Dataset Information

Structural Energy Landscapes and Plasticity of the Microstates of Apo Escherichia coli cAMP Receptor Protein.

ABSTRACT: The theory for allostery has evolved to a modern energy landscape ensemble theory, the major feature of which is the existence of multiple microstates in equilibrium. The properties of microstates are not well defined due to their transient nature. Characterization of apo protein microstates is important because the specific complex of the ligand-bound microstate defines the biological function. The information needed to link biological function and structure is a quantitative correlation of the energy landscapes between the apo and holo protein states. We employed the Escherichia coli cAMP receptor protein (CRP) system to test the features embedded in the ensemble theory because multiple crystalline apo and holo structures are available. Small angle X-ray scattering data eliminated one of the three apo states but not the other two. We defined the underlying energy landscape differences among the apo microstates by employing the computation algorithm COREX/BEST. The same connectivity patterns among residues in apo CRP are retained upon binding of cAMP. The microstates of apo CRP differ from one another by minor structural perturbations, resulting in changes in the energy landscapes of the various domains of CRP. Using the differences in energy landscapes among these apo states, we computed the cAMP binding energetics that were compared with solution biophysical results. Only one of the three apo microstates yielded data consistent with the solution data. The relative magnitude of changes in energy landscapes embedded in various apo microstates apparently defines the ultimate outcome of the cooperativity of binding.

SUBMITTER: Chkheidze R

PROVIDER: S-EPMC7187730 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Structural Energy Landscapes and Plasticity of the Microstates of Apo <i>Escherichia coli</i> cAMP Receptor Protein.

Chkheidze Rati R Evangelista Wilfredo W White Mark A MA Yin Y Whitney YW Lee J Ching JC

Biochemistry 20200110 4

The theory for allostery has evolved to a modern energy landscape ensemble theory, the major feature of which is the existence of multiple microstates in equilibrium. The properties of microstates are not well defined due to their transient nature. Characterization of apo protein microstates is important because the specific complex of the ligand-bound microstate defines the biological function. The information needed to link biological function and structure is a quantitative correlation of the ...[more]

PMID: 31885251

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Project description:BackgroundNearly all cellular processes involve proteins structurally rearranging to accommodate molecular partners. The energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. In principle, reconstructing a protein's energy landscape holds the key to characterizing the structural dynamics and its regulation of protein function. In practice, the disparate spatio-temporal scales spanned by the slow dynamics challenge both wet and dry laboratories. However, the growing number of deposited structures for proteins central to human biology presents an opportunity to infer the relevant dynamics via exploitation of the information encoded in such structures about equilibrium dynamics.ResultsRecent computational efforts using extrinsic modes of motion as variables have successfully reconstructed detailed energy landscapes of several medium-size proteins. Here we investigate the extent to which one can reconstruct the energy landscape of a protein in the absence of sufficient, wet-laboratory structural data. We do so by integrating intrinsic modes of motion extracted off a single structure in a stochastic optimization framework that supports the plug-and-play of different variable selection strategies. We demonstrate that, while knowledge of more wet-laboratory structures yields better-reconstructed landscapes, precious information can be obtained even when only one structural model is available.ConclusionsThe presented work shows that it is possible to reconstruct the energy landscape of a protein with reasonable detail and accuracy even when the structural information about the protein is limited to one structure. By attenuating the dependence on structural data of methods designed to compute protein energy landscapes, the work opens up interesting venues of research on structure-based inference of dynamics. Of particular interest are directions of research that will extend such inference to proteins with no experimentally-characterized structures.

Dataset Information

Structural Energy Landscapes and Plasticity of the Microstates of Apo Escherichia coli cAMP Receptor Protein.

Publications

Structural Energy Landscapes and Plasticity of the Microstates of Apo <i>Escherichia coli</i> cAMP Receptor Protein.

Similar Datasets

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