Representation of target-bound drugs by computed conformers: implications for conformational libraries
2006

How Drugs Change Shape When Binding to Proteins

Sample size: 193 publication Evidence: moderate

Author Information

Author(s): Günther Stefan, Senger Christian, Michalsky Elke, Goede Andrean, Preissner Robert

Primary Institution: Institute for Biochemistry, Charité

Hypothesis

How well is a bound drug represented by a limited number of computed conformers?

Conclusion

Single drugs adopt multiple bioactive conformations if they interact with different target proteins.

Supporting Evidence

  • 70% of drugs are represented by a generated conformer with a root mean square deviation (rmsd) lower than 1 Å.
  • The majority of drugs is well represented by a predefined low number of conformers (up to 100).
  • 46% of the inspected drugs are assigned to more than one computed conformer indicating multiple bioactive states.

Takeaway

Drugs can change their shape when they attach to different proteins, and we can use a small number of shapes to understand how they work.

Methodology

The study involved generating 9600 drug conformers and comparing them to 193 approved drugs to assess how well they represent the bound states.

Limitations

The study may not account for all possible conformations due to the limitations of the conformer generation methods.

Digital Object Identifier (DOI)

10.1186/1471-2105-7-293

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