015) ISSN: 1553-7358 [Electronic] United States
PMID25569504 (Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
Chemical References
  • Adaptor Proteins, Signal Transducing
  • Antineoplastic Agents
  • Blood Proteins
  • GAB1 protein, human
  • Phosphoproteins
  • platelet protein P47
Topics
  • Adaptor Proteins, Signal Transducing (antagonists & inhibitors, chemistry, genetics, metabolism)
  • Amino Acid Sequence
  • Antineoplastic Agents (chemistry, pharmacology)
  • Blood Proteins (antagonists & inhibitors, chemistry)
  • Breast Neoplasms (metabolism)
  • Cell Line, Tumor
  • Cell Proliferation (drug effects)
  • Cell Survival (drug effects)
  • Drug Discovery
  • Female
  • Humans
  • Molecular Dynamics Simulation
  • Molecular Sequence Data
  • Phosphoproteins (antagonists & inhibitors, chemistry)
  • Protein Binding
  • Sequence Alignment
  • Thermodynamics

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