title: Dynamic allostery in the methionine repressor revealed by force distribution analysis.
abstract: Many fundamental cellular processes such as gene expression are tightly regulated by protein allostery. Allosteric signal propagation from the regulatory to the active site requires long-range communication, the molecular mechanism of which remains a matter of debate. A classical example for long-range allostery is the activation of the methionine repressor MetJ, a transcription factor. Binding of its co-repressor SAM increases its affinity for DNA several-fold, but has no visible conformational effect on its DNA binding interface. Our molecular dynamics simulations indicate correlated domain motions within MetJ, and quenching of these dynamics upon SAM binding entropically favors DNA binding. From monitoring conformational fluctuations alone, it is not obvious how the presence of SAM is communicated through the largely rigid core of MetJ and how SAM thereby is able to regulate MetJ dynamics. We here directly monitored the propagation of internal forces through the MetJ structure, instead of relying on conformational changes as conventionally done. Our force distribution analysis successfully revealed the molecular network for strain propagation, which connects collective domain motions through the protein core. Parts of the network are directly affected by SAM binding, giving rise to the observed quenching of fluctuations. Our results are in good agreement with experimental data. The force distribution analysis suggests itself as a valuable tool to gain insight into the molecular function of a whole class of allosteric proteins.
authors: CAS-MPG Partner Institute for Computational Biology, Key laboratory of Computational Biology, Chinese Academy of Sciences, Shanghai, China.
authors: Wolfram
authors: W
authors: Stacklies
authors: Fei
authors: F
authors: Xia
authors: Frauke
authors: F
authors: Gräter
mesh_terms: D000495:Allosteric Site; D001426:Bacterial Proteins / Q000737:chemistry; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D004247:DNA / Q000737:chemistry; D019281:Dimerization; D019277:Entropy; D004926:Escherichia coli / Q000378:metabolism*; D029968:Escherichia coli Proteins / Q000737:chemistry*; D008958:Models, Molecular; D008968:Molecular Conformation; D016011:Normal Distribution; D011485:Protein Binding; D012097:Repressor Proteins / Q000737:chemistry*; D013314:Stress, Mechanical; D013816:Thermodynamics
chemical_list: D001426:Bacterial Proteins; D029968:Escherichia coli Proteins; D012097:Repressor Proteins; C060486:methionine repressor protein, Bacteria; C489220:methionine repressor protein, E coli; D004247:DNA