{"id":12505,"date":"2017-04-30T11:02:13","date_gmt":"2017-04-30T11:02:13","guid":{"rendered":"https:\/\/consulting.vamtam.com\/?page_id=12505"},"modified":"2021-10-02T21:00:40","modified_gmt":"2021-10-02T21:00:40","slug":"integration-networks","status":"publish","type":"page","link":"https:\/\/ia4bio.com\/index.php\/integration-networks\/","title":{"rendered":"Integration Networks"},"content":{"rendered":"<div class=\"vgblk-rw-wrapper limit-wrapper\">\n<h2>\n\tIntegration of biological networks\n\t<\/h2>\n\t<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41-1024x474.png\" sizes=\"auto, (max-width: 847px) 100vw, 847px\" srcset=\"https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41-1024x474.png 1024w, https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41-300x139.png 300w, https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41-768x356.png 768w, https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41-1536x711.png 1536w, https:\/\/scandibio.com\/wp-content\/uploads\/2020\/09\/Screen-Shot-2020-09-25-at-21.40.41.png 1926w\" alt=\"\" width=\"847\" height=\"392\">Individual biological networks, including metabolic, regulatory , signalling and protein-protein interaction networks, have been used in the analysis of omics data and to reveal the underlying molecular mechanisms of diseases to discover novel biomarkers and drug targets. High- quality omics data, including transcriptomics, proteomics, metabolomics and fluxomics, enable the generation of high- quality metabolic, signalling and protein-protein interaction networks. As shown in the figure, the effects of transcription factors and&nbsp;proteins on other proteins can be predicted by integration of different biological networks, and the level metabolites&nbsp;can be measured as a metabolic fingerprint in different clinical conditions. For example, gene 1 (G1) is transcribed to transcript 1 (T1), which is translated to protein 1 (P1); P1 then acts on metabolite 1 (M1) in reaction 1 (R1) to generate metabolite 2 (M2).<\/p>\n<\/div><!-- .vgblk-rw-wrapper -->","protected":false},"excerpt":{"rendered":"<p>Integration of biological networks Individual biological networks, including metabolic, regulatory , signalling and protein-protein interaction networks, have been used in the analysis of omics data and to reveal the underlying molecular mechanisms of diseases to discover novel biomarkers and drug targets. High- quality omics data, including transcriptomics, proteomics, metabolomics and fluxomics, enable the generation of&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-12505","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/pages\/12505","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/comments?post=12505"}],"version-history":[{"count":3,"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/pages\/12505\/revisions"}],"predecessor-version":[{"id":987792,"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/pages\/12505\/revisions\/987792"}],"wp:attachment":[{"href":"https:\/\/ia4bio.com\/index.php\/wp-json\/wp\/v2\/media?parent=12505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}