| KOCHI UNIVERSITY Patent applications |
| Patent application number | Title | Published |
|---|
| 20110206711 | METHOD FOR INDUCING CYTOTOXIC T-CELLS, CYTOTOXIC T-CELL INDUCER, AND PHARMACEUTICAL COMPOSITION AND VACCINE EMPLOYING SAME - A method for inducing cytotoxic T-cells that includes binding to an HLA molecule on the surface of a cell that is a target of a cytotoxic T-cell a peptide containing one or more types of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 13 and consisting of not less than 8 and not more than 11 amino acid residues, or a peptide derived from a precursor thereof. | 08-25-2011 |
| 20110087005 | HLA-BINDING PEPTIDE, PRECURSOR THEREOF, AND DNA FRAGMENT AND RECOMBINANT VECTOR CODING FOR SAID HLA-BINDING PEPTIDE - An HLA-binding peptide binding to an HLA-A type molecule is provided that includes one or more types of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 52, and not less than 8 and not more than 11 amino acid residues. All of these amino acid sequences are amino acid sequences predicted to bind to a human HLA-A molecule using a prediction program employing an active learning experiment method shown in FIG. | 04-14-2011 |
| 20110060124 | HLA-BINDING PEPTIDES, PRECURSORS THEREOF, DNA FRAGMENTS AND RECOMBINANT VECTORS THAT CODE FOR THOSE PEPTIDE SEQUENCES - An HLA-binding peptide binding to an HLA-A type molecule, said HLA-binding peptide comprising at least one type of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 183, and not less than 8 and not more than 11 amino acid residues is provided. Any of the amino acid sequences is predicted to have the binding property to a human HLA-A type molecule by a predicting program using an active learning experiment method as illustrated in FIG. | 03-10-2011 |
| 20100255020 | METHOD FOR INDUCING CYTOTOXIC T-CELLS, CYTOTOXIC T-CELL INDUCERS, AND PHARMACEUTICAL COMPOSITIONS AND VACCINES EMPLOYING THEM - A method for inducing cytotoxic T-cells is provided that includes binding to an HLA molecule on the surface of a cell that is a target of a cytotoxic T-cell, a peptide containing one or more types of amino acid sequence selected from the group consisting of SEQ ID NOS: 1, 2, and 3 and composed of not less than 8 and not more than 11 amino acid residues, or a peptide derived from a precursor thereof. | 10-07-2010 |
| 20100233764 | Process for Producing Poly-y-Glutamic Acid Having High Optical Purity - It is an objective of the present invention to provide a process for efficiently producing poly-γ-glutamic acid having a high L-glutamic acid content and excellent quality. The process for producing poly-γ-glutamic acid according to the present invention is characterized in using a bacterium belonging to species | 09-16-2010 |
| 20100209291 | METHOD OF PRESERVING BIOMATERIAL - A method of preserving a biomaterial according to the present invention includes the step of simultaneously applying negative DC voltage and AC voltage to a biomaterial (O). It is preferable that in the simultaneous voltage application step, the biomaterial (O) is stored in a container ( | 08-19-2010 |
| 20100036791 | EXAMINATION VALUE PREDICTING DEVICE USING ELECTROPHORESIS WAVEFORM, PREDICTION METHOD, AND PREDICTING PROGRAM - A test value prediction apparatus, a test value prediction method, and a test value predicting program, capable of accurately predicting the amount of a specific substance, the presence or absence of a disease, and the like, using electrophoresis waveform. The test value prediction method is a method wherein, electrophoresis waveform data formed by mobilities and absorbance values corresponding to the mobilities and a prediction equation for predicting the amount of a specific substance in an analyte or the presence or absence of a disease in the living body from which the analyte was obtained are recorded in the recording unit; the prediction equation is a regression equation in which the explanatory variable is an absorbance value corresponding to a mobility in corrected waveform data generated as a result of electrophoresis waveform data on a plurality of analytes being subjected to normalization and area correction, and the criterion variable is the amount of the specific substance or the presence or absence of a disease; and the test value prediction method includes first step (S2) of generating corrected waveform data by performing normalization and area correction on the electrophoresis waveform data recorded in the recording unit, and the second step (S4) of calculating a prediction value of the amount of the specific substance by substituting the absorbance value corresponding to the mobility, i.e., the explanatory variable of the prediction equation recorded in the recording unit, with an absorbance value from the corrected waveform data generated from the electrophoresis waveform data recorded in the recording unit. | 02-11-2010 |
| 20090136139 | Mobility Normalizer, Normalizing Method, Normalizing Program, Self-Organized Map, Substance Detecting Method, Detecting Program, Detection Rule Creating Method, and Data Structure - The object of the present invention is to provide an apparatus, a method, a program, and a self-organizing map which are capable of normalizing mobility without using a marker, as well as a substance detection method, a program, a detection rule creating method, and a data structure which use normalized mobility. The mobility normalizing method comprises the steps of determining a plurality of warping functions converting data to be corrected, which is unit time sequence data obtained by measuring mobility, to the respective plurality of reference waveform data sets, and a DTW distance associated with each warping function; evaluating a minimum value of the plurality of DTW distances, and determining the warping function associated with the determined minimum DTW distance; determining a slope and an intercept of a straight line approximating the determined warping function; and correcting the data to be corrected using a linear function specified by the slope and the intercept. | 05-28-2009 |
| 20090023895 | HLA-BINDING PEPTIDE, PRECURSOR THEREOF, AND DNA FRAGMENT AND RECOMBINANT VECTOR CODING FOR SAID HLA-BINDING PEPTIDE - An HLA-binding peptide binding to an HLA-A type molecule is provided that includes one or more types of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 52, and not less than 8 and not more than 11 amino acid residues. All of these amino acid sequences are amino acid sequences predicted to bind to a human HLA-A molecule using a prediction program employing an active learning experiment method shown in FIG. | 01-22-2009 |
| 20080306243 | Hla-Binding Peptide, and Dna Fragment and Recombinant Vector Coding for Said Hla-Binding Peptide - An HLA-binding peptide binding to an HLA-A type molecule is provided that includes at least one type of amino acid sequence selected from the group consisting of SEQ ID NOS: 1 to 30, and not less than 8 and not more than 11 amino acid residues. All of these amino acid sequences are amino acid sequences predicted to bind to a human HLA-A molecule using a prediction program employing an active learning experiment method shown in FIG. | 12-11-2008 |
