Sparse networks of directly coupled,polymorphic, and functional side chains in allosteric proteins

Recent studies have highlighted the role of coupled side‐chain fluctuations alone in the allosteric behavior of proteins. Moreover, examination of X‐ray crystallography data has recently revealed new information about the prevalence of alternate side‐chain conformations (conformational polymorphism), and attempts have been made to uncover the hidden alternate conformations from X‐ray data. Hence, new computational approaches are required that consider the polymorphic nature of the side chains, and incorporate the effects of this phenomenon in the study of information transmission and functional interactions of residues in a molecule. These studies can provide a more accurate understanding of the allosteric behavior. In this article, we first present a novel approach to generate an ensemble of conformations and an efficient computational method to extract direct couplings of side chains in allosteric proteins, and provide sparse network representations of the couplings. We take the side‐chain conformational polymorphism into account, and show that by studying the intrinsic dynamics of an inactive structure, we are able to construct a network of functionally crucial residues. Second, we show that the proposed method is capable of providing a magnified view of the coupled and conformationally polymorphic residues. This model reveals couplings between the alternate conformations of a coupled residue pair. To the best of our knowledge, this is the first computational method for extracting networks of side chains' alternate conformations. Such networks help in providing a detailed image of side‐chain dynamics in functionally important and conformationally polymorphic sites, such as binding and/or allosteric sites. Proteins 2015; 83:497–516. © 2014 Wiley Periodicals, Inc.     

Long-term treadmill exercise improves spatial memory of male APPswe/PS1dE9 mice by regulation of BDNF expression and microglia activation

Increasing evidence suggests that physical activity could delay or attenuate the symptoms of Alzheimer''s disease (AD). But the underlying mechanisms are still not fully understood. To investigate the effect of long-term treadmill exercise on the spatial memory of AD mice and the possible role of β-amyloid, brain-derived neurotrophic factor (BDNF) and microglia in the effect, male APPswe/PS1dE9 AD mice aged 4 months were subjected to treadmill exercise for 5 months with 6 sessions per week and gradually increased load. A Morris water maze was used to evaluate the spatial memory. Expression levels of β-amyloid, BDNF and Iba-1 (a microglia marker) in brain tissue were detected by immunohistochemistry. Sedentary AD mice and wildtype C57BL/6J mice served as controls. The results showed that 5-month treadmill exercise significantly decreased the escape latencies (P < 0.01 on the 4th day) and improved the spatial memory of the AD mice in the water maze test. Meanwhile, treadmill exercise significantly increased the number of BDNF-positive cells and decreased the ratios of activated microglia in both the cerebral cortex and the hippocampus. However, treadmill exercise did not significantly alleviate the accumulation of β-amyloid in either the cerebral cortex or the hippocampus of the AD mice (P > 0.05). The study suggested that long-term treadmill exercise could improve the spatial memory of the male APPswe/PS1dE9 AD mice. The increase in BDNF-positive cells and decrease in activated microglia might underpin the beneficial effect.     

A QM/MM study of the reaction mechanism of (R)‐hydroxynitrile lyases from Arabidopsis thaliana (AtHNL)

Hydroxynitrile lyases (HNLs) catalyze the conversion of chiral cyanohydrins to hydrocyanic acid (HCN) and aldehyde or ketone. Hydroxynitrile lyase from Arabidopsis thaliana (AtHNL) is the first R‐selective HNL enzyme containing an α/β‐hydrolases fold. In this article, the catalytic mechanism of AtHNL was theoretically studied by using QM/MM approach based on the recently obtained crystal structure in 2012. Two computational models were constructed, and two possible reaction pathways were considered. In Path A, the calculation results indicate that the proton transfer from the hydroxyl group of cyanohydrin occurs firstly, and then the cleavage of C1‐C2 bond and the rotation of the generated cyanide ion (CN^?) follow, afterwards, CN^? abstracts a proton from His236 via Ser81. The C1‐C2 bond cleavage and the protonation of CN^? correspond to comparable free energy barriers (12.1 vs. 12.2 kcal mol^?1), suggesting that both of the two processes contribute a lot to rate‐limiting. In Path B, the deprotonation of the hydroxyl group of cyanohydrin and the cleavage of C1‐C2 bond take place in a concerted manner, which corresponds to the highest free energy barrier of 13.2 kcal mol^?1. The free energy barriers of Path A and B are very similar and basically agree well with the experimental value of HbHNL, a similar enzyme of AtHNL. Therefore, both of the two pathways are possible. In the reaction, the catalytic triad (His236, Ser81, and Asp208) acts as the general acid/base, and the generated CN^? is stabilized by the hydroxyl group of Ser81 and the main‐chain NH‐groups of Ala13 and Phe82. Proteins 2015; 83:66–77. © 2014 Wiley Periodicals, Inc.