Human Progesterone Receptor Crosstalk with Cytoplasmic Signaling Molecules Through Direct SH3 Domain Interaction

2003 ◽  
pp. 85-91
Author(s):  
Viroj Boonyaratanakornkit ◽  
Dean P. Edwards
Keyword(s):  
Progesterone Receptor ◽  
Sh3 Domain ◽  
Signaling Molecules ◽  
Domain Interaction ◽  
Receptor Crosstalk ◽  
Human Progesterone Receptor ◽  
Cytoplasmic Signaling

scholarly journals HIV-1 Nef Selectively Activates Src Family Kinases Hck, Lyn, and c-Src through Direct SH3 Domain Interaction

2006 ◽  
Vol 281 (37) ◽  
pp. 27029-27038 ◽  
Author(s):  
Ronald P. Trible ◽  
Lori Emert-Sedlak ◽  
Thomas E. Smithgall
Keyword(s):  
Sh3 Domain ◽  
Src Family Kinases ◽  
Domain Interaction ◽  
Hiv 1

scholarly journals Hinge and Amino-Terminal Sequences Contribute to Solution Dimerization of Human Progesterone Receptor

1997 ◽  
Vol 11 (8) ◽  
pp. 1114-1128 ◽  
Author(s):  
Marc J. Tetel ◽  
Soryung Jung ◽  
Patricia Carbajo ◽  
Teri Ladtkow ◽  
Debra F. Skafar ◽  
...  
Keyword(s):  
Progesterone Receptor ◽  
Amino Terminal ◽  
Human Progesterone Receptor

Complete amino acid sequence of the human progesterone receptor deduced from cloned cDNA

1987 ◽  
Vol 143 (2) ◽  
pp. 740-748 ◽  
Author(s):  
Micheline Misrahi ◽  
Michel Atger ◽  
Luc d'Auriol ◽  
Hugues Loosfelt ◽  
Cécile Meriel ◽  
...  
Keyword(s):  
Amino Acid ◽  
Progesterone Receptor ◽  
Amino Acid Sequence ◽  
Complete Amino Acid Sequence ◽  
Cloned Cdna ◽  
Human Progesterone Receptor

scholarly journals Prediction of Progestin Affinity for the Human Progesterone Receptor Based on Corrected RBA Data

2018 ◽  
Vol 1 (4) ◽  
pp. e00080
Author(s):  
A.V. Mikurova ◽  
V.S. Skvortsov
Keyword(s):  
Progesterone Receptor ◽  
Prediction Equation ◽  
Binding Activity ◽  
Data Sets ◽  
Data Set ◽  
The Third ◽  
Relative Binding ◽  
Human Progesterone Receptor ◽  
Nuclear Progesterone Receptor

The modeling of complexes of 3 sets of steroid and nonsteroidal progestins with the ligand-binding domain of the nuclear progesterone receptor was performed. Molecular docking procedure, long-term simulation of molecular dynamics and subsequent analysis by MM-PBSA (MM-GBSA) were used to model the complexes. Using the characteristics obtained by the MM-PBSA method two data sets of steroid compounds obtained in different scientific groups a prediction equation for the value of relative binding activity (RBA) was constructed. The RBA value was adjusted so that in all samples the actual activity was compared with the progesterone activity. The third data set of nonsteroidal compounds was used as a test. The resulted equation showed that the prediction results could be applied to both steroid molecules and nonsteroidal progestins.

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