<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Schapira M</submitter><funding>NIDDK NIH HHS</funding><pagination>7354-9</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC165879</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>100(12)</volume><pubmed_abstract>Treatment of hyperthyroidism, a common clinical condition that can have serious manifestations in the elderly, has remained essentially unchanged for >30 years. Directly antagonizing the effect of the thyroid hormone at the receptor level may be a significant improvement for the treatment of hyperthyroid patients. We built a computer model of the thyroid hormone receptor (TR) ligand-binding domain in its predicted antagonist-bound conformation and used a virtual screening algorithm to select 100 TR antagonist candidates out of a library of >250,000 compounds. We were able to obtain 75 of the compounds selected in silico and studied their ability to act as antagonists by using cultured cells that express TR. Fourteen of these compounds were found to antagonize the effect of T3 on TR with IC</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Discovery of diverse thyroid hormone receptor antagonists by high-throughput docking.</pubmed_title><pmcid>PMC165879</pmcid><funding_grant_id>R42 DK059041</funding_grant_id><funding_grant_id>DK16636</funding_grant_id><funding_grant_id>R01 DK016636</funding_grant_id><funding_grant_id>R41 DK059041</funding_grant_id><funding_grant_id>DK59041</funding_grant_id><funding_grant_id>R56 DK016636</funding_grant_id><pubmed_authors>Raaka BM</pubmed_authors><pubmed_authors>Das S</pubmed_authors><pubmed_authors>Schapira M</pubmed_authors><pubmed_authors>Fan L</pubmed_authors><pubmed_authors>Abagyan R</pubmed_authors><pubmed_authors>Wilson SR</pubmed_authors><pubmed_authors>Samuels HH</pubmed_authors><pubmed_authors>Totrov M</pubmed_authors><pubmed_authors>Zhou Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Discovery of diverse thyroid hormone receptor antagonists by high-throughput docking.</name><description>Treatment of hyperthyroidism, a common clinical condition that can have serious manifestations in the elderly, has remained essentially unchanged for >30 years. Directly antagonizing the effect of the thyroid hormone at the receptor level may be a significant improvement for the treatment of hyperthyroid patients. We built a computer model of the thyroid hormone receptor (TR) ligand-binding domain in its predicted antagonist-bound conformation and used a virtual screening algorithm to select 100 TR antagonist candidates out of a library of >250,000 compounds. We were able to obtain 75 of the compounds selected in silico and studied their ability to act as antagonists by using cultured cells that express TR. Fourteen of these compounds were found to antagonize the effect of T3 on TR with IC</description><dates><release>2003-01-01T00:00:00Z</release><publication>2003 Jun</publication><modification>2026-03-16T16:41:58.152Z</modification><creation>2025-05-31T22:56:47.296Z</creation></dates><accession>S-EPMC165879</accession><cross_references><pubmed>12777627</pubmed><doi>10.1073/pnas.1131854100</doi></cross_references></HashMap>