{"id":9641,"date":"2022-06-08T11:05:48","date_gmt":"2022-06-08T10:05:48","guid":{"rendered":"https:\/\/www.x4lifesciences.com\/2022\/06\/08\/next-generation-techniques-used-for-drug-design\/"},"modified":"2022-07-12T09:50:47","modified_gmt":"2022-07-12T08:50:47","slug":"next-generation-techniques-used-for-drug-design","status":"publish","type":"post","link":"https:\/\/www.x4lifesciences.com\/de\/2022\/06\/08\/next-generation-techniques-used-for-drug-design\/","title":{"rendered":"Next generation techniques used for drug design"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><h6><strong>Changes in the Market<\/strong><\/h6>\n<p>Pharmaceutical companies with a large percentage of the market-share have historically been much further ahead than smaller competitors. This is down to their larger budget and significantly bigger Research and Development (R&amp;D) capabilities. However, in an interview with\u00a0<a href=\"https:\/\/pharmaphorum.com\/views-analysis-digital\/reimagining-commercialisation-with-ai\/\">pharmaphorum.com<\/a>, Indegene\u2019s Vice President Guarav Kapoor highlights how smaller companies can capitalise on their competitor\u2019s growing \u2018\u2019unsustainable\u2019\u2019 business practices.<\/p>\n<blockquote>\n<h6>\u2018\u2018[\u2026] based on the pressures we\u2019ve seen from a pricing point of view [\u2026] we think that big pharma will have to reinvent itself. [\u2026] the cost of sales is extremely high, between 20% and 30% in the traditional rep-based model.\u2019\u2019<\/h6>\n<\/blockquote>\n<p>This old-fashioned sales model needs to be replaced with an artificial intelligent (AI) lead platform says Kapoor, in an attempt for new biotech companies to \u2018leapfrog\u2019 the competition and secure their market-share. Indegene have created a platform that uses an \u2018omnichannel ecosystem\u2019, which is a single platform that can provide the best option for purchase. It uses \u2018\u2019advanced analytics for customer segmentation, targeting and then building sequencing, and predictive analytics to drive certain cohorts for prescription\u2019\u2019 continues Kapoor.<\/p>\n<p>Using such a platform, and varying commercial strategy can be difficult for big pharma to endorse. Companies which have functioned in a certain way for decades are less likely to take the risk. Indegene are instead finding more traction with smaller companies which are eager to experiment. They can\u2019t compete with big pharma\u2019s significant cash supply for product launches so Kapoor informs that \u2018\u2018stretching their dollars is vital\u2019\u2019 for success.[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=&#8220;stretch_row&#8220; el_class=&#8220;light&#8220;][vc_column][vc_column_text]<\/p>\n<h6><strong>Technology shaping the future of drug design<\/strong><\/h6>\n<p><a href=\"https:\/\/pharmaphorum.com\/news\/insilico-claims-major-victory-as-ai-drastically-cuts-drug-development-time\/\">Insilico<\/a>\u00a0medicine in 2016 started using AI to synthesise and create new drug candidates. The process utilised Generative Adversarial Networks (GAN) and Reinforcement Learning to create novel molecules. Since then, Insilico have spent two years developing the techniques for creating drugs.<\/p>\n<p>\u2018\u2018These efforts have been used to design a novel DR1 kinase inhibitor from scratch in 21 days, and pre-clinically validate in 25 days.\u2019\u2019 The total of 45 days to design a drug candidate is on average 15 times faster than even the biggest pharmaceutical companies.<\/p>\n<p>This has revolutionised the pharmaceutical industry, with the \u2018AphaGo Movement\u2019 being endorsed by similar companies such as UK-based BenevolentAI, Exscientia, and US-based Google DeepMind and Berg using similar GAN techniques for R&amp;D.<\/p>\n<p>Insilico\u2019s CEO Alex Zhavoronkov highlighted the benefits of this, saying \u2018\u2018The drug discovery process consists of many phases and often takes decades [\u2026] our AI can be used in all phases and in some cases leads to superhuman results\u2019\u2019.<\/p>\n<p>The\u00a0<a href=\"https:\/\/pharmaphorum.com\/news\/nhs-to-develop-ai-lab-with-250m-funding\/\">NHS<\/a>\u00a0has recently announced its plans to fund a similar programme by injecting \u00a3250 million to capitalise on an AI lead lab, and to enhance research and care for the future. \u2018\u2018The lab will work on ways to use AI to improve the detection of diseases and automate admin tasks to free up staff to care for patients, amongst other things.\u2019\u2019[\/vc_column_text][\/vc_column][\/vc_row][vc_row full_width=&#8220;stretch_row&#8220; el_class=&#8220;dark&#8220;][vc_column][vc_column_text]<\/p>\n<p style=\"padding-top: 10px\">\n<h6><strong>Future skills<\/strong><\/h6>\n<\/p>\n<p>Technological advances in the pharmaceutical industry, in addition to the AlphaGo Movement has to be at the forefront of new training according to a UK\u00a0<a href=\"https:\/\/pharmaphorum.com\/news\/nhs-should-invest-in-digital-ai-and-robotics-training\/\">Topol Review<\/a>, which recommends that a number of clinicians need to be trained, or re-trained according to the new needs of the industry. The report cites that 90% of clinicians utilise some form of digital skill \u2013 with varying aspects being currently under no training regime.<\/p>\n<p>If you\u2019re a professional looking for a new opportunity in life sciences or have any questions about the market, then please don\u2019t hesitate to get in touch by emailing\u00a0<a href=\"mailto:info@x4communications.co.uk\">info@x4lifesciences.co.uk<\/a>\u00a0or visiting our\u00a0<a href=\"https:\/\/www.x4lifesciences.co.uk\/jobs\/\">jobs page<\/a>.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Changes in the Market Pharmaceutical companies with a large percentage of the market-share have historically been much further ahead than smaller competitors. This is down&#8230;<\/p>\n","protected":false},"author":1,"featured_media":9818,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[239,320],"tags":[],"class_list":["post-9641","post","type-post","status-publish","format-standard","hentry","category-insights","category-thought-leadership"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Next generation techniques used for drug design - X4 Life Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.x4lifesciences.com\/2022\/06\/08\/next-generation-techniques-used-for-drug-design\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Next generation techniques used for drug design\" \/>\n<meta property=\"og:description\" content=\"Changes in the Market Pharmaceutical companies with a large percentage of the market-share have historically been much further ahead than smaller competitors. 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