Estrogen and its types of estradiol and estriol are diverse and robust molecules which influence metabolism in health and disease conditions. A comprehensive literature review was conducted using defined selection criteria and a focused search strategy. The SwissTargetPrediction Tool was employed as the primary computational approach to predict and categorize receptor targets, grouping them into functional classes such as nuclear receptors, kinases, enzymes, and others. The binding receptors to these molecules observed in this study are categorized under electrochemical transporters, kinases, enzymes, Transferases, Lyases, Proteases, Nuclear receptors, Erasers, Cytochrome P450, secreted proteins, oxidoreductases, Family AG protein coupled receptors, hydrolases, other ion channels and cytosolic proteins. Few common binding receptors were observed indicating structural similarity and receiving and transducing signals through the same metabolic pathway. Our analysis reveals that estrogen and its derivatives exhibit variable binding efficiencies across different receptor classes, with several common targets indicating potential structural and functional similarities. The work also emphasizes how crucial computational techniques are for methodically finding new receptor interactions, providing a high-throughput and economical means of drug development. Estrogen and its derivatives' ability to alter cellular signaling pathways highlights its potential as therapeutic agents for a variety of metabolic and pathological illnesses, such as hormone-dependent malignancies, heart disease, and neurological disorders. The unprecedented data in the form of list of receptors broadens the scope of these hormones to be prominent players in various diseased conditions. Additionally, the discovery opens the door for tailored treatment approaches by offering important insights into receptor specificity. The positive aspect makes us look deeper into these targets and new drugs developed mediating the role in health and adverse health conditions of peri and post-menopausal women ultimately advancing patient care and enhancing the quality of life across diverse population.
Estrogen, estradiol, estrone, receptors, SwissTargetPrediction Tool
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