Abstract: The present invention provides a method for configuring a pattern recognizer using versatile, readily available data, comprehensive protein data, and comprehensive chemical data, as well as a method for predicting an unknown interaction of a pair by using the pattern recognizer-configuring method. An interaction such as the coupling between a protein and a chemical is used as an index; at least one of four parameters is vectorized; a vector containing elements of the vector derived from each protein and elements of the vector derived from each chemical paired with the protein is created; and a support vector machine (SVM) is applied to this vector and trained to learn them, where the pattern recognizer is configured so as to discriminate between a class to which the first pair belong and a class to which the second pair belong.

Abstract: The present invention has an object to provide a method for configuring a pattern recognizer using versatile, readily available data, comprehensive protein data, and comprehensive chemical data and an object to provide a method for predicting an unknown interaction of a pair by the pattern recognizer-configuring method.

Abstract: The present invention is to provide a molecular computer comprising an electronic operation section and a molecular operation section, wherein, in addition to general computation processing, said electronic operation section controls a function of the molecular operation section substantially, and the molecular operation is performed under control thereof.

Abstract: The present invention is to provide a molecular computer comprising an electronic operation section and a molecular operation section, wherein, in addition to general computation processing, said electronic operation section controls a function of the molecular operation section substantially, and the molecular operation is performed under control thereof.

Abstract: The present invention is to provide an information processing method using an operational nucleic acid, which comprises (a) converting arbitrary information into a nucleic acid molecule, (b) hybridizing the nucleic acid molecule obtained in (a) to an operational nucleic acid designed so as to express a logical equation indicating a condition to be detected, and extending the nucleic acid molecule hybridized, and (c) detecting a binding profile of the nucleic acid molecule included in the nucleic acid molecule extended in (b), thereby evaluating whether a solution of the logical equation is true or false. The present invention further provides an apparatus and a program for performing the information processing method.

Abstract: Derivatives representing character string candidates are created from a list of examples of character data. The sorting attribute of the derivatives representing character string candidate is evaluated relating to each example of the character data and a derivatives representing character string is labeled to an internal node. At the same time, the sorting attribute of the derivatives representing character string selected is evaluated relating to each example of the character data to thereby successively sort the example of each character data and create a data sorting tree. New character data is sorted using the data sorting tree. On the other hand, a thesaurus of desired character data is automatically created as a word linked to the derivatives representing character string which is labeled to each internal node present on a path extending along the data sorting tree, or as a word linked to a negative of the derivative representing character string.

Abstract: A document classifying system is formed by a document data classifying system, a document classifying function building system, a sample data storage apparatus and a keyword storage apparatus. The document data classifying system inputs document data and defines a classification to which the document data belongs. The document classifying function building system is operatively connected to the document data classifying system and automatically builds a classification decision tree in the document data classifying system. A sample data storage apparatus is operatively connected to the document classifying function building system and stores sample data formed by a set comprised of the document data and the classification to which the document data belongs. The keyword storage apparatus is operatively connected to the document classifying function building system and stores keywords extracted thereby.