{"id":650,"date":"2015-05-11T18:57:20","date_gmt":"2015-05-11T18:57:20","guid":{"rendered":"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=650"},"modified":"2020-11-06T00:29:45","modified_gmt":"2020-11-06T00:29:45","slug":"projects","status":"publish","type":"page","link":"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=650","title":{"rendered":"Projects"},"content":{"rendered":"<div class=\"vc_row wpb_row vc_row-fluid\"  >\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><b><a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=671\">Neuroendocrine feedback system modeling &amp; simulation<\/a><\/b><\/h5>\n<p>Integrated modeling and experimental laboratory research in neuroendocrinology has been a major focus of the Biocybernetics laboratory since 1972. Neuroendocrine physiology and hormone metabolism in the rat, sheep and several fishes have been studied experimentally in our labs \u2013 guided by simulation models \u2013 rats in the UCLA lab proper, sheep in Harbor General Hospital neuroendocrine laboratories, and fishes in laboratories of the Hawaii Institute of Marine biology and the University of Manitoba. <a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=671\">Read More<\/a><\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4><strong><a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=686\">Structural identifiability algorithms &amp; software<\/a> <\/strong><\/h4>\n<p>The Biocybernetics laboratory has been making seminal contributions to the theory and practice of structural identifiability analysis since the early 1980s. Structural identifiability (SI) is the primary question, usually understood as knowing which unknown biomodel parameters are \u2013 and which are not \u2013 quantifiable in principle from particular input-output (I-O) biodata. Importantly, parameter identifiability problems can plague modelers during model quantification, even for relatively simple models.&nbsp;<a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=686\">Read More<\/a><\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4><a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=695\"><strong>Tumor-supressor p53 signaling modeling <\/strong><\/a><\/h4>\n<p>The p53 signaling system is one of the most important and studied control systems in cellular biology and its detailed structure is still very much in discovery mode. It\u2019s known to be dysfunctional in most forms of cancer and this has been a major factor motivating numerous modeling efforts \u2013 generating a variety of different candidate structures as alternative mechanistic hypotheses \u2013 all directed toward better understanding of this system.&nbsp;<a style=\"line-height: 1.5;\" href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=695\">Read More<\/a><\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n<\/div><div class=\"vc_row-full-width\"><\/div>\t<div class=\"vc_row wpb_row vc_row-fluid\"  >\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><strong>THYROSIM Model Enhancements <\/strong><\/h5>\n<p>The range of applicability of the model upon which THYROSIM is based is currently hypothyroid to mildly hyperthyroid. Students in the lab are currently working on extending this range to hyperthyroid and thyrotoxic conditions.&nbsp; The subsystem models of the nonlinear enzymatic pathways responsible for converting thyroxine to triiodothyronine in tissues have been updated and are being validated. The simulator app will be updated with this new model next year.&nbsp; Another version: THYROSIM-D, for individualized patient dosing, is also under development, as is a model scaled for adolescents, called THYROSIM Jr.<\/p>\n<p>The current web version of THYROSIM is also available as an iPhone app and an Android app. <\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4><strong><a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=966\">Alternative Model distinguishability algorithms &amp; the software app DISTING<\/a><\/strong><\/h4>\n<p>The model indistinguishability problem addresses whether there are other structured models within the same class (e.g. compartmental models), but with different structures, that fit given input-output (I-O) data equally well.&nbsp; Establishing model uniqueness \u2013 or model disambiguation \u2013 is a major multifaceted problem in quantitative science, with methods and solutions available only for&nbsp; very limited classes of structured models. <a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=966&amp;preview=true\">Read More&nbsp; <\/a><\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n\n\t<div class=\"vc_col-sm-4 wpb_column vc_column_container \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h5><a href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=700\"><strong>Manganism PBPK Modeling <\/strong><\/a><\/h5>\n<p>In humans, inhaled manganese (Mn) can initiate neurodegeneration in the striatum \u2013 a tiny midbrain structure \u2013 and produce <strong>manganism<\/strong>, a disorder phenotypically mimetic of Parkinson\u2019s disease. It was not completely clear how Mn has this effect, nor how much inhaled Mn gets to the striatum and by what routes. We developed a hybrid physiologically-based-multicompartmental model for manganese distribution dynamics and quantified it from published rat data to address this problem, as illustrated at the URL above and in Pamela Douglas\u2019s publication cited above. <a style=\"line-height: 1.5;\" href=\"http:\/\/biocyb0.cs.ucla.edu\/wp\/?page_id=700\">Read More<\/a><\/p>\n\n\t\t<\/div> \n\t<\/div> \n\t\t<\/div> \n\t<\/div> \n<\/div><div class=\"vc_row-full-width\"><\/div>\n","protected":false},"excerpt":{"rendered":"Neuroendocrine feedback system modeling &amp; simulation Integrated modeling and experimental laboratory research in neuroendocrinology has been a major focus of the Biocybernetics laboratory since 1972. Neuroendocrine physiology and hormone metabolism in the rat, sheep and several fishes have been studied experimentally in our labs \u2013 guided by simulation models \u2013 rats in the UCLA lab","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"template-full.php","meta":{"footnotes":""},"_links":{"self":[{"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/pages\/650"}],"collection":[{"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=650"}],"version-history":[{"count":29,"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/pages\/650\/revisions"}],"predecessor-version":[{"id":1047,"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=\/wp\/v2\/pages\/650\/revisions\/1047"}],"wp:attachment":[{"href":"http:\/\/biocyb0.cs.ucla.edu\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}