{"id":11448,"date":"2020-12-09T10:49:25","date_gmt":"2020-12-09T16:49:25","guid":{"rendered":"https:\/\/saluddigital.com\/?p=11448"},"modified":"2025-10-21T14:06:10","modified_gmt":"2025-10-21T20:06:10","slug":"cientificos-descubren-a-traves-de-inteligencia-artificial-como-las-proteinas-adquieren-su-forma-tridimensional","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/avance-de-la-ciencia\/cientificos-descubren-a-traves-de-inteligencia-artificial-como-las-proteinas-adquieren-su-forma-tridimensional\/","title":{"rendered":"Scientists discovered how proteins take on their three-dimensional shape thanks to Artificial intelligence"},"content":{"rendered":"
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Scientists from DeepMind, a Google company, discovered through Artificial Intelligence, one of the characteristics that make proteins obtain their three-dimensional form. It is a discovery that has been investigated since the 1970s.<\/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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DeepMind is a company specialized in Artificial Intelligence (AI) that since 2014 belongs to Alphabet Inc. One of the programs DeepMind has developed is AlphaFold, this project was described as \u201cthe culmination of several years of work, and builds on decades of prior research using large genomic datasets to predict protein structure.\u201d The shape of proteins determines their function, which is why this discovery is a big step for the development of science in today's times. Thanks to AI, trial and error testing was possible, which shortened research time and of course reduced costs.\u00a0<\/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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Proteins are composed of amino acid sequences bound together, in this way amino acids interact to achieve the forms of folded blade or alpha propeller. These forms largely achieve the three-dimensional shape of protein structure.<\/p>

The first findings were described in the articles published in the scientific journals Natura and PROTEINS, published in January 2020 and October 2019, respectively. Both studies indicated that the 3D models developed by AlphaFold were more accurate than any other generated years ago. \u201cWhat any given protein can do depends on its unique 3D structure. For example, antibody proteins utilised by our immune systems are \u2018Y-shaped\u2019, and form unique hooks. By latching on to viruses and bacteria, these antibody proteins are able to detect and tag disease - causing microorganisms for elimination,\u201d as they explained it on their official site.<\/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

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In this way, the developments of AlphaFold can be used for the creation and development of new drugs for the treatment of various diseases. Demis Hassabis, who founded DeepMind in 2010 and now serves as CEO mentioned the following about this scientific breakthrough: \u201cIt marks an exciting moment for the field. These algorithms are now becoming mature enough and powerful enough to be applicable to really challenging scientific problems.\u201d<\/p>

Scientists have described this discovery as a turning point, which will change not only medicine but research in bioengineering. The scientific community hopes this finding can help in researching more proteins and the potential development of new drugs.<\/p>

\u00a0<\/p>

AlphaFold's project participated in the Critical Assessment of Protein Structure<\/em> Prediction<\/em> or CAPS, an event held every two years where specialized protein projects are exposed and competed with each other. In fact, the code used in CAPS13 by DeepMind is available on GitHub via the following link: https:\/\/github.com\/deepmind\/deepmind-research\/tree\/master\/alphafold_casp13<\/a>.<\/p>

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Preliminary studies are available at the following links: https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/prot.25834<\/a><\/p>

https:\/\/www.nature.com\/articles\/s41586-019-1923-7.epdf?author_access_token=Z_KaZKDqtKzbE7Wd5HtwI9RgN0jAjWel9jnR3ZoTv0MCcgAwHMgRx9mvLjNQdB2TlQQaa7l420UCtGo8vYQ39gg8lFWR9mAZtvsN_1PrccXfIbc6e-tGSgazNL_XdtQzn1PHfy21qdcxV7Pw-k3htw%3D%3D<\/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\tBIBLIOGRAPHY<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

BBC<\/strong><\/p>

https:\/\/www.bbc.com\/mundo\/noticias-55140137<\/a><\/p>

\u00a0<\/p>

THE GUARDIAN <\/strong><\/p>

https:\/\/www.theguardian.com\/technology\/2020\/nov\/30\/deepmind-ai-cracks-50-year-old-problem-of-biology-research<\/a><\/p>

\u00a0<\/p>

DEEPMIND<\/strong><\/p>

https:\/\/deepmind.com\/blog\/article\/AlphaFold-Using-AI-for-scientific-discovery<\/a><\/p>

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NATURE<\/strong><\/p>

https:\/\/www.nature.com\/articles\/d41586-020-03348-4<\/a> \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/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":"

