Abstract: In a plurality of data analysis apparatuses communicatively coupled to one another, a database is accessed at a given access level. Based on the data acquired from the database, an application program is executed to perform data analysis. Communication control is performed to allow transmission and reception of a data analysis result with respect to another data analysis apparatus at a different access level.

Abstract: In a plurality of data analysis apparatuses communicatively coupled to one another, a database is accessed at a given access level. Based on the data acquired from the database, an application program is executed to perform data analysis. Communication control is performed to allow transmission and reception of a data analysis result with respect to another data analysis apparatus at a different access level.

Abstract: The present invention involves retrieving edges that do not constitute a designated network model which is a network model designated by a user and are linked to nodes that constitute the designated network model, displaying retrieval results that include the retrieved edges and network model IDs corresponding to the edges in a selectable manner, and generating an integrated network model in which, when the retrieval results are selected by the user, the edges that are included in the selected retrieval results and the nodes that do not constitute the designated network model and are linked to the edges, are integrated into the designated network model.

Abstract: The present invention acquires compound structure data and candidate protein structure data on a candidate protein serving as a candidate for interaction with the compound. The present invention calculates a binding strength between the candidate protein and the compound using a docking simulation method, determines a predicted binding strength corresponding to the binding strength predicted by making a comprehensive evaluation of the binding strength, and determines a predicted protein corresponding to the candidate protein predicted to interact with the compound. The present invention calculates an interaction strength using a binding strength simulation method and determines a predicted interaction strength corresponding to the interaction strength predicted by making the comprehensive evaluation of the interaction strength.

Abstract: An object of the present invention is to develop and provide a method for producing a neuron model having reproduced in vivo properties by improving a cell culture medium composition and a cell culture medium composition necessary for the production of such neuron model. According to the present invention, cell culture is carried out in vitro using a medium for producing in vivo-like and enhanced synaptogenesis neuron model supplemented with a medium supplement for producing in vivo-like and enhanced synaptogenesis neuron model comprising any or any combination of NT-3, potassium or a salt thereof, and FGF2.

Abstract: The present invention involves retrieving edges that do not constitute a designated network model which is a network model designated by a user and are linked to nodes that constitute the designated network model, displaying retrieval results that include the retrieved edges and network model IDs corresponding to the edges in a selectable manner, and generating an integrated network model in which, when the retrieval results are selected by the user, the edges that are included in the selected retrieval results and the nodes that do not constitute the designated network model and are linked to the edges, are integrated into the designated network model.

Abstract: The present invention sets, for each cells or each condition, a production output of the cells or the biomass based on the measured data and a variable indicating an extent of variation of the production output, calculates a variable range of the production output and the variable in case of combining the multiple cells or conditions based on the production output and the variable set, and calculates an optimum combination within the variable range by using an optimization method.