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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
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Entropy and the Second Law of Thermodynamics01:20

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The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
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Entropía local en proteínas

Patrick Senet1, Adrien Guzzo2, Patrice Delarue1

  • 1Laboratoire Interdisciplinaire Carnot de Bourgogne ICB, UMR 6303, Université Bourgogne Europe, CNRS F-21000 Dijon France psenet@ube.fr +33 (0)3 80396132 +33 (0)3 80396130.

Chemical science
|January 26, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos una métrica de entropía local para cuantificar la complejidad estructural de las proteínas. Este método revela cómo la temperatura y las mutaciones alteran la dinámica de las proteínas y los conjuntos conformacionales.

Palabras clave:
entropía localcomplejidad estructuraldinámica de proteínasmutacionesensambles conformacionalesbiología estructuralbiofísica computacional

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Área de la Ciencia:

  • Dinámica de proteínas y biología estructural
  • Biofísica computacional

Sus antecedentes:

  • Las proteínas existen como ensambles dinámicos, pero no se comprende bien cómo la temperatura y las mutaciones afectan a estos ensambles.
  • Los métodos existentes para medir las fluctuaciones de las proteínas tienen limitaciones.

Objetivo del estudio:

  • Introducir una nueva métrica de entropía local para cuantificar la complejidad estructural de las proteínas.
  • Investigar el impacto de la temperatura y las mutaciones en los ensambles conformacionales de las proteínas.

Principales métodos:

  • Se desarrolló una métrica de entropía local basada en la entropía de Shannon y los subestados accesibles derivados de grafos.
  • Se utilizaron simulaciones de dinámica molecular para la proteína gpW y la alfa-sinucleína.
  • Se analizaron curvas de entropía específicas de residuos y se compararon con otras medidas de fluctuación.

Principales resultados:

  • La entropía local muestra una transición brusca cerca del punto de fusión para la proteína gpW.
  • La entropía específica de residuos revela distintos patrones de desplegamiento dependientes de la escala espacial.
  • La entropía local captura características únicas distintas del volumen accesible y la entropía de empaquetamiento.
  • Las mutaciones de la enfermedad de Parkinson en la alfa-sinucleína reducen la entropía local y alteran regiones distantes.

Conclusiones:

  • La entropía local proporciona una medida continua de la complejidad estructural en varios estados de proteínas.
  • Esta métrica captura la remodelación de los ensambles conformacionales por la temperatura y las mutaciones.
  • La entropía local se correlaciona con observables de RMN y ofrece un marco generalizable para cuantificar el desorden de las proteínas.