PubMed Health⌕ Search

Biomedical subjects

Alexander L Tournier

Publications and source records attributed to Alexander L Tournier.

4 recordsLinked to original sources

Probability-based model of protein-protein interactions on biological timescales.

BACKGROUND: Simulation methods can assist in describing and understanding complex networks of interacting proteins, providing fresh insights into the function and regulation of biological systems. Recent studies have investigated such processes by explicitly modelling the diffusion and interactions of individual molecules. In these approaches, two entities are considered to have interacted if they come within a set cutoff distance of each other. RESULTS: In this study, a new model of bimolecular interactions is presented that uses a simple, probability-based description of the reaction process. This description is well-suited to simulations on timescales relevant to biological systems (from seconds to hours), and provides an alternative to the previous description given by Smoluchowski. In the present approach (TFB) the diffusion process is explicitly taken into account in generating the probability that two freely diffusing chemical entities will interact within a given time interval. It is compared to the Smoluchowski method, as modified by Andrews and Bray (AB). CONCLUSION: When implemented, the AB & TFB methods give equivalent results in a variety of situations relevant to biology. Overall, the Smoluchowski method as modified by Andrews and Bray emerges as the most simple, robust and efficient method for simulating biological diffusion-reaction processes currently available.

Journal Article↗

Principal components of the protein dynamical transition.

Proteins exhibit a solvent-driven dynamical transition at 180-220 K, manifested by nonlinearity in the temperature dependence of the average mean-square displacement. Here, molecular dynamics simulations of hydrated myoglobin show that the onset of the transition at approximately 180 K is characterized by the appearance of a single double-well principal component mode involving a global motion of two groups of helices. As the temperature is raised a few more quasiharmonic and multiminimum components successively appear. The results indicate an underlying simplicity in the protein dynamical transition.

Computer Simulation↗

Translational hydration water dynamics drives the protein glass transition.

Experimental and computer simulation studies have revealed the presence of a glass-like transition in the internal dynamics of hydrated proteins at approximately 200 K involving an increase of the amplitude of anharmonic dynamics. This increase in flexibility has been correlated with the onset of protein activity. Here, we determine the driving force behind the protein transition by performing molecular dynamics simulations of myoglobin surrounded by a shell of water. A dual heat bath method is used with which, in any given simulation, the protein and solvent are held at different temperatures, and sets of simulations are performed varying the temperature of the components. The results show that the protein transition is driven by a dynamical transition in the hydration water that induces increased fluctuations primarily in side chains in the external regions of the protein. The water transition involves activation of translational diffusion and occurs even in simulations where the protein atoms are held fixed.

Animals↗

Time-resolved computational protein biochemistry: solvent effects on interactions, conformational transitions and equilibrium fluctuations.

Solvent plays an important role in modulating internal motions of proteins. Here we present a computational method for including solvent effects on charge-charge interactions and on pathways between functional protein conformations, and examine solvent effects on equilibrium internal fluctuations in proteins. A computationally efficient charge reparametrisation method is presented that satisfactorily reproduces the electrostatic interactions present in a full continuum Poisson-Boltzmann representation. The application of charge reparametrisation in the calculation of a large-scale conformational transition pathway in a protein, annexin V, is illustrated. We also examine solvent effects on fast (picosecond timescale) internal protein dynamics. Nosé-Hoover dual heatbath molecular dynamics simulations are performed. These simulations allow the solvent region to be fixed at one temperature and the protein at another. The results of the Nosé-Hoover simulations on hydrated myoglobin confirm that the solvent temperature strongly influences the protein fluctuations. We consider to what extent the solvent can be considered to determine the high temperature protein dynamics.

Animals↗