Answers.Body: <p>I'm not sure if it is being used directly in the <em>industry</em>, but <a href="https://www.lancaster.ac.uk/news/uk-scientists-develop-new-rapid-smart-testing-device-for-coronavirus" rel="nofollow noreferrer">here</a> is an interesting article on research being done by 3 UK universities using AI. </p>
  
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Answers.Body: <p>A global race is underway to discover a vaccine, drug, or combination of treatments that can disrupt the SARS-CoV-2 virus.</p>
  <p>The problem is, there are more than a <strong>billion</strong> such molecules. A researcher would conceivably want to test each one against the two dozen or so proteins in <strong>SARS-CoV-2</strong> to see their effects. Such a project could use every wet lab in the world and still not be completed for centuries.</p>
  <p>Computer modelling is a common approach used by academic researchers and pharmaceutical companies as a preliminary, filtering step in drug discovery. However, in this case, even every supercomputer on Earth could not test those <strong>billion molecules</strong> in a reasonable amount of time.</p>
  <p><a href="https://foldingathome.org/" rel="nofollow noreferrer"><strong>Folding@home</strong></a> is a distributed computing project run by Stanford University. The aim of the project is to examine how proteins fold and it does this using <strong>spare computing power</strong>. however, there is a lot of research in progress that are harnessing the potential of <strong>Artificial intelligence</strong> to develop the potential treatment to combat the <strong>COVID-19</strong>.</p>
  <p>Check this recent article By <strong>Tyler Orton</strong> in <strong>biv</strong> focus on how artificial intelligence is used to accelerate the process of Drug Discovery:
  <a href="https://biv.com/article/2020/05/drug-research-turns-artificial-intelligence-covid-19-fight" rel="nofollow noreferrer"><strong>Drug research turns to artificial intelligence in COVID-19 fight</strong></a></p>
  <p>Here are the list of some companies that are using <strong>AI-driven</strong> approach for Drug discovery</p>
  <ul>
  <li><a href="https://www.blackthornrx.com/" rel="nofollow noreferrer">BlackThorn Therapeutics</a></li>
  <li><a href="https://www.exscientia.ai/" rel="nofollow noreferrer">xscientia</a></li>
  <li><a href="https://insilico.com/" rel="nofollow noreferrer">Insilico Medicine</a></li>
  <li><a href="http://insitro.com/" rel="nofollow noreferrer">Insitro</a></li>
  <li><a href="https://notablelabs.com/" rel="nofollow noreferrer">Notable Labs</a></li>
  <li><a href="http://www.standigm.com/" rel="nofollow noreferrer">Standigm</a></li>
  <li><a href="https://www.recursionpharma.com/" rel="nofollow noreferrer">Recursion Pharmaceuticals</a></li>
  </ul>
  <p>The Hong Kong-based company <strong>Insilico Medicine</strong>, a developer of comprehensive drug discovery and biomarker development platform <strong>GENTRL</strong>, and a pioneer in the application of <strong>generative adversarial networks (GANs)</strong> to drug discovery.</p>
  <p>Insilico Medicine, Publishes a paper in September last year titled,
  <a href="https://www.nature.com/articles/s41587-019-0224-x" rel="nofollow noreferrer"><strong>Deep learning enables rapid identification of potent DDR1 kinase inhibitors</strong></a>,&quot; in a most reputed journal <strong>Nature Biotechnology</strong>. The paper describes a timed challenge, where the new artificial intelligence system called <strong>Generative Tensorial Reinforcement Learning (GENTRL)</strong> designed <strong>six novel inhibitors of DDR1</strong>, a <strong>kinase target implicated in fibrosis</strong> <strong>and other diseases</strong>, <strong>in 21 days</strong>.</p>
  <p>Four compounds were active in biochemical assays, and two were validated in cell-based assays. One lead candidate was tested and demonstrated favorable pharmacokinetics in mice.</p>
  
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Body: <p>We all have heard about how beneficial AI can be in health. There are plenty of papers and research about confronting diseases, like cancer. However, in 2020 with COVID-19 be one of the most serious health problems that have caused thousands of deaths worldwide.</p>
  <p>Is AI already being used in the drug industry to combat the COVID-19? If yes, can you, please, provide a reference?</p>
  
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Comments.Text: I have changed your question so that this post is more useful. Note that I have already asked a similar question: https://ai.stackexchange.com/q/18701/2444, but your question now is slightly different.
Comments.UserDisplayName: nbro
Tags: <reference-request><healthcare>
Title: Is AI already being used in the drug industry to combat the COVID-19?
UserDisplayName: ddaedalus
ThreadText: # Is AI already being used in the drug industry to combat the COVID-19?
  
