PREMIO NOBEL DE QUÍMICA 2024 A LOS AVANCES EN LA COMPUTARIZACIÓN DEL DISEÑO Y PREDICCIÓN DE ESTRUCTURAS DE LAS PROTEÍNAS.
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| Title: | PREMIO NOBEL DE QUÍMICA 2024 A LOS AVANCES EN LA COMPUTARIZACIÓN DEL DISEÑO Y PREDICCIÓN DE ESTRUCTURAS DE LAS PROTEÍNAS. |
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| Authors: | AZURMENDI, PABLO J.1 azurmendi.pablo@lanari.uba.ar, LÜTHY, ISABEL A.2 i.luthy@ibyme.org.ar |
| Source: | Medicina (Buenos Aires). 2024, Vol. 84 Issue 6, p1187-1190. 4p. |
| Subjects: | PROTEIN structure, PROTEIN structure prediction, BIOTECHNOLOGY, ARTIFICIAL intelligence, BIOCHEMISTRY, COMPUTER-aided design, NOBEL Prizes |
| Abstract (English): | The article focuses on the awarding of the 2024 Nobel Prize in Chemistry to David Baker, Demis Hassabis, and John Jumper for their advances in computational design and the prediction of protein structures. It highlights the importance of the three-dimensional structure of proteins for their biological function and how, through artificial intelligence tools such as AlphaFold and Rosetta, it has been possible to predict these structures with high accuracy from amino acid sequences. Additionally, it emphasizes the design of entirely new proteins and artificial enzymes with biotechnological and biomedical applications. These developments represent a significant advance in biochemical research and open new possibilities in the study and manipulation of proteins. [Extracted from the article] |
| Abstract (Spanish): | El artículo se centra en la concesión del Premio Nobel de Química 2024 a David Baker, Demis Hassabis y John Jumper por sus avances en el diseño computacional y la predicción de estructuras proteicas. Destaca la importancia de la estructura tridimensional de las proteínas para su función biológica y cómo, mediante herramientas de inteligencia artificial como AlphaFold y Rosetta, se ha logrado predecir con alta precisión estas estructuras a partir de secuencias de aminoácidos. Además, se resalta el diseño de proteínas completamente nuevas y enzimas artificiales con aplicaciones biotecnológicas y biomédicas. Estos desarrollos representan un avance significativo en la investigación bioquímica y abren nuevas posibilidades en el estudio y manipulación de proteínas. [Extracted from the article] |
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| Database: | MedicLatina |
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| Abstract: | The article focuses on the awarding of the 2024 Nobel Prize in Chemistry to David Baker, Demis Hassabis, and John Jumper for their advances in computational design and the prediction of protein structures. It highlights the importance of the three-dimensional structure of proteins for their biological function and how, through artificial intelligence tools such as AlphaFold and Rosetta, it has been possible to predict these structures with high accuracy from amino acid sequences. Additionally, it emphasizes the design of entirely new proteins and artificial enzymes with biotechnological and biomedical applications. These developments represent a significant advance in biochemical research and open new possibilities in the study and manipulation of proteins. [Extracted from the article] |
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| ISSN: | 00257680 |
