{"version":"1.0","provider_name":"Biomedical & Analytical Center","provider_url":"https:\/\/bac.chem.uoi.gr","author_name":"nikparis","author_url":"https:\/\/bac.chem.uoi.gr\/index.php\/author\/nikparis\/","title":"Projects - Biomedical & Analytical Center","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"eXccHSt2Hf\"><a href=\"https:\/\/bac.chem.uoi.gr\/index.php\/projects\/\">Projects<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/bac.chem.uoi.gr\/index.php\/projects\/embed\/#?secret=eXccHSt2Hf\" width=\"600\" height=\"338\" title=\"&#8220;Projects&#8221; &#8212; Biomedical &amp; Analytical Center\" data-secret=\"eXccHSt2Hf\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/bac.chem.uoi.gr\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/bac.chem.uoi.gr\/wp-content\/uploads\/Projects.jpg","thumbnail_width":940,"thumbnail_height":300,"description":"Selected project we participate(d) in: Project Description\u00a0 Partners The first public domain database for diabetes drugs. In silico prediction methods represent an efficient approach for the prediction of diabetes drugs, aiming to explain preclinical drug development and therefore enabling the reduction of associated time, costs and experiments. DIA-DB is a web application for the in silico prediction of diabetes drugs, which uses two different approaches: [&hellip;]"}