This invention provides a computational approach to identifying potential antibacterial drug targets based on a genome sequence and its annotation. Starting from a fully sequenced genome, open reading frame assignments are made which determine the metabolic genotype for the organism. The metabolic genotype, and more specifically its stoichiometric matrix, are analyzed using flux balance analysis to assess the effects of genetic deletions on the fitness of the organism and its ability to produce essential biomolecules required for growth.

The provided scaffolds have heavy chains that are asymmetric in the various domains (e.g. CH2 and CH3) to accomplish selectivity between the various Fc receptors involved in modulating effector function, beyond those achievable with a natural homodimeric (symmetric) Fc molecule, and increased stability and purity of the resulting variant Fc heterodimers. These novel molecules comprise complexes of heterogeneous components designed to alter the natural way antibodies behave and that find use in therapeutics.

Apparatuses, methods and systems for a user monitoring apparatus are disclosed. One embodiment of the user monitoring apparatus includes one or more magnetic sensors operative to sense magnetic fields applied to the user monitoring apparatus. Further, the user monitoring apparatus is operative to sense at least one biometric characteristic of a user of the user monitoring apparatus based upon the sensed magnetic field applied to the user monitoring apparatus.

A bioinformatics process which provides an improved means to detect NFkB cellular signaling pathway in a subject, such as a human, based on the expression levels of at least six unique target genes of the NFkB cellular signaling pathway measured in a sample. The invention includes an apparatus comprising a digital processor configured to perform such a method, a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and a computer program comprising program code means for causing a digital processing device to perform such a method. Kits are also provided for measuring expression levels of unique sets of NFkB cellular signaling pathway target genes.

Integrative analysis of metabolites is essential to obtain a comprehensive view of dysregulated biological pathways leading to a disease. Despite the great potential of metabolites their system level analysis has been limited. Global measurements of the metabolites by liquid chromatography-mass spectrometry (MS) detects metabolites features changing in a disease. However, identification of each feature is a bottleneck in metabolomics, in which a fraction of them are identified via tandem MS. Consequently, the scarcity of these data add additional barriers to decipher their biological meaning, especially in relation to other 'omic data such as proteomics. To address these challenges, a novel network-based approach called PIUMet is described. PIUMet infers dysregulated pathways and components from the differential metabolite features between control and disease systems without the need for the prior identification. The application of PIUMet is demonstrated by integrative analysis of untargeted lipid profiling data of a cell line model of Huntington's disease. The results show that PIUMet inferred dysregulation of sphingolipid metabolism in the disease cells. Additionally, PIUMet identified disease-modifying metabolite in the pathway that remained undetected experimentally. Furthermore, the lipidomic data of these cell lines was integrated with global phospho-proteomic ones. Integrative analysis of these data using PIUMet was shown to systematically lead to identifying dysregulated proteins in the disease cells that cannot be distinguished with individual analysis of each dataset.

Embodiments are directed to a computer-based system for processing data of a sample. The system includes a memory and a processor system communicatively coupled to the memory. The processor system is configured to receive, from a sample analysis system, observed data of at least one element in the sample. The processor system is further configured to receive actual data of the at least one element, and identify error data of the observed data of the at least one element, wherein identifying the error data comprises running a simulation model that models the sample analysis system to identify properties of a relationship between the observed data of the at least one element in the sample and the actual data of the at least one element.

Embodiments are directed to a computer-based system for processing data of a sample. The system includes a memory and a processor system communicatively coupled to the memory. The processor system is configured to receive, from a sample analysis system, observed data of at least one element in the sample. The processor system is further configured to receive actual data of the at least one element, and identify error data of the observed data of the at least one element, wherein identifying the error data comprises running a simulation model that models the sample analysis system to identify properties of a relationship between the observed data of the at least one element in the sample and the actual data of the at least one element.

A description of a device and method of use are provided for a containment chamber, accompanying sensing and monitoring instrumentation, and method of creation of a physical force wave that would be capable of mimicking physiologic waves such as pulse pressure, muscle contraction, peristalsis, acoustic waves and other desired waves to be studied. This device allows for the use of various biologic or biologically comparable fluidsalone or in combinationthat would allow for the analysis of the passage of these waves through these media. Singularly, this device also allows for the manipulation of the external constraints that mimic the containment of that media in vivo. This allows for the analysis of the effects on the nature of the wave, its reflections, potential augmentation or dampening that occur in conjunction with various selected external and internal (baffle) constraints that mimic those found in nature or in therapeutic interventions.

Embodiments of the invention relate to a method, system, and computer program product to construct a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster.

Embodiments of the invention relate to a method for constructing a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster.