--- title: Health Workers See Promise in Software for Drug-Resistant Bacteria description: New software may predict genetic changes in bacteria before they occur canonical: https://time.com/3653464/software-antibiotic-resistance-research/ author: Alexandra Sifferlin article:opinion: false article:content_tier: free article:published_time: 2015-01-05T15:22:51.000Z article:modified_time: 2026-08-04T08:00:07.325Z article:section: Health og:title: Health Workers See Promise in Software for Drug-Resistant Bacteria og:description: New software may predict genetic changes in bacteria before they occur og:url: https://time.com/3653464/software-antibiotic-resistance-research/ og:site_name: TIME og:image: https://static.time.com/v3/assets/bltea6093859af6183b/blt63851736629d5abf/69877812f887dc0908e89525/173299384-copy.jpg?branch=production&width=1200&quality=75&auto=webp&crop=16:9 og:image:width: 3646 og:image:height: 2051 og:image:alt: 173299384 og:type: article twitter:card: summary_large_image twitter:title: Health Workers See Promise in Software for Drug-Resistant Bacteria twitter:description: New software may predict genetic changes in bacteria before they occur twitter:image: https://static.time.com/v3/assets/bltea6093859af6183b/blt63851736629d5abf/69877812f887dc0908e89525/173299384-copy.jpg?branch=production&width=1200&quality=75&auto=webp&crop=16:9 ---  # Health Workers See Promise in Software to Tackle Drug-Resistant Bacteria > Sponsored content. 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Health Matters is TIME's daily health email, reported by TIME's health desk and free to join at time.com/newsletters. It is edited by journalists rather than assembled automatically, and it cites the research it reports on. #### Is Health Matters free? Yes. Health Matters is a free daily newsletter from TIME, available at time.com/newsletters. #### Who reads TIME's Health Matters newsletter? Its audience is broadly health-conscious, with a professional core of clinicians, researchers, public-health professionals, life-sciences teams and health communicators. ## Video: This Flu Shot Is Not Like the Others [Watch (HLS stream): This Flu Shot Is Not Like the Others](https://cdn.jwplayer.com/manifests/1thSi60s.m3u8) (2:09)  _Published 2014-10-30. Some people may get a new flu shot that’s made with dog cells instead of chicken eggs_ by [Alexandra Sifferlin](https://time.com/author/alexandra-sifferlin/) ## Alexandra Sifferlin Jan 5, 2015 3:22 PM UTC  MRSA bacteria, artwork MRSA bacteria, artwork Getty Images by [Alexandra Sifferlin](https://time.com/author/alexandra-sifferlin/) ## Alexandra Sifferlin Jan 5, 2015 3:22 PM UTC Researchers have developed a new software that predicts changes in bacteria that can make them drug-resistant. Drug resistance happens when disease-causing bacteria adapts to antibiotics and becomes less responsive to treatment. Antibiotic-resistant bacteria [cause](http://www.cdc.gov/drugresistance/national-strategy/) at least 2 million infections and 23,000 deaths in the United States each year, but because the bacteria are constantly reproducing, it’s hard to determine what changes and mutations will occur. Concern about drug resistance has caused doctors to prescribe bacteria-killing drugs more sparingly. Now a team of researchers at Duke University may have alighted on a solution. In a recently published [study](http://www.pnas.org/content/early/2014/12/31/1411548112) in the journal _Proceedings of the National Academy of Sciences,_ the researchers’ software, OSPREY, was able to predict the most likely mutations to come out of certain bacteria. Researchers were able to then test treatment with drugs that are still in the experimental phase. Identifying the most likely mutations while drugs are still under development, the team believes, means the medicine is better positioned for success when it hits the market. “If we can somehow predict how bacteria might respond to a particular drug ahead of time, we can change the drug, or plan for the next one, or rule out therapies that are unlikely to remain effective for long,” said study co-author Pablo Gainza-Cirauqui [in a statement](http://www.eurekalert.org/pub%5Freleases/2015-01/du-psc010215.php). The scientists looked specifically at a common drug-resistant bacteria called methicillin-resistant Staphylococcus aureus, or MRSA–a common cause of infections in health care settings like hospitals. They used their software to successfully predict that genetic changes that would occur in the bacteria when treated with drugs. The researchers are now testing their software on other bacteria, but have made the software open for use by any researcher. 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