  (Asked by: username_0 on 2020-05-08)
  
  We all have heard about how beneficial AI can be in health. There are plenty of papers and research about confronting diseases, like cancer. However, in 2020 with COVID-19 be one of the most serious health problems that have caused thousands of deaths worldwide.
  
  Is AI already being used in the drug industry to combat the COVID-19? If yes, can you, please, provide a reference?
  
  **Tags:** reference-request, healthcare
  > **Comments:**
  > **username_1**: I have changed your question so that this post is more useful. Note that I have already asked a similar question: https://ai.stackexchange.com/q/18701/2444, but your question now is slightly different.  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_3 on 2020-05-08. Score: 5 | Accepted answer
  
  A global race is underway to discover a vaccine, drug, or combination of treatments that can disrupt the SARS-CoV-2 virus.
  
  The problem is, there are more than a **billion** such molecules. A researcher would conceivably want to test each one against the two dozen or so proteins in **SARS-CoV-2** to see their effects. Such a project could use every wet lab in the world and still not be completed for centuries.
  
  Computer modelling is a common approach used by academic researchers and pharmaceutical companies as a preliminary, filtering step in drug discovery. However, in this case, even every supercomputer on Earth could not test those **billion molecules** in a reasonable amount of time.
  
  [**Folding@home**](https://foldingathome.org/) is a distributed computing project run by Stanford University. The aim of the project is to examine how proteins fold and it does this using **spare computing power**. however, there is a lot of research in progress that are harnessing the potential of **Artificial intelligence** to develop the potential treatment to combat the **COVID-19**.
  
  Check this recent article By **Tyler Orton** in **biv** focus on how artificial intelligence is used to accelerate the process of Drug Discovery:
  [**Drug research turns to artificial intelligence in COVID-19 fight**](https://biv.com/article/2020/05/drug-research-turns-artificial-intelligence-covid-19-fight)
  
  Here are the list of some companies that are using **AI-driven** approach for Drug discovery
  
  * [BlackThorn Therapeutics](https://www.blackthornrx.com/)
  * [xscientia](https://www.exscientia.ai/)
  * [Insilico Medicine](https://insilico.com/)
  * [Insitro](http://insitro.com/)
  * [Notable Labs](https://notablelabs.com/)
  * [Standigm](http://www.standigm.com/)
  * [Recursion Pharmaceuticals](https://www.recursionpharma.com/)
  
  The Hong Kong-based company **Insilico Medicine**, a developer of comprehensive drug discovery and biomarker development platform **GENTRL**, and a pioneer in the application of **generative adversarial networks (GANs)** to drug discovery.
  
  Insilico Medicine, Publishes a paper in September last year titled,
  [**Deep learning enables rapid identification of potent DDR1 kinase inhibitors**](https://www.nature.com/articles/s41587-019-0224-x)," in a most reputed journal **Nature Biotechnology**. The paper describes a timed challenge, where the new artificial intelligence system called **Generative Tensorial Reinforcement Learning (GENTRL)** designed **six novel inhibitors of DDR1**, a **kinase target implicated in fibrosis** **and other diseases**, **in 21 days**.
  
  Four compounds were active in biochemical assays, and two were validated in cell-based assays. One lead candidate was tested and demonstrated favorable pharmacokinetics in mice.
  
  
  ---
  
  ### Answer by username_2 on 2020-05-08. Score: 2
  
  I'm not sure if it is being used directly in the *industry*, but [here](https://www.lancaster.ac.uk/news/uk-scientists-develop-new-rapid-smart-testing-device-for-coronavirus) is an interesting article on research being done by 3 UK universities using AI.
  
  
  ---
  
  