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Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
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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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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Atoms and molecules interact through bonds (or forces): intramolecular and intermolecular. The forces are electrostatic as they arise from interactions (attractive or repulsive) between charged species (permanent, partial, or temporary charges) and exist with varying strengths between ions, polar, nonpolar, and neutral molecules. The different types of intermolecular forces are ion–dipole, dipole–dipole, hydrogen bonds, and dispersion; among these, dipole–dipole, hydrogen...
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Predicción basada en secuencias de interacciones intermoleculares impulsadas por regiones desordenadas

Garrett M Ginell1,2, Ryan J Emenecker1,2, Jeffrey M Lotthammer1,2

  • 1Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.

Science (New York, N.Y.)
|May 22, 2025
PubMed
Resumen

Desarrollamos FINCHES, un nuevo método para predecir cómo las regiones intrínsecamente desordenadas (IDR) en las proteínas interactúan con los socios. Este enfoque utiliza la física química para comprender estas interacciones dinámicas y químicamente específicas solo a partir de secuencias de proteínas.

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Área de la Ciencia:

  • La bioquímica
  • Biología estructural
  • Biología computacional

Sus antecedentes:

  • Las regiones intrínsecamente desordenadas (IDR) son cruciales para las funciones celulares.
  • Los IDR interactúan con los socios a través de interacciones químicamente específicas, formando complejos dinámicos y desordenados.
  • La predicción de estas interacciones específicas es un desafío debido a su naturaleza no canónica.

Objetivo del estudio:

  • Desarrollar un método predictivo para la especificidad química de las interacciones entre los IDR y las proteínas asociadas.
  • Para utilizar los principios de la física química y las simulaciones moleculares para esta predicción.
  • Para utilizar sólo la secuencia de proteínas como entrada para la predicción.

Principales métodos:

  • Principios de la física química reutilizados de las simulaciones moleculares.
  • Se aplicó el enfoque FINCHES para predecir las interacciones entre IDR y los socios.
  • Se utilizó la secuencia de proteínas como único dato de entrada.

Principales resultados:

  • FINCHES permite la predicción directa de los diagramas de fase para las interacciones entre IDR y los socios.
  • Puntos de interacción químicamente específicos identificados dentro de las IDR.
  • Facilitó la descomposición de los IDR en dominios funcionales químicamente distintos.

Conclusiones:

  • FINCHES proporciona una nueva ruta computacional para comprender y predecir el reconocimiento molecular de IDR.
  • El método ayuda a desarrollar y probar hipótesis mecanicistas para la función IDR.
  • Este enfoque mejora nuestra capacidad para estudiar las interacciones dinámicas de proteínas cruciales para los procesos celulares.