Abstract: Provided herein are methods and systems for identifying one or more cofactors such as vitamins for individuals based on the genetic makeup of the individual by detecting the presence or absence of at least one genetic variant, determining a predisposition to cofactor remediable condition, generating a personalized nutritional advice plan based on the genetic variant. Also provided herein are formulations of cofactors determined by the genetic make-up of the individual and methods of determining and producing these formulations.

Abstract: Methods and procedures for designing and constructing microbes with the ability to harvest light energy are described. In certain embodiments, these methods and procedures are used to construct a photosynthetic yeast based on proteorhodopsin (PR) expression. Proteorhodopsin is a light powered proton pump used by some ocean bacteria to scavenge light energy. By illuminating single yeast cells expressing PR, controlled amounts of energy can be delivered to these cells. A light-harvesting yeast is a unique bioenergetics research platform for investigating the interplay of biofuel production, cellular ATP levels, and the proton-motive-force (pmf). Also, a strain of yeast with light-boosted biomass to biofuel conversion efficiency possesses direct industrial and commercial utility.

Abstract: The invention is directed to enzyme variants, responsiveness thereof to cofactors, and in vivo assays for testing the activity of enzyme variants as well as the responsiveness thereof to cofactors.

Abstract: Stimulus-response patterns are analyzed using deduction protocols applied through AI systems such as expert systems and neural networks. Generating an output signal matrix database involves: (i) constructing a stimulated physical matrix; (ii) detecting a physical signal at each unit of the physical matrix; (iii) transducing each physical signal to generate an electrical output signal; (iv) storing each output signal in an output signal matrix data structure; and (v) repeating steps (i)-(iv) to iteratively store output signal matrix data structures for a plurality of stimuli to form an output signal matrix database. Individual output signal matrices are compared to such output signal matrix databases according for qualitative analysis. The stimulated physical matrices comprise an ordered array of units, each confining (1) either a different responder of a living thing or a probe corresponding to such a different responder and, (2) an identifier for the responder or probe.

Abstract: Stimulus-response patterns are analyzed using deduction protocols applied through AI systems such as expert systems and neural networks. Generating an output signal matrix database involves: (i) constructing a stimulated physical matrix; (ii) detecting a physical signal at each unit of the physical matrix; (iii) transducing each physical signal to generate an electrical output signal; (iv) storing each output signal in an output signal matrix data structure; and (v) repeating steps (i)-(iv) to iteratively store output signal matrix data structures for a plurality of stimuli to form an output signal matrix database. Individual output signal matrices are compared to such output signal matrix databases according for qualitative analysis. The stimulated physical matrices comprise an ordered array of units, each confining (1) either a different responder of a living thing or a probe corresponding to such a different responder and, (2) an identifier for the responder or probe.

Abstract: The horse endothelin-B receptor gene has been identified, isolated, purified, sequenced and mapped. The horse endothelin-B receptor gene is associated with Lethal White Foal Syndrome. A PCR based assay has been developed to identify a specific mutation in the endothelin-B receptor gene associated with Lethal White Foal Syndrome. The cDNA clone for the horse endothelin-B receptor has been isolated and purified. Molecular genetics probes for the horse endothelin-B receptor gene and gene products are presented.

Abstract: Stimulus-response patterns are analyzed using deduction protocols applied through AI systems such as expert systems and neural networks. Generating an output signal matrix database involves: (i) constructing a stimulated physical matrix; (ii) detecting a physical signal at each unit of the physical matrix; (iii) transducing each physical signal to generate an electrical output signal; (iv) storing each output signal in an output signal matrix data structure; and (v) repeating steps (i)-(iv) to iteratively store output signal matrix data structures for a plurality of stimuli to form an output signal matrix database. Individual output signal matrices are compared to such output signal matrix databases according for qualitative analysis. The stimulated physical matrices comprise an ordered array of units, each confining (1) either a different responder of a living thing or a probe corresponding to such a different responder and, (2) an identifier for the responder or probe.

Abstract: Stimulus-response patterns are analyzed using deduction protocols applied through AI systems such as expert systems and neural networks. Generating an output signal matrix database involves: (i) constructing a stimulated physical matrix; (ii) detecting a physical signal at each unit of the physical matrix; (iii) transducing each physical signal to generate an electrical output signal; (iv) storing each output signal in an output signal matrix data structure; and (v) repeating steps (i)-(iv) to iteratively store output signal matrix data structures for a plurality of stimuli to form an output signal matrix database. Individual output signal matrices are compared to such output signal matrix databases according for qualitative analysis. The stimulated physical matrices comprise an ordered array of units, each confining (1) either a different responder of a living thing or a probe corresponding to such a different responder and, (2) an identifier for the responder or probe.

Abstract: Stimulus-response patterns are analyzed using deduction protocols applied through AI systems such as expert systems and neural networks. Generating an output signal matrix database involves: (i) constructing a stimulated physical matrix; (ii) detecting a physical signal at each unit of the physical matrix; (iii) transducing each physical signal to generate an electrical output signal; (iv) storing each output signal in an output signal matrix data structure; and (v) repeating steps (i)-(iv) to iteratively store output signal matrix data structures for a plurality of stimuli to form an output signal matrix database. Individual output signal matrices are compared to such output signal matrix databases according for qualitative analysis. The stimulated physical matrices comprise an ordered array of units, each confining (1) either a different responder of a living thing or a probe corresponding to such a different responder and, (2) an identifier for the responder or probe.

Abstract: Origin of Replication Complex (ORC) genes, nucleic acids which encode ORC proteins and hybridization reagents, probes and primers capable of hybridizing with ORC genes and methods for screening chemical libraries for lead compounds for pharmacological agents useful in the diagnosis or treatment of disease associated undesirable cell growth are provided. An exemplary screen involves forming a mixture comprising a recombinant ORC protein, a natural intracellular ORC protein binding target, and a candidate pharmacological agent; incubating the mixture under conditions whereby, but for the presence of said candidate pharmacological agent, said ORC protein selectively binds said binding target; and detecting the presence or absence of specific binding of said ORC protein to said binding target.

Abstract: Origin of Replication Complex (ORC) genes, nucleic acids which encode ORC proteins and hybridization reagents, probes and primers capable of hybridizing with ORC genes and methods for screening chemical libraries for lead compounds for pharmacological agents useful in the diagnosis or treatment of disease associated undesirable cell growth are provided. An exemplary screen involves forming a mixture comprising a recombinant ORC protein, a natural intracellular ORC protein binding target, and a candidate pharmacological agent; incubating the mixture under conditions whereby, but for the presence of said candidate pharmacological agent, said ORC protein selectively binds said binding target; and detecting the presence or absence of specific binding of said ORC protein to said binding target.

Abstract: Methods and compositions for modeling the transcriptional responsiveness of an organism to a candidate drug involve (a) detecting reporter gene product signals from each of a plurality of different, separately isolated cells of a target organism, wherein each cell contains a recombinant construct comprising a reporter gene operatively linked to a different endogenous transcriptional regulatory element of the target organism such that the transcriptional regulatory element regulates the expression of the reporter gene, and the sum of the cells comprises an ensemble of the transcriptional regulatory elements of the organism sufficient to model the transcriptional responsiveness of said organism to a drug; (b) contacting each cell with a candidate drug; (c) detecting reporter gene product signals from each cell; (d) comparing reporter gene product signals from each cell before and after contacting the cell with the candidate drug to obtain a drug response profile which provides a model of the transcriptional res