{"ok":true,"nota":{"id":"09fa34393d190bcd","slug":"una-herramienta-de-ia-logra-predecir-que-antigenos-reconocen-las-celul-09fa34","titulo":"Una herramienta de IA logra predecir qué antígenos reconocen las células inmunes usando solo la secuencia gené","resumen":"Investigadores del TGen, del City of Hope, usaron la plataforma de inteligencia artificial AlphaFold 3 para predecir si un receptor de células T reconoce un antígeno específico. La predicción se basa únicamente en la secuencia genética.","fuente":"phys","fuenteNombre":"Phys.org","color":"#2b5c8a","autor":"","url":"https://phys.org/news/2026-11-alphafold-complex-immune-interactions-protein.html","imagen":"https://scx1.b-cdn.net/csz/news/tmb/2026/scientists-use-alphafo-1.jpg","tema":"salud","subtemas":["inmunologia","inteligencia artificial","celulas t","inmunoterapia","medicina personalizada"],"entidades":["TGen","City of Hope","AlphaFold 3","Phys.org"],"formato":"dato","entretenimiento":false,"pubTs":"2026-11-04T19:20:01.000Z","indexTs":"2026-11-04T19:27:52.576Z","hash":"377143ec4e9675dd56ae65a6c08755f529b06a948cec7ea31eedf7a47bb4c4e0","tsa":{"time":"Nov  4 19:27:59 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"normal","registro":"hallazgo","porQueImporta":"Hoy, entender cómo responde el sistema inmune frente a una infección o un tumor puede llevar meses de laboratorio. Si una computadora puede anticipar esa respuesta a partir de la secuencia, los científicos avanzan mucho más rápido en vacunas y tratamientos. Para una persona que algún día reciba un diagnóstico de cáncer o una enfermedad infecciosa, eso podría acortar la espera de una terapia personalizada. Todavía falta comprobar que estas predicciones funcionen fuera del entorno de estudio.","quienFirma":"City of Hope (TGen)","confianza":"divulgacion","consulta":null},"sello":{"hash":"377143ec4e9675dd56ae65a6c08755f529b06a948cec7ea31eedf7a47bb4c4e0","sello":"ca5eec4ab26919ff74a63af0283c005e60fe55e9d40028bfb40a8278247295c1","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6612981,"aleatorio":"4074d98d873652d0c572545337a36a7c53d791717d409f74840a6aed9fbd7b27","tiempo":"2026-11-04T19:27:30.000Z"},"nist":{"cadena":2,"pulso":2013424,"salida":"86C80ACED64A579E0F03CE33ED11F8503929AC2ADE24173BCEFC8129EA7CCC33FF612B08BC0903A5953D9E0592F3BEA701CF51D865E00C92EBC867B985CB8894","tiempo":"2026-11-04T19:26:00.000Z"},"noAntes":"2026-11-04T19:27:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Nov  4 19:27:59 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"AlphaFold 3 predicts complex immune interactions using protein sequences alone","descripcion":"Researchers at the Translational Genomics Research Institute (TGen), part of City of Hope, have developed a new approach using the artificial intelligence platform AlphaFold 3 to predict whether a T cell receptor will recognize a specific antigen based solely on its genetic sequence. The advancement could help scientists more rapidly decode immune responses to infectious diseases, tumors and other health threats.","pubDate":"Wed, 04 Nov 2026 14:20:01 EST","url":"https://phys.org/news/2026-11-alphafold-complex-immune-interactions-protein.html"},"indexado":"2026-11-04T19:27:52.576Z"}}