{"99671":{"#nid":"99671","#data":{"type":"news","title":"UPI Reports on School of Biology Researchers","body":[{"value":"\u003Cp\u003EComputer predicts anti-cancer molecules\u003Cbr \/\u003E\n\u003Ca href=\u0022http:\/\/www.upi.com\/Science_News\/2008\/06\/17\/Computer_predicts_anti-cancer_molecules\/UPI-73111213714581\u0022 \/\u003ELink to UPI Article\u003C\/a\u003E\n\u003C\/p\u003E\n\u003Cp\u003EU.S. scientists have created a computerized method of analyzing cellular activity that correctly predicts the anti-tumor activity of several molecules.\n\u003C\/p\u003E\n\u003Cp\u003EResearchers Jeffrey Skolnick and John McDonald led a Georgia Institute of Technology team in developing the tool, called CoMet, that studies the integrated machinery of the cell, predicting which components can have an effect on cancer.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022This opens up the possibility of novel therapeutics for cancer and develops our understanding of why such metabolites work,\u0022 said Skolnick.\n\u003C\/p\u003E\n\u003Cp\u003EHe said metabolites are small molecules that are naturally produced in cells. Enzymes, the biological catalysts that produce and consume the metabolites, are created according to a cell\u0027s genetic blueprints. Importantly, however, he said metabolites can also affect the expression of genes.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022By comparing the gene expression levels of cancer cells relative to normal cells and converting that information into the enzymes that produce metabolites, CoMet predicts metabolites that have lower concentrations in cancer relative to normal cells,\u0022 the scientists said, adding their findings prove that by adding such putatively depleted metabolites to cancer cells, they exhibit anti-cancer properties.\n\u003C\/p\u003E\n\u003Cp\u003EThe research that included Adrian Arakaki, Roman Mezencev, Nathan Bowen and Ying Huang appears in the open access journal Molecular Cancer. \u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Computer predicts anti-cancer molecules"}],"field_summary":[{"value":"ATLANTA, June 17 (UPI) -- U.S. scientists have created a computerized method of analyzing cellular activity that correctly predicts the anti-tumor activity of several molecules.","format":"limited_html"}],"field_summary_sentence":[{"value":"Computer predicts anti-cancer molecules"}],"uid":"27245","created_gmt":"2008-06-18 00:00:00","changed_gmt":"2022-05-26 17:09:36","author":"Troy Hilley","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2008-06-18T00:00:00-04:00","iso_date":"2008-06-18T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"99681":{"id":"99681","type":"image","title":"Georgia Tech","body":null,"created":"1449178150","gmt_created":"2015-12-03 21:29:10","changed":"1475894715","gmt_changed":"2016-10-08 02:45:15"}},"media_ids":["99681"],"related_links":[{"url":"http:\/\/www.mcdonaldlab.biology.gatech.edu\/","title":"John McDonald"},{"url":"http:\/\/cssb.biology.gatech.edu\/skolnick\/","title":"Skolnick Research Group"},{"url":"http:\/\/www.biology.gatech.edu\/","title":"School of Biology"}],"groups":[{"id":"1275","name":"School of Biological Sciences"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ESchool of Biology - Biology\u003C\/p\u003E","format":"limited_html"}],"email":["admin@biology.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}