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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

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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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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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Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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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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Conserved Binding Sites01:49

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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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Ligand Binding and Linkage00:49

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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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Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
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Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

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Adaptive simulations, towards interactive protein-ligand modeling.

Daniel Lecina1, Joan F Gilabert1, Victor Guallar2,3

  • 1Barcelona Supercomputing Center (BSC), Jordi Girona 29, E-08034, Barcelona, Spain.

Scientific Reports
|August 18, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel adaptive reinforcement learning and Monte Carlo method for rapid, accurate protein-ligand binding simulations. This technology significantly accelerates computational biophysics, aiding drug design by reducing simulation times from days to minutes.

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Area of Science:

  • Computational Biophysics
  • Drug Design
  • Molecular Dynamics

Background:

  • Atomistic simulations are crucial for modeling protein-ligand binding dynamics in drug discovery.
  • Current methods for detailed binding mechanism simulations are computationally expensive, limiting their application in the pharmaceutical industry.

Purpose of the Study:

  • To develop a fast and accurate computational method for simulating protein-ligand binding dynamics.
  • To overcome the computational bottlenecks hindering the use of protein dynamics modeling in drug design.

Main Methods:

  • An adaptive reinforcement learning procedure combined with Monte Carlo sampling.
  • Utilized modern multi-core computational resources for enhanced performance.
  • Applied the method to complex biological targets like nuclear hormone receptors and GPCRs.

Main Results:

  • Achieved remarkable performance in mapping protein-ligand energy landscapes.
  • Successfully reproduced full binding mechanisms in under 30 minutes.
  • Determined active site induced fit in under 5 minutes.

Conclusions:

  • The developed adaptive technique offers a game-changing solution for fast and reliable protein dynamics simulations.
  • This method has significant potential for accelerating screening and lead optimization studies in pharmaceutical research.