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Determination of Protein-ligand Interactions Using Differential Scanning Fluorimetry
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Temperature artifacts in protein structures bias ligand-binding predictions.

Shanshan Y C Bradford1, Léa El Khoury2, Yunhui Ge2

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Room temperature X-ray crystallography reveals protein conformations missed at cryogenic temperatures, impacting ligand discovery and computational predictions. Cryo-artifacts can conceal errors, misleading drug development.

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Area of Science:

  • Structural Biology
  • Computational Chemistry
  • Biophysics

Background:

  • X-ray crystallography is crucial for understanding protein function and drug discovery.
  • Cryogenic (cryo) temperatures are standard for data collection, but may miss functionally relevant protein conformations.
  • Room temperature (RT) data collection may reveal alternative states important for biological activity.

Purpose of the Study:

  • To investigate the impact of temperature on protein structure and ligand binding.
  • To assess how temperature-induced structural changes affect computational predictions.
  • To evaluate the reliability of cryo-structures for computational validation.

Main Methods:

  • Systematic investigation of T4 lysozyme L99A cavity under varying temperatures and ligand-bound states.
  • Structural analysis of apo and ligand-bound conformations at cryo and RT.
  • Evaluation of computational methods (docking, binding free energy calculations) using cryo and RT structural data.

Main Results:

  • Shifting from cryo to RT revealed new global and local structural changes in T4 lysozyme.
  • An apo helix conformation, hidden at cryo, was uncovered and found relevant for ligand binding.
  • Temperature significantly influenced side chain and ligand conformations, impacting computational predictions.
  • Cryo-artifacts were found to limit the utility of structures for computational validation across multiple protein classes.

Conclusions:

  • Cryogenic data collection can miss important protein conformations, potentially hindering ligand discovery.
  • Temperature artifacts in cryo-structures can mislead computational methods, affecting drug design and development.
  • Consulting only cryogenic structural data requires caution due to potential concealed errors and computational prediction failures.