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Scientific advances<\/p>\n
[\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.27.6″ vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ hover_enabled=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}” _module_preset=”dc6ab383-11a3-454b-8ba1-6554be6042b4″ sticky_enabled=”0″]<\/p>\n
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Este trabajo de colaboraci\u00f3n entre dos centros CABD e IBE\u00a0<\/span>permite identificar genes y explorar las prote\u00ednas que puedan ser de inter\u00e9s biom\u00e9dico y biotecnol\u00f3gico, entre otras v\u00edas de investigaci\u00f3n<\/span><\/p>\n Un estudio del Centro Andaluz de Biolog\u00eda del Desarrollo (CABD-CSIC-UPO-JA<\/a>) junto al Instituto de Biolog\u00eda Evolutiva (IBE: CSIC-UPF<\/a>) en Barcelona ha empleado t\u00e9cnicas avanzadas de inteligencia artificial para el an\u00e1lisis de prote\u00ednas. Gracias al uso de esta metodolog\u00eda, el equipo investigador ha conseguido demostrar que se puede identificar y describir lo que hacen las prote\u00ednas en detalle, incluso sin informaci\u00f3n previa. Este trabajo permite la aplicaci\u00f3n masiva de estos m\u00e9todos para entender las prote\u00ednas en organismos menos estudiados, identificar nuevas funciones de genes y explorar qu\u00e9 prote\u00ednas pueden ser de inter\u00e9s biom\u00e9dico y biotecnol\u00f3gico con mucha m\u00e1s precisi\u00f3n que los m\u00e9todos tradicionales.<\/p>\n En la naturaleza la informaci\u00f3n contenida en el ADN se transforma en prote\u00ednas, que son las que act\u00faan en las c\u00e9lulas. En este proyecto, liderado por los investigadores del CABD, Ildefonso Cases y Ana M. Rojas junto a Rosa Fern\u00e1ndez, del IBE, se han empleado dos m\u00e9todos basados en el aprendizaje profundo (deep learning<\/i>) para analizar prote\u00ednas en varios organismos modelo, como la levadura, el rat\u00f3n o la mosca de la fruta. La exploraci\u00f3n mostr\u00f3 que los modelos de lenguaje (Transformers<\/i>) son m\u00e1s efectivos que las redes convolucionales, proporcionando informaci\u00f3n m\u00e1s precisa e informativa sobre las prote\u00ednas de las especies estudiadas. Adem\u00e1s, los modelos de lenguaje pueden recuperar informaci\u00f3n funcional a partir de datos de ARN (el ARN es una mol\u00e9cula que lleva las instrucciones del ADN para fabricar prote\u00ednas en las c\u00e9lulas).<\/p>\n<\/div>\n <\/p>\n Ana Rojas, Patricia Medina and Ildefonso Cases, some of the authors of the work.<\/em><\/p>\n \u201cWe are at a critical moment due to the huge number of sequencing projects of unknown organisms that produce millions of sequences, of which we cannot predict their function using traditional methods,\u201d explains Ana Rojas (CABD). This work opens up new avenues of research related to greater precision in protein function analysis and classification models.<\/p>\n This new study, published in the journal ‘Nuc Acids Red Genomics and Bioinformatics’, lays the groundwork for the use of artificial intelligence in other applications. \u201cThese deep learning tools will make it possible to tackle new problems in computational biology. We are working on applying these techniques to other targets, such as on-demand promoters, single-cell cluster annotation, or protein engineering.\u201d<\/p>\n For her part, IBE researcher Rosa Fern\u00e1ndez emphasizes that this research is fundamental in the field of biodiversity, where every day new protein sequences are published whose function is unknown, making it possible to address the problem of Dark Proteome annotation. \u201cTo do this we are using these tools on thousands of transcriptomes from the animal kingdom, work that is under review. The more information we have on the functions of new sequences, the faster we will decipher the molecular mechanisms of biological processes that occur in the field of biodiversity and regeneration with potential biotechnological (food industry) and biomedical (pharmaceutical industry) applications,\u201d concludes the researcher.<\/p>\n Israel Barrios-N\u00fa\u00f1ez, Gemma\u00a0I Mart\u00ednez-Redondo, Patricia Medina-Burgos, Ildefonso Cases, Rosa Fern\u00e1ndez, Ana\u00a0M Rojas, Decoding functional proteome information in model organisms using protein language models,\u00a0NAR Genomics and Bioinformatics<\/i>, Volume 6, Issue 3, September 2024, lqae078,<\/span> This press release was made in collaboration with\u00a0“Comunicaci\u00f3n del CSICAndaluc\u00eda y Extremadura”<\/p>\n<\/div>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Scientific advancesStudy shows that Artificial Intelligence can decipher the function of unknown proteins Es el primer estudio que demuestra que estas herramientas permiten clasificar las funciones previamente desconocidas con un […]<\/p>\n","protected":false},"author":2997,"featured_media":18856,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[184],"tags":[],"class_list":["post-21245","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-scientific-advances"],"_links":{"self":[{"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/posts\/21245","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/users\/2997"}],"replies":[{"embeddable":true,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/comments?post=21245"}],"version-history":[{"count":4,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/posts\/21245\/revisions"}],"predecessor-version":[{"id":26923,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/posts\/21245\/revisions\/26923"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/media\/18856"}],"wp:attachment":[{"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/media?parent=21245"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/categories?post=21245"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cabd.es\/en\/wp-json\/wp\/v2\/tags?post=21245"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/cabd.es\/wp-content\/uploads\/2026\/03\/Un-estudio-demuestra-que-la-Inteligencia-Artificial2.jpg\")
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https:\/\/doi.org\/10.1093\/nargab\/lqae078<\/a><\/p>\n