9 start-up companies around the world deserve attention: using AI technology for drug discovery
Artificial intelligence is undoubtedly one of the most popular technology topics in the world. As people make breakthroughs in big data, cloud computing, and deep learning in computers, the range of artificial intelligence applications is becoming wider and wider. In recent years, computing drug discovery has emerged as an emerging field in the world of artificial intelligence. This area uses artificial intelligence to analyze large amounts of data to understand the nature of drugs, thereby accelerating the process of drug development. Today, we send readers relevant topics to share the dynamics that have taken place in this changing industry. In this article, we will read nine leading startups around the world that use artificial intelligence for drug discovery. 1. BenevolentAI, London, UK BenevolentAI is a "unicorn" in the startup, has raised more than $100 million and is the largest AI startup in Europe, ranking the top five in the world. Today, with the rapid development of scientific research, a life science paper will be published every 30 seconds. In addition, there are a large number of patents, clinical trial results and other massive information scattered throughout the world. For drug developers, they don't have the time and energy to focus on all the new information. BenevolentAI's technology platform uses artificial intelligence technology to extract knowledge that promotes drug discovery from these distracting amounts of information and to propose new verifiable hypotheses that accelerate drug discovery. Since its inception in 2013, the company has developed 24 drug candidates, some of which have entered clinical phase IIb trials. 2. Numerate, San Bruno, California Founded in 2007, Numerate's innovative drug design platform uses machine-based learning techniques to mimic the drug properties of small molecule compounds such as target binding capacity and specificity, pharmacokinetics and drug metabolism properties, and toxic side effects. The usual drug screening process for this platform selects 25 million compounds from a pool of compounds containing one trillion mimetic compounds for simulation testing based on specific drug activity, specificity, and ADME models. This process can be completed in just one week, and the cost of testing each simulated compound is 0.01 cents. Chemists will analyze the test results and select the most promising analog compounds for synthesis and experimentation. The experimental results are used to correct and improve the accuracy of the simulation. As the process continues to cycle, the candidate compounds given by the simulation system will become more and more targeted. The company's drug discovery pipeline currently includes drug candidates for the treatment of metabolic diseases, cardiovascular diseases and Alzheimer's disease. 3. Recursion Pharmaceuticals, Salt Lake City, Utah Founded in 2013, Recursion has a ambitious goal: to find treatments for 100 diseases within a decade. The company's core technology is the use of computer vision technology to process cell images, and the analysis of more than 1,000 cell characteristics to assess the effect of disease cells after administration. Using advanced imaging techniques and artificial intelligence technology, this platform enables high-throughput cell model experiments to detect thousands of drug candidates in cell models of hundreds of diseases. Recursion has discovered 15 drug candidates for the treatment of rare diseases, among which drug candidates for cerebral cavernous malformation are about to enter clinical trials.
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