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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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The Equilibrium Binding Constant and Binding Strength02:18

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The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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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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Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
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¿Qué tan robusto es el estado de transición de unión de ligandos?

Samik Bose1, Samuel D Lotz1, Indrajit Deb1

  • 1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan 48824, United States.

Journal of the American Chemical Society
|November 9, 2023
PubMed
Resumen

Los modelos computacionales predicen la eficacia del fármaco utilizando la cinética de unión. Los investigadores simularon la desvinculación del ligando para los inhibidores de la hidrolasa de epóxido soluble (sEH), revelando desafíos para el diseño de fármacos basados en la cinética.

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Área de la Ciencia:

  • Química computacional
  • La biofísica
  • Farmacología

Sus antecedentes:

  • La eficacia del fármaco a menudo se predice mejor por la cinética de unión del fármaco (en tasa, fuera de tasa) que por la termodinámica sola.
  • La optimización de los compuestos farmacológicos requiere modelos computacionales predictivos basados en la cinética.
  • Comprender los estados de transición de unión de ligandos es crucial para estos modelos, a pesar de su corta vida útil.

Objetivo del estudio:

  • Modelado computacional de los eventos de desvinculación de ligandos para los inhibidores de la epoxida hidrolasa soluble (sEH).
  • Para analizar conjuntos de estado de transición de unión de ligandos (TSEs) para inhibidores con tiempos de residencia variables.
  • Identificar los retos y las oportunidades para el diseño de fármacos basados en la cinética.

Principales métodos:

  • Se utilizó el método de ensamblaje ponderado REVO (re muestreo de conjuntos por optimización de variación).
  • Caminos de desvinculación simulados para cinco inhibidores de la sEH con tiempos de permanencia de 14,25 a 31,75 minutos.
  • Análisis de conjuntos desvinculantes, centrándose en las características del conjunto de estado de transición y las interacciones proteína-ligando.

Principales resultados:

  • Se ha logrado una precisión media de predicción dentro de un orden de magnitud para los tiempos de residencia.
  • Se observaron diferencias significativas en las EET (distribución espacial, interacciones proteína-ligando) para los ligandos con posiciones de unión similares.
  • Identificación de puntos en común en las EET al considerar características generales como los grados de libertad de los ligandos.

Conclusiones:

  • Los conjuntos de estado de transición de unión de ligandos exhiben un comportamiento complejo, que varía incluso para posturas unidas similares.
  • Las características generales como los grados de libertad de los ligandos muestran similitudes en diferentes EET.
  • Sigue habiendo desafíos significativos para el diseño racional de fármacos basado en la cinética debido a la complejidad de los estados de transición.