2LC9 image
Entry Detail
PDB ID:
2LC9
Keywords:
Title:
Solution Structure of a Minor and Transiently Formed State of a T4 Lysozyme Mutant
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2011-04-26
Release Date:
2011-08-17
Method Details:
Experimental Method:
Conformers Calculated:
9600
Conformers Submitted:
10
Selection Criteria:
Two Step Selection Criteria based on chemical shift score and Rosetta energy
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Lysozyme
Mutations:C54T, C97A, L99A, G113A, R119P
Chain IDs:A
Chain Length:164
Number of Molecules:1
Biological Source:Enterobacteria phage T4
Ligand Molecules
Primary Citation
Solution structure of a minor and transiently formed state of a T4 lysozyme mutant.
Nature 477 111 114 (2011)
PMID: 21857680 DOI: 10.1038/nature10349

Abstact

Proteins are inherently plastic molecules, whose function often critically depends on excursions between different molecular conformations (conformers). However, a rigorous understanding of the relation between a protein's structure, dynamics and function remains elusive. This is because many of the conformers on its energy landscape are only transiently formed and marginally populated (less than a few per cent of the total number of molecules), so that they cannot be individually characterized by most biophysical tools. Here we study a lysozyme mutant from phage T4 that binds hydrophobic molecules and populates an excited state transiently (about 1 ms) to about 3% at 25 °C (ref. 5). We show that such binding occurs only via the ground state, and present the atomic-level model of the 'invisible', excited state obtained using a combined strategy of relaxation-dispersion NMR (ref. 6) and CS-Rosetta model building that rationalizes this observation. The model was tested using structure-based design calculations identifying point mutants predicted to stabilize the excited state relative to the ground state. In this way a pair of mutations were introduced, inverting the relative populations of the ground and excited states and altering function. Our results suggest a mechanism for the evolution of a protein's function by changing the delicate balance between the states on its energy landscape. More generally, they show that our approach can generate and validate models of excited protein states.

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Primary Citation of related structures