Literature DB >> 16515479

Estrogen receptors: molecular interactions, virtual screening and future prospects.

Andrew J S Knox1, Mary J Meegan, David G Lloyd.   

Abstract

Identification of the Estrogen Receptor (ER) as a key mediator of the proliferation of breast cancer, and its involvement in pathways leading to osteoporosis and coronary heart disease, has resulted in a surge to discover and design compounds with the ability to modulate its actions (SERMs). Concurrently, a dramatic increase in the number of crystal structures of the ER has led to a more in depth understanding of the governing mechanisms involved in ER modulation. Entwining computational techniques with the availability of 3D structural data, has allowed not only the rational design of potent inhibitors of the ER, but also its incorporation in Virtual Screening (VS) in the search for novel chemotypes that can modulate the ER. An important initial step in the VS process is to filter towards molecules that occupy similar chemical space to a set of known actives prior to docking. We illustrate through Principal Component Analysis (PCA) of 145 descriptors the region of chemical space antiestrogens occupy compared with 'drug-like' space. We also review all available studies involving validation of several docking algorithms utilizing the ER, ultimately focusing on analysis of Enrichment (E) rates and False Positive (FP) rates to illustrate the successes attributed to each docking algorithm. Finally, we relate the recent discovery of non-genomic mechanisms of the ER and subsequently present a model involving a recently identified alternative, second binding-pocket of the ER in our laboratory through cavity analysis that suggests how the same receptor can invoke these, 'classical' and rapid responses concurrently.

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Year:  2006        PMID: 16515479     DOI: 10.2174/156802606776173438

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  3 in total

Review 1.  The ins and outs of GPR30: a transmembrane estrogen receptor.

Authors:  Eric R Prossnitz; Tudor I Oprea; Larry A Sklar; Jeffrey B Arterburn
Journal:  J Steroid Biochem Mol Biol       Date:  2008-03-06       Impact factor: 4.292

Review 2.  Understanding nuclear receptors using computational methods.

Authors:  Ni Ai; Matthew D Krasowski; William J Welsh; Sean Ekins
Journal:  Drug Discov Today       Date:  2009-03-11       Impact factor: 7.851

Review 3.  Rational identification of enoxacin as a novel V-ATPase-directed osteoclast inhibitor.

Authors:  Edgardo J Toro; David A Ostrov; Thomas J Wronski; L Shannon Holliday
Journal:  Curr Protein Pept Sci       Date:  2012-03       Impact factor: 3.272

  3 in total

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