Processing

Please wait...

PATENTSCOPE will be unavailable a few hours for maintenance reason on Tuesday 25.01.2022 at 8:00 PM JST
Settings

Settings

Goto Application

Offices all Languages Stemming false Single Family Member true Include NPL false

Save query

A private query is only visible to you when you are logged-in and can not be used in RSS feeds

Query Tree

Refine Options

Offices
All
Specify the language of your search keywords
Stemming reduces inflected words to their stem or root form.
For example the words fishing, fished,fish, and fisher are reduced to the root word,fish,
so a search for fisher returns all the different variations
Returns only one member of a family of patents
Include Non-Patent literature in results

Full Query

IC_EX:G16C*

Side-by-side view shortcuts

General
Go to Search input
CTRL + SHIFT +
Go to Results (selected record)
CTRL + SHIFT +
Go to Detail (selected tab)
CTRL + SHIFT +
Go to Next page
CTRL +
Go to Previous page
CTRL +
Results (First, do 'Go to Results')
Go to Next record / image
/
Go to Previous record / image
/
Scroll Up
Page Up
Scroll Down
Page Down
Scroll to Top
CTRL + Home
Scroll to Bottom
CTRL + End
Detail (First, do 'Go to Detail')
Go to Next tab
Go to Previous tab

Analysis

1.WO/2022/006771MOLECULAR FORCE FIELD MULTI-OBJECTIVE FITTING ALGORITHM DATABASE SYSTEM AND WORKFLOW METHOD
WO 13.01.2022
Int.Class G16C 10/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
10Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
Appl.No PCT/CN2020/100813 Applicant SHENZHEN JINGTAI TECHNOLOGY CO., LTD. Inventor LIN, Hongrui
A molecular force field multi-objective fitting algorithm database system and a workflow method, comprising: a FFOptIterator module, used for input/output and force field parameter training iterations; an EnergyCalculator module, used for MM energy and energy differential calculation to calculate required values for each iteration in an optimization algorithm; and a PropertyEstimator module, used for thermodynamic property calculation based on MD simulation, wherein when initializing FFOptIterator and EnergyCalculator objects, a user specifies, by means of passing parameters, training force field parameters, adjustable parameter ranges, algorithm flow parameters, and MD simulation parameters.
2.20220012382DENSITY-FUNCTIONAL THEORY DETERMINATIONS USING A QUANTUM COMPUTING SYSTEM
US 13.01.2022
Int.Class G06F 30/20
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design
20Design optimisation, verification or simulation
Appl.No 16927533 Applicant International Business Machines Corporation Inventor Ivano Tavernelli

Techniques facilitating density-functional theory determinations using a quantum computing system are provided. A system can comprise a first computing processor and a second computing processor. The first computing processor can generate a density-functional theory determination. The second computing processor can input a quantum density into the density-functional theory determination. The first computing processor can be operatively coupled to the second computing processor. Further, the first computing processor can be a classical computer and the second computing processor can be a quantum computer.

3.WO/2022/010202BIOMARKER COMPOSITION FOR PREDICTING PROGNOSIS OF BRAIN DISEASE CAUSED BY MICROPLASTIC EXPOSURE AND METHOD FOR PREDICTING PROGNOSIS USING SAME
WO 13.01.2022
Int.Class C12Q 1/6883
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
6883for diseases caused by alterations of genetic material
Appl.No PCT/KR2021/008493 Applicant KOREA INSTITUTE OF RADIOLOGICAL & MEDICAL SCIENCES Inventor KIM, Jin Su
The present invention relates to: a biomarker composition for predicting the prognosis of brain disease caused by microplastic exposure; and a use thereof. More particularly, it was confirmed that polyethylene microspheres (PS) in a mouse animal model orally administered with the PS penetrate brain tissue to change the level of metabolites inside the brain tissue and the diversity of intestinal microorganisms, thereby causing brain disease, and thus the present invention is intended to provide a biomarker composition for predicting the prognosis of brain disease caused by microplastic exposure, and a method for predicting the prognosis of brain disease using same.
4.20220013197METHOD FOR IDENTIFYING AN UNKNOWN BIOLOGICAL SAMPLE FROM MULTIPLE ATTRIBUTES
US 13.01.2022
Int.Class G16C 20/70
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
20Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
70Machine learning, data mining or chemometrics
Appl.No 17295418 Applicant Agency for Science, Technology and Research Inventor Ian Walsh

A method for identifying an unknown biological sample (e.g. a glycan, an antibody, a metabolite) is disclosed. The method comprises: receiving more than two sample measurements for the unknown biological sample, calculating a sample point in a two-dimensional plot from the more than two sample measurements for the unknown biological sample and identifying the unknown biological sample by comparing the sample point against the plurality of reference points in the two-dimensional plot. The two-dimensional plot includes a plurality of stored reference points corresponding to respective known biological compounds. Each reference point is calculated from a plurality of reference measurements for more than two attributes of the corresponding known biological compound (e.g. by performing principal component analysis on the plurality of reference measurements), with each attribute being different from another attribute. Each reference measurement may be obtained experimentally (e.g. by liquid chromatography, mass spectrometry, tandem mass spectrometry, ion mobility spectrometry) or by a machine learning algorithm.

