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Role of extracellular glutamic acids in the stability and energy landscape of bacteriorhodopsin.

ABSTRACT: Bacteriorhodopsin (BR), a specialized nanomachine, converts light energy into a proton gradient to power Halobacterium salinarum. In this work, we analyze the mechanical stability of a BR triple mutant in which three key extracellular residues, Glu(9), Glu(194), and Glu(204), were mutated simultaneously to Gln. These three Glu residues are involved in a network of hydrogen bonds, in cation binding, and form part of the proton release pathway of BR. Changes in these features and the robust photocycle dynamics of wild-type (WT) BR are apparent when the three extracellular Glu residues are mutated to Gln. It is speculated that such functional changes of proteins go hand in hand with changes in their mechanical properties. Here, we apply single-molecule dynamic force spectroscopy to investigate how the Glu to Gln mutations change interactions, reaction pathways, and the energy barriers of the structural regions of WT BR. The altered heights and positions of individual energy barriers unravel the changes in the mechanical and the unfolding kinetic properties of the secondary structures of WT BR. These changes in the mechanical unfolding energy landscape cause the proton pump to choose unfolding pathways differently. We suggest that, in a similar manner, the changed mechanical properties of mutated BR alter the functional energy landscape favoring different reaction pathways in the light-induced proton pumping mechanism.

SUBMITTER: Sapra KT

PROVIDER: S-EPMC2547453 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature

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Role of extracellular glutamic acids in the stability and energy landscape of bacteriorhodopsin.

Sapra K Tanuj KT Doehner Jana J Renugopalakrishnan V V Padrós Esteve E Muller Daniel J DJ

Biophysical journal 20080711 7

Bacteriorhodopsin (BR), a specialized nanomachine, converts light energy into a proton gradient to power Halobacterium salinarum. In this work, we analyze the mechanical stability of a BR triple mutant in which three key extracellular residues, Glu(9), Glu(194), and Glu(204), were mutated simultaneously to Gln. These three Glu residues are involved in a network of hydrogen bonds, in cation binding, and form part of the proton release pathway of BR. Changes in these features and the robust photoc ...[more]

PMID: 18621827

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Project description:Uncovering the underlying biophysical principles of emergent collective computational abilities, such as working memory, in neural circuits is one of the most essential concerns in modern neuroscience. Working memory system is often desired to be robust against noises. Such systems can be highly flexible for adapting environmental demands. How neural circuits reconfigure themselves according to the cognitive task requirement remains unclear. Previous studies explored the robustness and the flexibility in working memory by tracing individual dynamical trajectories in a limited time scale, where the accuracy of the results depends on the volume of the collected statistical data. Inspired by thermodynamics and statistical mechanics in physical systems, we developed a non-equilibrium landscape and flux framework for studying the neural network dynamics. Applying this approach to a biophysically based working memory model, we investigated how changes in the recurrent excitation mediated by slow NMDA receptors within a selective population and mutual inhibition mediated by GABAergic interneurons between populations affect the robustness against noises. This is realized through quantifying the underlying non-equilibrium potential landscape topography and the kinetics of state switching. We found that an optimal compromise for a working memory circuit between the robustness and the flexibility can be achieved through the emergence of an intermediate state between the working memory states. An optimal combination of both increased self-excitation and inhibition can enhance the flexibility to external signals without significantly reducing the robustness to the random fluctuations. Furthermore, we found that the enhanced performance in working memory is supported by larger energy consumption. Our approach can facilitate the design of new network structure for cognitive functions with the optimal balance between performance and cost. Our work also provides a new paradigm for exploring the underlying mechanisms of many cognitive functions based on non-equilibrium physics.

Dataset Information

Role of extracellular glutamic acids in the stability and energy landscape of bacteriorhodopsin.

Publications

Role of extracellular glutamic acids in the stability and energy landscape of bacteriorhodopsin.

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