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Termination of Translation01:44

Termination of Translation

27.8K
The large ribosomal subunit has several important structures essential to translation. These include the peptidyl transferase center (PTC) - which is the site where the peptide bond is formed - and a large, internal, water-filled tube through which the nascent polypeptide moves. This latter structure is called the Peptide Exit Tunnel, and it begins at the PTC and spans the body of the large ribosomal subunit. During translation, as the nascent polypeptide chain is synthesized, it passes through...
27.8K
Improving Translational Accuracy02:07

Improving Translational Accuracy

15.0K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.0K
Language01:16

Language

919
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
919
Translation01:31

Translation

157.1K
Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of...
157.1K
Translation01:31

Translation

17.9K
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are...
17.9K
Initiation of Translation02:33

Initiation of Translation

39.1K
Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
39.1K

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A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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MedCOD: Mejorar la traducción médica de inglés a español de grandes modelos lingüísticos utilizando el marco de

Md Shahidul Salim1,2, Lian Fu3, Arav Adikesh Ramakrishnan3

  • 1Center for Healthcare Organization and Implementation Research, VA Bedford Health Care.

Findings of ACL. EMNLP. Conference on Empirical Methods in Natural Language Processing
|February 9, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos MedCOD, un marco que mejora la traducción médica del inglés al español mediante la integración del conocimiento médico estructurado en modelos de lenguaje grande (LLM). Este enfoque aumenta significativamente la calidad de la traducción a través de varios modelos.

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Área de la Ciencia:

  • La informática médica es la informática médica.
  • Procesamiento del lenguaje natural.
  • La lingüística computacional es la lingüística computacional.

Sus antecedentes:

  • Una traducción médica precisa es crucial para el acceso global a la atención médica.
  • Los Grandes Modelos de Lenguaje (LLM) son prometedores, pero luchan con la terminología médica específica del dominio.
  • Los métodos de traducción existentes carecen de una integración robusta del conocimiento médico estructurado.

Objetivo del estudio:

  • Introducir MedCOD (Medical Chain-of-Dictionary), un nuevo marco híbrido para mejorar la traducción médica del inglés al español.
  • Mejorar los LLM mediante la integración del conocimiento estructurado del dominio de los paradigmas UMLS y LLM-KB.
  • Evaluar la efectividad de MedCOD en la mejora de la calidad de la traducción a través de múltiples LLMs de código abierto.

Principales métodos:

  • Construido un corpus paralelo de 2.999 artículos MedlinePlus en inglés y español.
  • Desarrolló un conjunto de pruebas de 100 oraciones con contextos médicos estructurados.
  • Empleó un mensaje estructurado con variantes multilingües, sinónimos y definiciones UMLS.
  • Utilizado ajuste fino basado en LoRA en cuatro LLM de código abierto (Phi-4, Qwen2.5-14B, Qwen2.5-7B, LLaMA-3.1-8B).

Principales resultados:

  • MedCOD mejoró significativamente la calidad de la traducción en todos los LLMs evaluados.
  • Phi-4 con MedCOD y ajuste fino logró puntuaciones superiores en BLEU (44.23), chrF++ (28.91) y COMET (0.863).
  • Tanto el llamado de MedCOD como la adaptación del modelo mejoraron el rendimiento de forma independiente, y el uso combinado produjo ganancias máximas.
  • El rendimiento superó a los modelos de referencia fuertes como GPT-4o y GPT-4o-mini.

Conclusiones:

  • La integración estructurada del conocimiento a través de MedCOD mejora sustancialmente el rendimiento de LLM para la traducción médica.
  • El marco MedCOD ofrece una estrategia viable para mejorar la precisión y confiabilidad de la traducción del idioma médico.
  • Este enfoque tiene un potencial significativo para el avance de las aplicaciones de IA en la comunicación de salud global.