A Landscape of AI-discovered Molecules and Target Novelty Analysis

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insight </span> <div class="tooltip-text"> <div class="tooltip-close" onclick="this.parentElement.parentElement.classList.toggle('tooltip-show');"></div> <p><b>Disclaimer</b>: All opinions expressed by Contributors are their own and do not represent those of their employers, or BiopharmaTrend.com. <br> Contributors are fully responsible for assuring they own any required copyright for any content they submit to BiopharmaTrend.com. This website and its owners shall not be liable for neither information and content submitted for publication by Contributors, nor its accuracy.</p> </div> </div> <div> <span class="glyphicon glyphicon-calendar" title="Published on"></span> <time datetime="2024-04-21">April 21, 2024</time>    </em> </div> <div class="tags"> <b>Topics: </b> <a href="/topic/ai-digital/">AI & Digital</a>    </div> <div> <strong>Share: </strong>   <a target="_blank" rel="nofollow" href="https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/"> <img alt="Share in LinkedIn" src="/static/img/soc-in.7bc286fd757e.png" width="28" height="28"></a>  <a target="_blank" rel="nofollow" href="https://www.reddit.com/submit?url=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/"> <img alt="Share in Reddit" src="/static/img/soc-reddit.342e87a07115.png" width="28" height="28"></a>  <a target="_blank" rel="nofollow" href="https://twitter.com/intent/tweet?url=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/"> <img alt="Share in X" src="/static/img/soc-x.3c80e8291cba.png" width="28" height="28"></a>  <a target="_blank" rel="nofollow" href="https://news.ycombinator.com/submitlink?u=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/"> <img alt="Share in Hacker News" src="/static/img/soc-y.587f16a5f3f3.png" width="28" height="28"></a>  <a target="_blank" rel="nofollow" href="https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/&display=page"> <img alt="Share in Facebook" src="/static/img/soc-fb.3031a5a810f0.png" width="28" height="28" /></a>  <a target="_blank" rel="nofollow" href="mailto:?subject=Biopharmatrend.com&body=https%3A%2F%2Fwww.biopharmatrend.com/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/"> <img alt="Send by email" src="/static/img/soc-mail.41ce3608f438.png" width="28" height="28"></a> </div> </footer> <section> <p>We have recently launched a report, “<a href="https://www.biopharmatrend.com/ai-drug-discovery-pipeline/">It’s Been a Decade of AI in the Drug Discovery Race. What’s Next?</a>” where we gathered historical data about drug pipeline progression over the years for the select AI-driven drug discovery platforms.</p> <div style="overflow: hidden;"><p>Those included聽<a href="https://www.biopharmatrend.com/m/company/benevolentai/" target="_blank">BenevolentAI</a>,聽<a href="https://www.biopharmatrend.com/m/company/exscientia/" target="_blank">Exscientia</a>,聽<a href="https://www.biopharmatrend.com/m/company/insitro/" target="_blank">Insitro</a>,聽<a href="https://www.biopharmatrend.com/m/company/insilico-medicine/" target="_blank">Insilico Medicine</a>,聽<a href="https://www.biopharmatrend.com/m/company/recursion-pharmaceuticals/" target="_blank">Recursion Pharmaceuticals</a>,聽<a href="https://www.biopharmatrend.com/m/company/relay-therapeutics/" target="_blank">Relay Therapeutics</a>,聽<a href="https://www.biopharmatrend.com/m/company/schrodinger/" target="_blank">Schr枚dinger</a>,聽<a href="https://www.biopharmatrend.com/m/company/verge-genomics/" target="_blank">Verge Genomics</a>, and聽<a href="https://www.biopharmatrend.com/m/company/valo-health/" target="_blank">Valo Health</a>.聽</p><p style="text-align: center;"><a href="/files/uploads/2024/04/21/bpt_elipse_ai_pipelines.webp" target="_blank"><img alt="The landscape of AI-discovered Drug Candidates and Targets" src="/files/uploads/2024/04/21/bpt_elipse_ai_pipelines.webp"/></a></p><p>Now, we鈥檝e gone a step further and attempted to analyze novelties of targets that the above companies are pursuing for their leading drug programs. <strong>The excel file with all the data we now have is available for download below.聽</strong></p><p>Some of the targets were highly novel and even AI-discovered, like in the case of Insilico Medicine, Recursion Pharmaceuticals, Schrodinger and Verge Genomics.</p><p>In other cases, targets were moderately novel, or even very old and well-known.</p><p>This target novelty evaluation is an ongoing study, so we might be further adjusting the novelty evaluation methodology for the upcoming research paper.聽</p><p>Please, do not hesitate to send us any suggestions, or inputs via contact form or by commenting below.</p><p>File download (click on the image below):</p><div id="paywall">聽</div></div> <div class="access-premium text-center"> <h3>Continue reading</h3> <p><big>This content available exclusively for BPT Mebmers</big></p> <div><a href="/membership/?success_page=/post/789-a-landscape-of-ai-discovered-molecules-and-target-novelty-analysis/&utm_source=website&utm_medium=post&utm_campaign=post_789" class="btn btn-bpt-white"> BPT Membership </a></div> <div><button type="button" onclick="document.getElementById('login-popup').classList.toggle('hidden')" class="btn btn-link" style="color:white; 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A Landscape of AI-discovered Molecules and Target Novelty Analysis