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In silico simulations of STAT1 and STAT3 inhibitors predict SH2 domain cross-binding specificity.
- Source :
-
European journal of pharmacology [Eur J Pharmacol] 2013 Nov 15; Vol. 720 (1-3), pp. 38-48. Date of Electronic Publication: 2013 Nov 06. - Publication Year :
- 2013
-
Abstract
- Signal transducers and activators of transcription (STATs) comprise a family of transcription factors that are structurally related and which participate in signaling pathways activated by cytokines, growth factors and pathogens. Activation of STAT proteins is mediated by the highly conserved Src homology 2 (SH2) domain, which interacts with phosphotyrosine motifs for specific contacts between STATs and receptors and for STAT dimerization. By generating new models for human (h)STAT1, hSTAT2 and hSTAT3 we applied comparative in silico docking to determine SH2-binding specificity of the STAT3 inhibitor stattic, and of fludarabine (STAT1 inhibitor). Thus, we provide evidence that by primarily targeting the highly conserved phosphotyrosine (pY+0) SH2 binding pocket stattic is not a specific hSTAT3 inhibitor, but is equally effective towards hSTAT1 and hSTAT2. This was confirmed in Human Micro-vascular Endothelial Cells (HMECs) in vitro, in which stattic inhibited interferon-α-induced phosphorylation of all three STATs. Likewise, fludarabine inhibits both hSTAT1 and hSTAT3 phosphorylation, but not hSTAT2, by competing with the highly conserved pY+0 and pY-X binding sites, which are less well-preserved in hSTAT2. Moreover we observed that in HMECs in vitro fludarabine inhibits cytokine and lipopolysaccharide-induced phosphorylation of hSTAT1 and hSTAT3 but does not affect hSTAT2. Finally, multiple sequence alignment of STAT-SH2 domain sequences confirmed high conservation between hSTAT1 and hSTAT3, but not hSTAT2, with respect to stattic and fludarabine binding sites. Together our data offer a molecular basis that explains STAT cross-binding specificity of stattic and fludarabine, thereby questioning the present selection strategies of SH2 domain-based competitive small inhibitors.<br /> (© 2013 Elsevier B.V. All rights reserved.)
- Subjects :
- Amino Acid Sequence
Binding Sites
Cells, Cultured
Computer Simulation
Cyclic S-Oxides pharmacology
Endothelial Cells drug effects
Endothelial Cells metabolism
Humans
Interferon-alpha pharmacology
Interferon-gamma pharmacology
Molecular Docking Simulation
Molecular Sequence Data
Phosphorylation drug effects
Protein Binding
STAT1 Transcription Factor antagonists & inhibitors
STAT2 Transcription Factor antagonists & inhibitors
STAT2 Transcription Factor metabolism
STAT3 Transcription Factor antagonists & inhibitors
Sequence Alignment
Vidarabine analogs & derivatives
Vidarabine pharmacology
src Homology Domains
STAT1 Transcription Factor metabolism
STAT3 Transcription Factor metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0712
- Volume :
- 720
- Issue :
- 1-3
- Database :
- MEDLINE
- Journal :
- European journal of pharmacology
- Publication Type :
- Academic Journal
- Accession number :
- 24211327
- Full Text :
- https://doi.org/10.1016/j.ejphar.2013.10.055