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Enhancing the mechanical stability of proteins through a cocktail approach.

ABSTRACT: Rationally enhancing the mechanical stability of proteins remains a challenge in the field of single molecule force spectroscopy. Here we demonstrate that it is feasible to use a "cocktail" approach for combining more than one approach to enhance significantly the mechanical stability of proteins in an additive fashion. As a proof of principle, we show that metal chelation and protein-protein interaction can be combined to enhance the unfolding force of a protein to ?450 pN, which is >3 times of its original value. This is also higher than the mechanical stability of most of proteins studied so far. We also extend such a cocktail concept to combine two different metal chelation sites to enhance protein mechanical stability. This approach opens new avenues to efficiently regulating the mechanical properties of proteins, and should be applicable to a wide range of elastomeric proteins.

SUBMITTER: Cao Y

PROVIDER: S-EPMC3072662 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

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Enhancing the mechanical stability of proteins through a cocktail approach.

Cao Yi Y Li Yongnan Devin YD Li Hongbin H

Biophysical journal 20110401 7

Rationally enhancing the mechanical stability of proteins remains a challenge in the field of single molecule force spectroscopy. Here we demonstrate that it is feasible to use a "cocktail" approach for combining more than one approach to enhance significantly the mechanical stability of proteins in an additive fashion. As a proof of principle, we show that metal chelation and protein-protein interaction can be combined to enhance the unfolding force of a protein to ∼450 pN, which is >3 times of ...[more]

PMID: 21463593

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Project description:Several computational techniques for solid-state applications have recently been proposed to enlarge the scope of computer simulations of large molecular systems. In this contribution, we focused on two of these, namely, HF-3c and PBEh-3c. They were recently proposed by the Grimme's group, as "low-cost" ab initio-based techniques for electronic structure calculation of large systems and were proved to be effective essentially for organic molecules. HF-3c is based on a Hartree-Fock Hamiltonian with a minimal Gaussian quality basis set, whereas PBEh-3c is a density functional theory (DFT) based method with a hybrid functional and a medium-quality basis set. Both HF-3c and PBEh-3c account for dispersion (London) interactions and are free from the basis set superposition error due to limited basis set size, through several pairwise semiempirical corrections. To the best of our knowledge, despite the promising results on the cost-accuracy side of molecular simulations of organic molecules, these methods have been used only in few cases for solid-state applications. In this contribution, we studied the performance of HF-3c and PBEh-3c for predicting the properties of inorganic crystals to enlarge the applicability of these cheap and fast methodologies. As a testing ground, we have chosen a well-known class of material, e.g., microporous all-silica zeolites. We benchmarked geometries, formation energies, vibrational features, and mechanical properties by comparing the results with literature data from both experiment and computer simulation. For structures, HF-3c is extremely accurate in predicting the zeolites cell volume, albeit we do not include any vibrational contribution, neither zero point nor thermal, on the computed volumes, which may introduce small variations in the predicted values. For the energetic, the relative stability of the zeolites using the DFT//HF-3c approach allows predictions within the experimental error for most of the cases taken into consideration when the experimental enthalpies were corrected back to electronic energies by using the HF-3c thermodynamic contributions computed in the harmonic approximation. This strategy is particularly convenient, as the slow step (geometry optimization) is carried out with the cheapest HF-3c method, whereas the fast step (single point energy evaluation) is carried out with costly DFT methods. In this sense, the use of the DFT//HF-3c approach results to be a promising one to predict the stability and structure of microporous materials. Finally, the HF-3c method predicts the mechanical properties of the zeolite set in reasonable agreement with respect to those computed with the state-of-the-art DFT simulations, indicating the HF-3c method as a possible technique for the mechanical stability screenings of microporous materials.

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Enhancing the mechanical stability of proteins through a cocktail approach.

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Enhancing the mechanical stability of proteins through a cocktail approach.

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