Cient\u00edficos de DeepMind, compa\u00f1\u00eda perteneciente a Google descubrieron a trav\u00e9s de Inteligencia Artificial, una de las caracter\u00edsticas que hacen que las prote\u00ednas obtengan su forma tridimensional. Se trata de un descubrimiento que ha sido investigado desde la d\u00e9cada de los 70. DeepMind es una compa\u00f1\u00eda especializada en Inteligencia Artificial (IA) que desde 2014 pertenece a Alphabet Inc. Uno de los programas que ha desarrollado DeepMind es AlphaFold, este proyecto fue descrito como \u201cla culminaci\u00f3n de varios a\u00f1os de trabajo, y basado en d\u00e9cadas de investigaci\u00f3n previa utilizando grandes conjuntos de datos gen\u00f3micos para predecir la estructura de las prote\u00ednas\u201d.  La forma de las prote\u00ednas determina su funci\u00f3n, es por eso que este descubrimiento es un gran paso para el desarrollo de la ciencia en tiempos actuales. Gracias a la IA, fue posible realizar ensayos de prueba y error, lo que permiti\u00f3 acortar el tiempo de la investigaci\u00f3n y por supuesto reducir costos.  Las prote\u00ednas se componen de secuencias de amino\u00e1cidos unidas entre s\u00ed, de esta forma los amino\u00e1cidos interact\u00faan para lograr las formas de hoja plegada o h\u00e9lice alfa. Estas formas en gran cantidad logran la forma tridimensional de la estructura de las prote\u00ednas. Los primeros hallazgos fueron descritos en los art\u00edculos publicados en las revistas cient\u00edficas Natura y PROTEINS, publicados en enero de 2020 y octubre de 2019, respectivamente. Ambos estudios indicaban que los modelos 3D desarrollados por AlphaFold eran m\u00e1s precisos que cualquier otro generado a\u00f1os atr\u00e1s. \u201cLo que cualquier prote\u00edna puede hacer depende de su estructura tridimensional \u00fanica. Por ejemplo, las prote\u00ednas de anticuerpos utilizadas por nuestro sistema inmunol\u00f3gico tienen forma de “Y”, y forman ganchos \u00fanicos. Al adherirse a los virus y las bacterias, estas prote\u00ednas de anticuerpos son capaces de detectar y etiquetar enfermedades, causando la eliminaci\u00f3n de microorganismos\u201d explican en su sitio oficial. De esta forma, los desarrollos de AlphaFold podr\u00e1n utilizarse para la creaci\u00f3n y desarrollo de nuevos f\u00e1rmacos para el tratamiento de diversas enfermedades. Demis Hassabis, quien fund\u00f3 DeepMind en 2010 y ahora se desempe\u00f1a como director ejecutivo mencion\u00f3 lo siguiente sobre este avance cient\u00edfico: \u201cEstos algoritmos ahora se est\u00e1n volviendo lo suficientemente maduros y potentes como para ser aplicables a problemas cient\u00edficos realmente desafiantes\u201d. Cient\u00edficos han calificado este descubrimiento como un punto de inflexi\u00f3n, que cambiar\u00e1 no solo la medicina sino la investigaci\u00f3n en bioingenier\u00eda. La comunidad cient\u00edfica espera que este hallazgo pueda ayudar en la investigaci\u00f3n sobre m\u00e1s prote\u00ednas y el potencial desarrollo de nuevos medicamentos. El proyecto de AlphaFold particip\u00f3 en the Critical Assessment of Protein Structure Prediction o CAPS, un evento que se realiza cada dos a\u00f1os en donde proyectos especializados en prote\u00ednas se exponen y compiten entre ellos. De hecho, el c\u00f3digo utilizado en el CAPS13 por DeepMind esta disponible en GitHub a trav\u00e9s del siguiente enlace: https:\/\/github.com\/deepmind\/deepmind-research\/tree\/master\/alphafold_casp13. Los estudios preliminares se encuentran disponibles en los siguientes enlaces: https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/prot.25834 https:\/\/www.nature.com\/articles\/s41586-019-1923-7.epdf?author_access_token=Z_KaZKDqtKzbE7Wd5HtwI9RgN0jAjWel9jnR3ZoTv0MCcgAwHMgRx9mvLjNQdB2TlQQaa7l420UCtGo8vYQ39gg8lFWR9mAZtvsN_1PrccXfIbc6e-tGSgazNL_XdtQzn1PHfy21qdcxV7Pw-k3htw%3D%3D BIBLIOGRAF\u00cdA BBC https:\/\/www.bbc.com\/mundo\/noticias-55140137 THE GUARDIAN https:\/\/www.theguardian.com\/technology\/2020\/nov\/30\/deepmind-ai-cracks-50-year-old-problem-of-biology-research DEEPMIND https:\/\/deepmind.com\/blog\/article\/AlphaFold-Using-AI-for-scientific-discovery   NATURE https:\/\/www.nature.com\/articles\/d41586-020-03348-4               <\/p>","protected":false},"author":1,"featured_media":11449,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[152,156],"tags":[145],"class_list":["post-11448","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-avance-de-la-ciencia","category-big-data","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11448","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=11448"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/11448\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/11449"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=11448"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=11448"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=11448"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}