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Videos de Conceptos Relacionados

Catalysis02:50

Catalysis

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The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
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Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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Factors Influencing the Rate of Chemical Reactions01:22

Factors Influencing the Rate of Chemical Reactions

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A variety of factors influence the rate of chemical reactions. For a chemical reaction to happen, atoms must collide with enough energy to overcome the repulsion between their electrons. This energy is called activation energy. Factors influencing the rate of reaction either lower the activation energy or increase the likelihood of a successful collision.
Concentration and Pressure:
The more particles present within a given space, the more likely those particles are to bump into one another....
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Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
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Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Enzymes02:34

Enzymes

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Inside living organisms, enzymes act as catalysts for many biochemical reactions involved in cellular metabolism. The role of enzymes is to reduce the activation energies of biochemical reactions by forming complexes with its substrates. The lowering of activation energies favor an increase in the rates of biochemical reactions.
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Video Experimental Relacionado

Updated: Feb 22, 2026

In Situ SIMS and IR Spectroscopy of Well-defined Surfaces Prepared by Soft Landing of Mass-selected Ions
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Potenciación de la catálisis computacional y la reactividad química con inteligencia artificial

Konstantinos D Vogiatzis1, Clémence Corminboeuf2, Ainara Nova3,4

  • 1Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States.

Journal of the American Chemical Society
|February 20, 2026
PubMed
Resumen

La inteligencia artificial (IA) y el aprendizaje automático (ML) están revolucionando la química computacional para un descubrimiento de catalizadores más rápido. La integración de la IA con la experiencia humana acelerará la comprensión química y el diseño de catalizadores.

Palabras clave:
Inteligencia artificialAprendizaje automáticoCatálisis computacionalDescubrimiento de catalizadoresDiseño de catalizadoresQuímica computacionalReactividad química

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Área de la Ciencia:

  • Química computacional
  • Inteligencia artificial
  • Aprendizaje automático

Sus antecedentes:

  • La inteligencia artificial (IA) y el aprendizaje automático (ML) son cada vez más influyentes en la química computacional.
  • Estas tecnologías ofrecen enfoques novedosos para acelerar el descubrimiento de catalizadores y mejorar la comprensión de la reactividad química.

Objetivo del estudio:

  • Destacar las metodologías emergentes de IA/ML que transforman la catálisis computacional.
  • Discutir los desafíos y oportunidades en la aplicación de la IA al diseño de catalizadores.
  • Enfatizar la sinergia entre la intuición humana y los enfoques impulsados por la IA.

Principales métodos:

  • Potenciales de aprendizaje automático
  • Aprendizaje por refuerzo
  • IA generativa
  • Modelos de lenguaje grandes
  • Construcción de conjuntos de datos para resultados de reactividad

Principales resultados:

  • Los métodos de IA/ML están preparados para transformar la catálisis computacional.
  • Los desafíos incluyen el desarrollo de representaciones moleculares para complejos de metales de transición y la vinculación de la comprensión mecanicista con la IA.
  • Son cruciales conjuntos de datos fiables que capturen tanto la reactividad exitosa como la fallida.

Conclusiones:

  • El futuro de la catálisis computacional implica equilibrar la intuición humana con el poder algorítmico.
  • La IA debe verse como un acelerador, no como un reemplazo, de la comprensión química y el diseño de catalizadores.
  • La integración de la IA con la experiencia experimental y computacional es clave.