{"id":24462,"date":"2022-03-22T09:20:01","date_gmt":"2022-03-22T15:20:01","guid":{"rendered":"https:\/\/saluddigital.com\/?p=24462"},"modified":"2025-10-21T10:06:10","modified_gmt":"2025-10-21T16:06:10","slug":"modelo-computacional-identifican-nuevas-combinaciones-de-medicamentos-para-tratamiento-de-covid-19","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/big-data\/modelo-computacional-identifican-nuevas-combinaciones-de-medicamentos-para-tratamiento-de-covid-19\/","title":{"rendered":"Computational model identifies new combinations of drugs for the treatment of COVID-19"},"content":{"rendered":"
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Computer models designed to study cancer cells have been adapted by researchers at University College London (UCL) to identify new combinations of drugs to treat severe cases of COVID-19.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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The article \u201cExecutable Network of SARS-CoV-2 Interaction Predicts Combination Drug Treatments\u201d, published in the journal Nature, shows the potential of the computer model to identify existing therapies that could be suitable for the treatment of COVID-19 patients. .<\/p>

The study details that the early and late stages of a severe COVID-19 infection have different characteristics, for which the UCL researchers developed a computational model that can reproduce the different phases of COVID-19.<\/p>

Researchers had previously developed an approach that had successful results in finding drugs for cancer treatment. In this case, they developed a network map of the interaction of the SARS-CoV-2 virus, and its interaction with epithelial cells of the lungs, which are related to COVID-19 in its severe form.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Professor Jasmin Fisher from the UCL Cancer Institute and lead author of the study explained: "We realized we could model SARS-CoV-2 infection using a computational framework originally developed in my lab to predict personalized treatment combinations for cancer patients and use it to predict effective combinations of repurposed drugs to treat Covid-19.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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In this sense, the study details the following about the process to find the correct drug combinations: "We use this model to examine thousands of drug combinations in order to find treatments that block key interactions between the virus and the host, important for viral replication, or pathogenic dysregulation of the immune response. We are especially focused on host-targeted therapies, which may be more resistant to future variants of the virus.\u201d<\/p>

In this way, they identified various combinations of drugs to act together to attack viral replication in the early part of the disease. The drugs identified were either licensed or in the final stages of development, and computer models showed the impacts they have on virus replication and host response.<\/p>

Finally, the model was validated, indicating that the prediction of the therapeutic effects of drugs already used to treat COVID-19 coincided with the clinical results of the drug combinations developed.<\/p>

Check the full study at the following link:<\/p>

https:\/\/www.nature.com\/articles\/s41746-022-00561-5<\/a> <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t<\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t BIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/s41746-022-00561-5<\/a><\/p>

EUREKALERT<\/strong><\/p>

https:\/\/www.eurekalert.org\/news-releases\/943345<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Modelos de computadora ideados para estudiar c\u00e9lulas de c\u00e1ncer fueron adaptados por investigadores de la University College London (UCL), para identificar nuevas combinaciones de medicamentos en el tratamiento de caso graves de COVID-19. El art\u00edculo “Red ejecutable de interacci\u00f3n SARS-CoV-2 predice tratamientos de combinaci\u00f3n de f\u00e1rmacos”, publicado en la revista Nature, muestra el potencial del modelo de computadora para identificar terapias existentes que podr\u00edan ser adecuadas para el tratamiento de pacientes con COVID-19. El estudio detalla que las etapas tempranas y tard\u00edas de una infecci\u00f3n por COVID-19 cuando es grave, tienen distintas caracter\u00edsticas, por ellos los investigadores del UCL, desarrollaron un modelo computacional que puede reproducir las distintas fases de COVID-19. Previamente los investigadores hab\u00edan desarrollado un enfoque que tuvo resultados exitosos en la b\u00fasqueda de f\u00e1rmacos para el tratamiento contra c\u00e1ncer. En este caso, desarrollaron un mapa en red de la interacci\u00f3n del virus SARS-CoV-2, y su interacci\u00f3n con c\u00e9lulas epiteliales de los pulmones, que se relacionan con el COVID-19 en su forma grave. La profesora Jasmin Fisher del Instituto del C\u00e1ncer de la UCL y, autora principal del estudio, explic\u00f3 lo siguiente: \u201cNos dimos cuenta de que pod\u00edamos modelar la infecci\u00f3n por el SARS-CoV-2 utilizando un marco computacional desarrollado originalmente en mi laboratorio para predecir combinaciones de tratamiento personalizadas para pacientes con c\u00e1ncer y utilizarlo para predecir combinaciones eficaces de f\u00e1rmacos reutilizados para tratar el Covid-19\u201d. En este sentido, el estudio detalla lo siguiente sobre el proceso para encontrar las combinaciones correctas de medicamentos: \u201cUtilizamos este modelo para examinar miles de combinaciones de f\u00e1rmacos con el fin de encontrar tratamientos que bloqueen las interacciones clave entre el virus y el hu\u00e9sped, importantes para la replicaci\u00f3n viral, o la desregulaci\u00f3n pat\u00f3gena de la respuesta inmunitaria. Nos centramos especialmente en las terapias dirigidas al hu\u00e9sped, que pueden ser m\u00e1s resistentes a futuras variantes del virus\u201d. De esta forma, identificaron varias combinaciones de medicamentos para que act\u00faen juntos para atacar la replicaci\u00f3n viral en la parte temprana de la enfermedad. Los medicamentos identificados, se encontraban licenciados o en las fases finales de desarrollo y los modelos de computadora mostraron los impactos que tienen en la replicaci\u00f3n del virus y en la respuesta del hu\u00e9sped. Finalmente, el modelo fue validado indicando que la predicci\u00f3n de los efectos terap\u00e9uticos de medicamentos ya utilizados para tratamiento de COVID-19, coincidieron con los resultados cl\u00ednicos de las combinaciones de medicamentos desarrolladas. Consulta el estudio completo en el siguiente enlace: https:\/\/www.nature.com\/articles\/s41746-022-00561-5 BIBLIOGRAF\u00cdA NATURE https:\/\/www.nature.com\/articles\/s41746-022-00561-5 EUREKALERT https:\/\/www.eurekalert.org\/news-releases\/943345<\/p>","protected":false},"author":1,"featured_media":24464,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[156,3393,160],"tags":[145],"class_list":["post-24462","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-inteligencia-artificial-y-ciencia","category-noticias","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/24462","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=24462"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/24462\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/24464"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=24462"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=24462"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=24462"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}