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In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

ABSTRACT: Early identification of adverse effect of preclinical and commercial drugs is crucial in developing highly efficient therapeutics, since unexpected adverse drug effects account for one-third of all drug failures in drug development. To correlate protein-drug interactions at the molecule level with their clinical outcomes at the organism level, we have developed an integrated approach to studying protein-ligand interactions on a structural proteome-wide scale by combining protein functional site similarity search, small molecule screening, and protein-ligand binding affinity profile analysis. By applying this methodology, we have elucidated a possible molecular mechanism for the previously observed, but molecularly uncharacterized, side effect of selective estrogen receptor modulators (SERMs). The side effect involves the inhibition of the Sacroplasmic Reticulum Ca2+ ion channel ATPase protein (SERCA) transmembrane domain. The prediction provides molecular insight into reducing the adverse effect of SERMs and is supported by clinical and in vitro observations. The strategy used in this case study is being applied to discover off-targets for other commercially available pharmaceuticals. The process can be included in a drug discovery pipeline in an effort to optimize drug leads and reduce unwanted side effects.

SUBMITTER: Xie L

PROVIDER: S-EPMC2098847 | biostudies-literature | 2007 Nov

REPOSITORIES: biostudies-literature

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In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

Xie Lei L Wang Jian J Bourne Philip E PE

PLoS computational biology 20070926 11

Early identification of adverse effect of preclinical and commercial drugs is crucial in developing highly efficient therapeutics, since unexpected adverse drug effects account for one-third of all drug failures in drug development. To correlate protein-drug interactions at the molecule level with their clinical outcomes at the organism level, we have developed an integrated approach to studying protein-ligand interactions on a structural proteome-wide scale by combining protein functional site ...[more]

PMID: 18052534

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Project description:The fallopian tube epithelium is one of the potential sources of high-grade serous ovarian cancer (HGSC). The use of estrogen only hormone replacement therapy increases ovarian cancer risk. Despite estrogenâ??s influence in OVCA, selective estrogen receptor modulators (SERMs) typically demonstrate only a 20% response rate. This low response could be due to a variety of factors including the loss of estrogen receptor signaling or the role of estrogen receptor signaling in different potential cell types of origin. The response of fallopian tube epithelium to SERMs is not known, and would be useful when determining therapeutic options for tumors that arise from this cell type, such as high-grade serous cancer. Using normal murine derived oviductal epithelial cells (mouse equivalent to the fallopian tube) estrogen receptor expression was confirmed and interaction with its ligand, estradiol, triggered mRNA and protein induction of progesterone receptor (PR). The SERMs 4-hydroxytamoxifen, raloxifene and desmethylarzoxifene, functioned as estrogen receptor antagonists in the oviductal cells. Cellular proliferation and migration assays suggested that estradiol does not significantly impact cellular migration and increased proliferation in CD1, but not in FVB derived cell lines. Further, using RNAseq, the oviduct specific transcriptional genes targets of estrogen and 4-hydroxytamoxifen signaling were determined and validated. The RNA-seq revealed enrichment in proliferation, anti-apoptosis, calcium signaling and steroid signaling processes. Finally, the ER and PR receptor status of a panel of HGSC cell lines was investigated highlighting the need for better models of estrogen responsive HGSC cell lines. Murine oviductal epithelial cells from the FVB background were hormone starved for 48 hours (with a media change after 24 hours), then treated in triplicate with solvent control (DMSO) (0.1%), 1 nM 17-betaestradiol or 100 nM 4-hydroxytamoxifen for 24 hours. Following treatment, RNA was was isolated, libraries were prepped and sequenced using the Illumina HiSeq 2500 platform.

Dataset Information

In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

Publications

In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

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