{"id":15032,"date":"2025-01-14T17:52:52","date_gmt":"2025-01-14T17:52:52","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=15032"},"modified":"2025-01-14T17:52:53","modified_gmt":"2025-01-14T17:52:53","slug":"new-uva-computer-models-to-combat-antibiotic-resistance","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-uva-computer-models-to-combat-antibiotic-resistance\/","title":{"rendered":"New UVA Computer Models to Combat Antibiotic Resistance"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">University of Virginia researchers are pioneering advanced computer models to target harmful bacteria with greater precision, a development that could significantly curb the threat of antibiotic resistance.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-b0ffac9c wp-block-group-is-layout-flex\"><div style=\"font-size:16px\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">A new development from the University of Virginia School of Medicine may usher in a new era of precision medicine, promising to revolutionize the way antibiotics are used to treat infections. Using advanced computer models, UVA researchers have found a way to target harmful bacteria more precisely, potentially reducing the growing threat of antibiotic resistance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Many biomedical challenges are incredibly complex, and computer models are emerging as a powerful tool for tackling such problems,&#8221; corresponding author Jason Papin, a professor in UVA\u2019s Department of Biomedical Engineering, said in a <a href=\"https:\/\/newsroom.uvahealth.com\/2025\/01\/13\/computer-models-could-lead-to-more-targeted-antibiotics\/\" target=\"_blank\" rel=\"noopener\" title=\"\">news release<\/a>. &#8220;We\u2019re hopeful that these computer models of the molecular networks in bacteria will help us develop new strategies to treat infections.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Currently, antibiotics function as broad-spectrum agents, killing bacteria indiscriminately. This widespread use exacerbates the problem of antibiotic resistance, rendering some of modern medicine\u2019s most vital tools less effective. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">UVA\u2019s cutting-edge approach has opened the door to antibiotics that could provide laser-targeted treatment, addressing this pressing issue.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Power of Precision<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Papin, doctoral student Emma Glass and their team at UVA, in collaboration with Andrew Warren, a research assistant professor at UVA&#8217;s Biocomplexity Institute, have painstakingly developed sophisticated computer models of every human bacterial pathogen with enough genetic information available. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Glass&#8217;s analysis revealed that bacteria in specific areas of the body, such as the stomach, exhibit unique metabolic properties shaped by their environment.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;Using our computer models, we found that the bacteria living in the stomach had unique properties,&#8221; Glass said in the news release. &#8220;These properties can be used to guide the design of targeted antibiotics, which could hopefully one day slow the emergence of resistant infections.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This discovery suggests that the shared traits of bacteria in different locales within the body can be exploited as a new strategy to combat bacterial infections. By targeting specific bacterial types, doctors may minimize the use of broad-spectrum antibiotics, subsequently reducing the risk of resistance.<\/p>\n\n\n\n<div class=\"wp-block-uagb-advanced-heading uagb-block-29806509\"><h2 class=\"uagb-heading-text\">Promising Early Results<\/h2><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Papin and his team have already observed promising results. Their computer-modeling approach was able to inhibit the growth of harmful stomach bacteria in laboratory experiments, offering a glimpse into the potential of this technology.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;We still have much to do to test these ideas for other bacteria and types of infections,&#8221; Papin added. &#8220;But this work shows the incredible promise of data science and computer modeling for tackling some of the most important problems in biomedical research.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The researchers&#8217; findings have been <a href=\"https:\/\/journals.plos.org\/plosbiology\/article?id=10.1371\/journal.pbio.3002907\" target=\"_blank\" rel=\"noopener\" title=\"\">published<\/a> in the scientific journal PLOS Biology. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new development from the University of Virginia School of Medicine may usher in a new era of precision medicine, promising to revolutionize the way antibiotics are used to treat infections. Using advanced computer models, UVA researchers have found a way to target harmful bacteria more precisely, potentially reducing the growing threat of antibiotic resistance. [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[25],"tags":[],"class_list":["post-15032","post","type-post","status-publish","format-standard","hentry","category-science"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"A new development from the University of Virginia School of Medicine may usher in a new era of precision medicine, promising to revolutionize the way antibiotics are used to treat infections. Using advanced computer models, UVA researchers have found a way to target harmful bacteria more precisely, potentially reducing the growing threat of antibiotic resistance.&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/15032","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=15032"}],"version-history":[{"count":10,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/15032\/revisions"}],"predecessor-version":[{"id":15053,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/15032\/revisions\/15053"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=15032"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=15032"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=15032"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}