Autonomic resource management in virtualized data centers using fuzzy logic-based approaches

Data centers, as resource providers, are expected to deliver on performance guarantees while optimizing resource utilization to reduce cost. Virtualization techniques provide the opportunity of consolidating multiple separately managed containers of virtual resources on underutilized physical servers. A key challenge that comes with virtualization is the simultaneous on-demand provisioning of shared physical resources to virtual containers and the management of their capacities to meet service-quality targets at the least cost. This paper proposes a two-level resource management system to dynamically allocate resources to individual virtual containers. It uses local controllers at the virtual-container level and a global controller at the resource-pool level. An important advantage of this two-level control architecture is that it allows independent controller designs for separately optimizing the performance of applications and the use of resources. Autonomic resource allocation is realized through the interaction of the local and global controllers. A novelty of the local controller designs is their use of fuzzy logic-based approaches to efficiently and robustly deal with the complexity and uncertainties of dynamically changing workloads and resource usage. The global controller determines the resource allocation based on a proposed profit model, with the goal of maximizing the total profit of the data center. Experimental results obtained through a prototype implementation demonstrate that, for the scenarios under consideration, the proposed resource management system can significantly reduce resource consumption while still achieving application performance targets.

Predicting global change impacts on plant species’ distributions: Future challenges

Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species’ range shifts, changes in phenology and species’ extinctions, accurate projections of species’ responses to future environmental changes are more difficult to ascertain. This is problematic, since there is a growing awareness of the need to adopt proactive conservation planning measures using forecasts of species’ responses to future environmental changes.

There is a substantial body of literature describing and assessing the impacts of various scenarios of climate and land-use change on species’ distributions. Model predictions include a wide range of assumptions and limitations that are widely acknowledged but compromise their use for developing reliable adaptation and mitigation strategies for biodiversity. Indeed, amongst the most used models, few, if any, explicitly deal with migration processes, the dynamics of population at the “trailing edge” of shifting populations, species’ interactions and the interaction between the effects of climate and land-use.

In this review, we propose two main avenues to progress the understanding and prediction of the different processes occurring on the leading and trailing edge of the species’ distribution in response to any global change phenomena. Deliberately focusing on plant species, we first explore the different ways to incorporate species’ migration in the existing modelling approaches, given data and knowledge limitations and the dual effects of climate and land-use factors. Secondly, we explore the mechanisms and processes happening at the trailing edge of a shifting species’ distribution and how to implement them into a modelling approach. We finally conclude this review with clear guidelines on how such modelling improvements will benefit conservation strategies in a changing world.     

aⅡbb3同源模拟和环形RGD药物小分子设计

血小板表面的整合蛋白aⅡbb3对血栓的形成具有很重要的调控作用, aⅡbb3与纤维蛋白原上的RGD特征序列结合, 促进血小板凝集进而形成血栓。这样可以在理论上设计一个环形RGD小分子(RGD-c)与aⅡbb3蛋白结合, 阻断其与纤维蛋白原的结合位点, 进而阻断血栓形成。以糖蛋白avb3(pdb 代码 1jv2)作为模板, 利用modeller8v2软件进行同源模拟得到aⅡbb3三维模型。而小分子则以RGD序列为主, 两边各加一个氨基酸X、Y, X和Y之间用一个二硫键相连, 通过改变X和Y, 重复优化过程则可得到不同的小分子模型, 将其与aⅡbb3进行分子对接, 可以找出比较理想的XY组合, 对治疗血栓的药物设计具有重要的理论指导作用     

Computational study of the putative active form of protein Z (PZa): sequence design and structural modeling

Although protein Z (PZ) has a domain arrangement similar to the essential coagulation proteins FVII, FIX, FX, and protein C, its serine protease (SP)-like domain is incomplete and does not exhibit proteolytic activity. We have generated a trial sequence of putative activated protein Z (PZa) by identifying amino acid mutations in the SP-like domain that might reasonably resurrect the serine protease catalytic activity of PZ. The structure of the activated form was then modeled based on the proposed sequence using homology modeling and solvent-equilibrated molecular dynamics simulations. In silico docking of inhibitors of FVIIa and FXa to the putative active site of equilibrated PZa, along with structural comparison with its homologous proteins, suggest that the designed PZa can possibly act as a serine protease.     

