Abstract: A kit and a method for using the kit to generate nanoseeds from protein nanocrystals and aggregates is disclosed. The method comprises mixing a plurality of beads with a protein nanocrystal or aggregate, and agitating the mixture to generate the nanoseeds. Nanoseeds made by disclosed embodiments may be of a high quality, as evaluated by TEM, and can be used to produce high quality protein crystals. Additionally, spectroscopic techniques, such as UV fluorescence and/or brightfield microscopy can be used to identify aggregates suitable to produce nanoseeds.

Abstract: A kit and a method for using the kit to generate nanoseeds from protein nanocrystals and aggregates is disclosed. The method comprises mixing a plurality of beads with a protein nanocrystal or aggregate, and agitating the mixture to generate the nanoseeds. Nanoseeds made by disclosed embodiments may be of a high quality, as evaluated by TEM, and can be used to produce high quality protein crystals. Additionally, spectroscopic techniques, such as UV fluorescence and/or brightfield microscopy can be used to identify aggregates suitable to produce nanoseeds.

Abstract: A kit and a method for using the kit to generate nanoseeds from protein nanocrystals and aggregates is disclosed. The method comprises mixing a plurality of beads with a protein nanocrystal or aggregate, and agitating the mixture to generate the nanoseeds. Nanoseeds made by disclosed embodiments may be of a high quality, as evaluated by TEM, and can be used to produce high quality protein crystals. Additionally, spectroscopic techniques, such as UV fluorescence and/or brightfield microscopy can be used to identify aggregates suitable to produce nanoseeds.

Abstract: Systems and methods for modeling the interactions of the several genes, proteins and other components of a cell, employing mathematical techniques to represent the interrelationships between the cell components and the manipulation of the dynamics of the cell to determine which components of a cell may be targets for interaction with therapeutic agents. A first such method is based on a cell simulation approach in which a cellular biochemical network intrinsic to a phenotype of the cell is simulated by specifying its components and their interrelationships. The various interrelationships are represented with one or more mathematical equations which are solved to simulate a first state of the cell. The simulated network is then perturbed by deleting one or more components, changing the concentration of one or more components, or modifying one or more mathematical equations representing the interrelationships between one or more of the components.

Abstract: Systems and methods for modeling the interactions of the several genes, proteins and other components of a cell, employing mathematical techniques to represent the interrelationships between the cell components and the manipulation of the dynamics of the cell to determine which components of a cell may be targets for interaction with therapeutic agents. A first such method is based on a cell simulation approach in which a cellular biochemical network intrinsic to a phenotype of the cell is simulated by specifying its components and their interrelationships. The various interrelationships are represented with one or more mathematical equations which are solved to simulate a first state of the cell. The simulated network is then perturbed by deleting one or more components, changing the concentration of one or more components, or modifying one or more mathematical equations representing the interrelationships between one or more of the components.