Literature DB >> 26567566

Competitive Agonists and Antagonists of Steroid Nuclear Receptors: Evolution of the Concept or Its Reversal.

O V Smirnova1.   

Abstract

The mechanisms displaying pure and mixed steroid agonist/antagonist activity as well as principles underlying in vivo action of selective steroid receptor modulators dependent on tissue or cell type including interaction with various types of nuclear receptors are analyzed in this work. Mechanisms of in vitro action for mixed agonist/antagonist steroids are discussed depending on: specific features of their interaction with receptor hormone-binding pocket; steroid-dependent allosteric modulation of interaction between hormone-receptor complex and hormone response DNA elements; features of interacting hormone-receptor complex with protein transcriptional coregulators; level and tissue-specific composition of transcriptional coregulators. A novel understanding regarding context-selective modulators replacing the concept of steroid agonists and antagonists is discussed.

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Year:  2015        PMID: 26567566     DOI: 10.1134/S000629791510003X

Source DB:  PubMed          Journal:  Biochemistry (Mosc)        ISSN: 0006-2979            Impact factor:   2.487


  3 in total

1.  Interaction Between MUC1 and STAT1 Drives IFITM1 Overexpression in Aromatase Inhibitor-Resistant Breast Cancer Cells and Mediates Estrogen-Induced Apoptosis.

Authors:  Taylor E Escher; Asona J Lui; Eric S Geanes; Katherine R Walter; Ossama Tawfik; Christy R Hagan; Joan Lewis-Wambi
Journal:  Mol Cancer Res       Date:  2019-01-17       Impact factor: 5.852

2.  Molecular Image-Based Prediction Models of Nuclear Receptor Agonists and Antagonists Using the DeepSnap-Deep Learning Approach with the Tox21 10K Library.

Authors:  Yasunari Matsuzaka; Yoshihiro Uesawa
Journal:  Molecules       Date:  2020-06-15       Impact factor: 4.411

Review 3.  A Review on Sex Steroid Hormone Estrogen Receptors in Mammals and Fish.

Authors:  Eric Amenyogbe; Gang Chen; Zhongliang Wang; Xiaoying Lu; Mingde Lin; Ai Ying Lin
Journal:  Int J Endocrinol       Date:  2020-02-07       Impact factor: 3.257

  3 in total

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