Scientific Inquiry into Home Electronic Technology Usage

This activity promotes ways to save electricity in the home. Students identify electronic devices in the home and examine wattage, hours of use per month, estimated wattage per month, kilowatt hours per month, average retail price per kilowatt hour in each state, and the estimated cost per month. Students gain an appreciation for how saving power saves money and betters the environment. This interdisciplinary activity promotes science, technology, mathematics, and English language arts.     

The Effect of Disease-Induced Mortality on Structural Network Properties

As the understanding of the importance of social contact networks in the spread of infectious diseases has increased, so has the interest in understanding the feedback process of the disease altering the social network. While many studies have explored the influence of individual epidemiological parameters and/or underlying network topologies on the resulting disease dynamics, we here provide a systematic overview of the interactions between these two influences on population-level disease outcomes. We show that the sensitivity of the population-level disease outcomes to the combination of epidemiological parameters that describe the disease are critically dependent on the topological structure of the population’s contact network. We introduce a new metric for assessing disease-driven structural damage to a network as a population-level outcome. Lastly, we discuss how the expected individual-level disease burden is influenced by the complete suite of epidemiological characteristics for the circulating disease and the ongoing process of network compromise. Our results have broad implications for prediction and mitigation of outbreaks in both natural and human populations.     

Module detection in complex networks using integer optimisation

Background  

The detection of modules or community structure is widely used to reveal the underlying properties of complex networks in biology, as well as physical and social sciences. Since the adoption of modularity as a measure of network topological properties, several methodologies for the discovery of community structure based on modularity maximisation have been developed. However, satisfactory partitions of large graphs with modest computational resources are particularly challenging due to the NP-hard nature of the related optimisation problem. Furthermore, it has been suggested that optimising the modularity metric can reach a resolution limit whereby the algorithm fails to detect smaller communities than a specific size in large networks.     

Capacity planning for batch and perfusion bioprocesses across multiple biopharmaceutical facilities

Production planning for biopharmaceutical portfolios becomes more complex when products switch between fed‐batch and continuous perfusion culture processes. This article describes the development of a discrete‐time mixed integer linear programming (MILP) model to optimize capacity plans for multiple biopharmaceutical products, with either batch or perfusion bioprocesses, across multiple facilities to meet quarterly demands. The model comprised specific features to account for products with fed‐batch or perfusion culture processes such as sequence‐dependent changeover times, continuous culture constraints, and decoupled upstream and downstream operations that permit independent scheduling of each. Strategic inventory levels were accounted for by applying cost penalties when they were not met. A rolling time horizon methodology was utilized in conjunction with the MILP model and was shown to obtain solutions with greater optimality in less computational time than the full‐scale model. The model was applied to an industrial case study to illustrate how the framework aids decisions regarding outsourcing capacity to third party manufacturers or building new facilities. The impact of variations on key parameters such as demand or titres on the optimal production plans and costs was captured. The analysis identified the critical ratio of in‐house to contract manufacturing organization (CMO) manufacturing costs that led the optimization results to favor building a future facility over using a CMO. The tool predicted that if titres were higher than expected then the optimal solution would allocate more production to in‐house facilities, where manufacturing costs were lower. Utilization graphs indicated when capacity expansion should be considered. © 2013 The Authors Biotechnology Progress published by Wiley Periodicals, Inc. on behalf of American Institute of Chemical Engineers Biotechnol. Prog., 30:594–606, 2014     

Synthesis and antitumor activity of peptide-paclitaxel conjugates.

Paclitaxel (Pac) is the most important anticancer drug used mainly in treatment of breast, lung, and ovarian cancer and is being investigated for use as a single agent for treatment of lung cancer, advanced head and neck cancers, and adenocarcinomas of the upper gastrointestinal tract. In this work, we present the synthesis of five 2'-paclitaxel-substituted analogs in which paclitaxel was covalently bound to peptides or as multiple copies to synthetic carriers. Ac-Cys(CH(2)CO-2'-Pac)-Arg-Gly-Asp-Arg-NH(2), Folyl-Cys(CH(2)CO-2'-Pac)-Arg-Gly-Asp-Ser-NH(2), Ac-[Lys-Aib-Cys(CH(2)CO-2'-Pac)](2)-NH(2), Ac-[Lys-Aib-Cys(CH(2)CO-2'-Pac)](3)-NH(2) and Ac-[Lys-Aib-Cys(CH(2)CO-2'-Pac)](4)-NH(2) were synthesized using 2'-halogeno-acetylated paclitaxel derivatives. Paclitaxel conjugates showed greater solubility in water than paclitaxel and inhibited the proliferation of human breast, prostate, and cervical cancer cell lines. Although all synthesized compounds had an antiproliferative activity, the Ac-[Lys-Aib-Cys(CH(2)CO-2'-Pac)](4)-NH(2) derivative showed improved biological activity in comparison with paclitaxel in cervical and prostate human cancer cells.     

eIF4E binding protein 1 and H-Ras are novel substrates for the protein kinase activity of class-I phosphoinositide 3-kinase

Class-I phosphoinositide 3-kinases (PI 3-kinases) are dual specificity enzymes that possess both lipid and protein kinase activity. While the best characterized property of this protein kinase is as an autokinase activity, there have also been reports it can phosphorylate exogenous substrates including peptides, IRS-1 and PDE-3B. The identification of two novel potential protein substrates of PI 3-kinase is described here. By employing in vitro kinase assays using recombinant proteins as the substrates, it is shown that the translational regulator 4EBP1 becomes phosphorylated by the p110alpha and p110gamma isoforms of class-I PI 3-kinases. The lipid kinase activity of both these isoforms is increased by allosteric binding of H-Ras or betagamma subunits of heterotrimeric G proteins, but we find this is not the case for the protein kinase activity. Surprisingly though, a site on H-Ras is phosphorylated by p110alpha and p110gamma. This raises the possibility that these proteins could serve as physiological substrates for the protein kinase activity of PI 3-kinase and suggests this activity operates in a physiological context by phosphorylating substrates other than the PI 3-kinase itself. This may be particularly important in regulating the interaction of Ras with PI 3-kinase.     

MINLP models for the synthesis of optimal peptide tags and downstream protein processing

The development of systematic methods for the synthesis of downstream protein processing operations has seen growing interest in recent years, as purification is often the most complex and costly stage in biochemical production plants. The objective of the work presented here is to develop mathematical models based on mixed integer optimization techniques, which integrate the selection of optimal peptide purification tags into an established framework for the synthesis of protein purification processes. Peptide tags are comparatively short sequences of amino acids fused onto the protein product, capable of reducing the required purification steps. The methodology is illustrated through its application on two example protein mixtures involving up to 13 contaminants and a set of 11 candidate chromatographic steps. The results are indicative of the benefits resulting by the appropriate use of peptide tags in purification processes and provide a guideline for both optimal tag design and downstream process synthesis.