Molecular modeling and dynamics simulations of PNP from Streptococcus agalactiae

This work describes for the first time a structural model of purine nucleoside phosphorylase from Streptococcus agalactiae (SaPNP). PNP catalyzes the cleavage of N-ribosidic bonds of the purine ribonucleosides and 2-deoxyribonucleosides in the presence of inorganic orthophosphate as a second substrate. This enzyme is a potential target for the development of antibacterial drugs. We modeled the complexes of SaPNP with 15 different ligands in order to determine the structural basis for the specificity of these ligands against SaPNP. The application of a novel empirical scoring function to estimate the affinity of a ligand for a protein was able to identify the ligands with high affinity for PNPs. The analysis of molecular dynamics trajectory for SaPNP indicates that the functionally important motifs have a very stable structure. This new structural model together with a novel empirical scoring function opens the possibility to explorer larger library of compounds in order to identify the new inhibitors for PNPs in virtual screening projects.     

Molecular modeling of zinc and copper binding with Alzheimer’s amyloid β-peptide

Aggregation of the amyloid β-peptide (Aβ) into insoluble fibrils is a key pathological event in Alzheimer’s disease. Cu(II) and Zn(II) ions were reported to be able to induce Aβ aggregation at nearly physiological concentrations in vitro. In this study, the binding modes of Cu(II) and Zn(II) in this process were explored by molecular modeling. In the pre-associated Aβ, Nτ atom of imidazole ring of His14, O atom of carbonyl of main-chain and two O atoms of water occupied the four ligand positions of the complex. While in the aggregated form of Aβ, the His13(N)–Metals–His14(N) bridges were formed through metal cross-linking action. These results would be helpful to put insight on revealing the formation mechanism of pathogenic Aβ aggregates in brain.     

1,5-Disubstituted 1,2,3-triazoles as cis-restricted analogues of combretastatin A-4: Synthesis, molecular modeling and evaluation as cytotoxic agents and inhibitors of tubulin

A series of cis-restricted 1,5-disubstituted 1,2,3-triazole analogues of combretastatin A-4 (1) have been prepared. The triazole 12f, 2-methoxy-5-(1-(3,4,5-trimethoxyphenyl)-1H-1,2,3-triazol-5-yl)aniline, displayed potent cytotoxic activity against several cancer cell lines with IC₅₀ values in the nanomolar range. The ability of triazoles to inhibit tubulin polymerization has been evaluated, and 12f inhibited tubulin polymerization with IC₅₀ = 4.8 μM. Molecular modeling experiments involving 12f and the colchicine binding site of ,β-tubulin showed that the triazole moiety interacts with β-tubulin via hydrogen bonding with several amino acids.     

A complete library of amino acid alterations at R306 in Streptomyces clavuligerus deacetoxycephalosporin C synthase demonstrates its structural role in the ring-expansion activity

In a previous study, the conserved arginine residue at position 306 of Streptomyces clavuligerus deacetoxycephalsoporin C synthase (scDAOCS), when mutated to leucine, resulted in 191% increase in converting ampicillin to its expanded cephalosporin moiety compared with that of the wild-type enzyme. However, the role of this residue in eliciting the improved enzymatic activity is not well understood. In this study, probing the molecular basis of amino acid substitutions at position 306 has underscored its importance for engineering various improvements in the ring expansion activity. Structural modeling using SwissPdbViewer revealed that R306 is surrounded by a hydrophobic cleft formed by residues Y184, L186, W297, I298, and V303. Hence, the improved activity achieved by the R306L mutation was probably because of better hydrophobic packing in this region. To evaluate the role of amino acids at position 306 of scDAOCS and its influence on the molecular status of the enzyme at this locality, alteration to 18 other amino acids was done by site-directed mutagenesis. The effects of each substitution on the enzyme activity were determined by bioassay using penicillin substrates: ampicillin, penicillin G, phenethicillin, and carbenicillin. Results obtained showed a drastic reduction in enzyme activity when R306 was replaced with charged or polar residues, thus emphasizing the importance of hydrophobic packing around this site. The bioassay results also illustrated that apart from leucine, substitutions to nonpolar residues, isoleucine and methionine, were able to improve the ampicillin conversion activity of scDAOCS by 168 and 113% of the wild-type enzyme activity, respectively. Similar trend of effects from each mutation was also observed for penicillin G, phenethicillin, and carbenicillin conversions. The enhanced enzyme activities were supported by spectrophotometric assay indicating that all these mutants have lower K(m) values (R306L: 1.09 mM; R306I: 2.64 mM; R306M: 5.68 mM) than the wild-type enzyme (8.33 mM), resulting in improvement in the enzyme's substrate binding affinity. Hence, this mutational study of amino acids situated at 306 of scDAOCS has provided a better understanding of the significance of specific amino acid residues at this position which can improve its ring-expansion activity when given a plethora of beta-lactam substrates to generate corresponding, possibly new, cephalosporins.