Protein Structure and Dynamics

Proteins carry out virtually every functional task in living cells, and how they do so depends on the three-dimensional shapes they fold into and the movements they make over time. Researchers use techniques ranging from molecular dynamics simulations and homology modeling to experimental methods like circular dichroism to determine, predict, and validate these structures at atomic resolution. A persistent challenge is understanding proteins that never settle into a fixed shape—intrinsically disordered proteins whose flexibility appears central to signaling and regulation—as well as capturing how the dense, crowded environment of the cell alters protein behavior compared to dilute laboratory conditions. Advances in structure prediction, most visibly through machine learning tools, have accelerated progress, but accurately linking structural snapshots to function, catalytic mechanism, and disease remain active and open problems.

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Keywords

ProteinStructurePredictionMolecular DynamicsForce FieldHomology Modeling