Michael Bakker · Bioinformatics & Pharmaceuticals
Understanding proteins
in motion.
I explore new possibilities for drug discovery by modeling disordered proteins, orphan nuclear receptors, and peptidomimetics—bringing molecular insight to challenging pharmaceutical questions.
Postdoctoral researcher · Charles University, Czech Republic

Research focus
Three unexplored paths.
One concentric goal.
Explore the Unexplored.
My research focuses on less-explored areas of pharmacology: diving into the dark proteome through intrinsically disordered proteins, seeking matches for orphan nuclear receptors, and devising new therapeutic strategies by mimicking protein interactions through peptidomimetics.

Dark Proteome
While much of the ordered protein machinery has been mapped, the Dark Proteome represents a significant challenge for targeted therapeutics.
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Undruggable Receptors
Many proteins represent a complex challenge for scientists, as not even a natural ligand has been found. Complex challenges require elegant solutions.
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Peptidomimetics
While small-molecule ligands are frequently tested in large quantities using HITS, peptidomimetics present a unique solution – hijacking biology itself.
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Michael Bakker · B.Sc., M.Sc., Ph.D.
Let’s connect.
I’m a postdoctoral researcher at Charles University in the Czech Republic, with ongoing collaborations with researchers in Germany, Sweden, and the United States. Interested in bioinformatics, pharmaceutical modeling, or protein dynamics? Get in touch to discuss ideas and potential collaborations.
Selected work
From simulations
to published insights.
Journal of Chemical Information and Modeling
Streamlining NMR Chemical Shift Predictions for Intrinsically Disordered Proteins: Design of Ensembles with Dimensionality Reduction and Clustering
Notes from the workflow
Writing & tools.
November 2025
Coarse-Grained Modeling - A Quick Guide
Read article →November 2025
Flexibility Matters: Challenges of Binding Disordered Regions
Read article →PyMOL · Visualization tools
Give your prolines
some style.
Explore the visualization guide and download the accompanying PyMOL script.