<code id='2CE94FC917'></code><style id='2CE94FC917'></style>
    • <acronym id='2CE94FC917'></acronym>
      <center id='2CE94FC917'><center id='2CE94FC917'><tfoot id='2CE94FC917'></tfoot></center><abbr id='2CE94FC917'><dir id='2CE94FC917'><tfoot id='2CE94FC917'></tfoot><noframes id='2CE94FC917'>

    • <optgroup id='2CE94FC917'><strike id='2CE94FC917'><sup id='2CE94FC917'></sup></strike><code id='2CE94FC917'></code></optgroup>
        1. <b id='2CE94FC917'><label id='2CE94FC917'><select id='2CE94FC917'><dt id='2CE94FC917'><span id='2CE94FC917'></span></dt></select></label></b><u id='2CE94FC917'></u>
          <i id='2CE94FC917'><strike id='2CE94FC917'><tt id='2CE94FC917'><pre id='2CE94FC917'></pre></tt></strike></i>

          fashion

          fashion

          author:fashion    Page View:424
          A handout illustration representing Google’s DeepMind subsidiary and Isomorphic Labs developed an AI model that can accurately predict how a vast universe of biomolecules interact on an atomic level.
          DeepMind

          Google on Wednesday unveiled an artificial intelligence tool capable of predicting the structure and interaction of a vast universe of biomolecules, a fundamental advance that may help scientists unravel poorly understood aspects of biology and disease.

          The new AI, dubbed AlphaFold 3, improves upon earlier versions of the model by predicting not just the structure of proteins, but all the molecules that interact with them in cells, including RNA, DNA, ions, and other small molecules.

          advertisement

          Most new drugs consist of small molecules designed to bind to a protein involved in disease. AlphaFold 3 opens broader avenues of exploration, allowing scientists to rapidly examine complex interactions with other molecules that may highlight new disease targets — and different ways of attacking them.

          STAT+ Exclusive Story

          Already have an account? Log in

          STAT+

          This article is exclusive to STAT+ subscribers

          Unlock this article — and get additional analysis of the technologies disrupting health care — by subscribing to STAT+.

          Already have an account? Log in

          Already have an account? Log in

          Monthly

          $39

          Totals $468 per year

          $39/month Get Started

          Totals $468 per year

          Starter

          $30

          for 3 months, then $39/month

          $30 for 3 months Get Started

          Then $39/month

          Annual

          $399

          Save 15%

          $399/year Get Started

          Save 15%

          11+ Users

          Custom

          Savings start at 25%!

          Request A Quote Request A Quote

          Savings start at 25%!

          2-10 Users

          $300

          Annually per user

          $300/year Get Started

          $300 Annually per user

          View All Plans

          Get unlimited access to award-winning journalism and exclusive events.

          Subscribe Log In

          explore

          ChatGPT in medicine: STAT answers readers' burning questions
          ChatGPT in medicine: STAT answers readers' burning questions

          MikeReddyforSTATArtificialintelligenceisoftendescribedasablackbox:anunknowable,mysteriousforcethatop

          read more
          CEOs share strategies for surviving biotech slump
          CEOs share strategies for surviving biotech slump

          JonathanWosenforSTATCARLSBAD,Calif.—BiotechCEOsleadingcellandgenetherapycompaniesspokefranklyataconf

          read more
          Medicare details structure of new drug price negotiation program
          Medicare details structure of new drug price negotiation program

          MedicareonFridayreleasednewdetailsabouthowitsnewdrugpricenegotiationprogramwillwork,justtwomonthsbef

          read more

          Adam's Take: Intra

          MollyFerguson/STATIamoneweekawayfromthelaunchofmyweeklyemailnewsletter!It’scalledAdam’sBiotechScorec