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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Protein Organization01:13

Protein Organization

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Overview
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Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
14.0K
Protein Complex Assembly02:41

Protein Complex Assembly

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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
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Decoding Natural Behavior from Neuroethological Embedding
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Embeddings de proteínas y alineamientos locales

Julia Malec1, G Brian Golding2, Lucian Ilie1

  • 1Department of Computer Science, University of Western Ontario, London, N6A 5B7, Ontario, Canada.

Computational and structural biotechnology journal
|January 8, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo algoritmo que utiliza embeddings de Ankh mejora significativamente la precisión del alineamiento local de proteínas. Este método basado en Ankh-score supera a las herramientas existentes, ofreciendo un enfoque superior para el análisis de secuencias bioinformáticas.

Palabras clave:
AnkhSimilitud distanteAlineamiento localProtT5Embeddings de proteínasSecuencias de proteínas

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Área de la Ciencia:

  • Bioinformática
  • Biología Computacional
  • Análisis de Secuencias de Proteínas

Sus antecedentes:

  • Los embeddings de proteínas proporcionan representaciones contextuales cruciales para la bioinformática, complementando los alineamientos de secuencias tradicionales.
  • Si bien existen mejoras basadas en embeddings para alineamientos globales, la optimización de alineamientos locales sigue estando poco explorada.
  • El alineamiento local preciso es vital para comprender la función y la evolución de las proteínas.

Objetivo del estudio:

  • Identificar el algoritmo de alineamiento local más preciso para secuencias de proteínas.
  • Introducir y validar una nueva función de puntuación para el alineamiento local de proteínas utilizando embeddings de Ankh.

Principales métodos:

  • Desarrolló un nuevo algoritmo que incorpora embeddings de Ankh en el marco E-score.
  • Creó un marco de evaluación integral con un nuevo algoritmo para la extracción, localización y evaluación de la calidad del alineamiento local.
  • Utilizó cinco métricas de distancia y múltiples conjuntos de datos (CDD, BAliBASE, GPCRdb) para pruebas rigurosas, realizando más de 2.5 millones de comparaciones.

Principales resultados:

  • El algoritmo basado en Ankh-score demuestra una precisión superior en el alineamiento local de proteínas en comparación con los métodos existentes, incluidas las matrices BLOSUM, GPCRtm, PEbA, DEDAL, vcMSA y pLM-BLAST.
  • El análisis reveló un rendimiento diferencial de los modelos de lenguaje de proteínas en secuencias naturales versus artificiales.
  • Los embeddings de Ankh mostraron un beneficio limitado cuando se combinaron con otros tipos de embeddings.

Conclusiones:

  • El programa basado en Ankh-score representa un avance significativo, superando a todos los métodos de alineamiento local actuales.
  • Los hallazgos ofrecen nuevas perspectivas sobre los embeddings de proteínas, guiando la investigación y el desarrollo futuros.
  • El método y el protocolo están disponibles públicamente a través de un servidor web y código fuente para una mayor accesibilidad.