5.20220013196METHODS AND COMPOSITIONS FOR ASSESSEMENT OF CONCRETE CARBONATION
US 13.01.2022
Int.Class G16C 20/20
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
20Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
20Identification of molecular entities, parts thereof or of chemical compositions
Appl.No 17369911 Applicant CARBONCURE TECHNOLOGIES INC. Inventor George Sean MONKMAN

Provided herein are methods and compositions for determining and reporting carbon dioxide sequestered and/or carbon dioxide avoided in operations involving concrete, including concrete raw material transport, concrete production, and concrete use.

6.WO/2022/008545METHODS OF PROVIDING MODULATORS OF TAU AGGREGATION
WO 13.01.2022
Int.Class G16C 20/50
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
20Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
50Molecular design, e.g. of drugs
Appl.No PCT/EP2021/068718 Applicant WISTA LABORATORIES LTD. Inventor MAZANETZ, Michael Philip
The present invention relates generally to methods for selecting or designing a compound for modulating the aggregation of a Tau protein. The method comprising using computer- implemented molecular modelling means to compare the three-dimensional structure of a candidate compound with a three-dimensional structure of at least a part of the Tau protein comprising amino acids 315-378 and determine whether the candidate compound is able to simultaneously form non-covalent interactions with two or more of Leu315, Ser341, Glu342, Lys343, Phe346, Lys347, Val350, Ser352, Ile354, Lys369, Ile371, Glu372, Phe378 and Thr373. A candidate compound that is able to form said interactions is predicted to modulate the aggregation of the Tau protein or truncated form thereof. Methods using a three- dimensional structural model of at least a part of the Tau protein comprising amino acids 315-378, wherein the model is an intermediate in the aggregation process of the part of the Tau protein with a paired helical filament (PHF) are also described, as are computing systems and products.
7.WO/2022/002699METHOD AND SYSTEM FOR CLASSIFYING MONITORED MOLECULAR INTERACTIONS
WO 06.01.2022
Int.Class G01N 21/27
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
27using photo-electric detection
Appl.No PCT/EP2021/067031 Applicant CYTIVA SWEDEN AB Inventor SODERMAN, Tobias
Disclosed is a method for classifying monitoring results from an analytical sensor system (20), by allowing (100) a first set of analyte sample solutions to interact with a ligand (3) and acquiring (101) a set of response data, extracting (102) at least one interaction parameter from the response data, and for each analyte sample solution providing (103) a trained machine learning algorithm with the interaction parameter(s). The trained machine learning algorithm classifies (104) each analyte sample solution based on the interaction parameter(s) into at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3). The machine learning algorithm is trained (200) using a set of interaction parameters extracted from response data obtained from interactions between a second set of analyte sample solutions with at least one ligand (3), and at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3).
8.20220003679PREDICTION OF PHYSICAL PROPERTIES OF SUPERABSORBENT POLYMERS
US 06.01.2022
Int.Class G01N 21/65
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
63optically excited
65Raman scattering
Appl.No 17291692 Applicant BASF SE Inventor Ward Brullot

The present disclosure relates to a method of predicting physical properties, in particular performance parameters, of superabsorbent polymers.

9.20220001203METHODS AND SYSTEMS USING MODELING OF CRYSTALLINE MATERIALS FOR SPOT PLACEMENT FOR RADIATION THERAPY
US 06.01.2022
Int.Class A61N 5/10
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
5Radiation therapy
10X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
Appl.No 16918949 Applicant Varian Medical Systems International AG. Inventor Petri HIRVONEN

A crystalline structure modeling methodology that is conventionally used to model crystalline matter down to the atomic level is instead used to determine spot placement for radiation treatment. The cross-sectional shape of a treatment target is specified; locations (peaks) in a density field inside the shape are determined using the crystalline structure model; locations of spots in the treatment target for spot scanning are determined, where the locations correspond to the locations (peaks) inside the shape determined using the crystalline structure model; and the locations of the spots are stored as candidates for potential inclusion in a radiation treatment plan.

10.20220005553SUPPORTING METHOD, PRODUCING METHOD AND COMPUTER READABLE STORAGE MEDIUM
US 06.01.2022
Int.Class G16C 20/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
20Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
30Prediction of properties of chemical compounds, compositions or mixtures
Appl.No 17363429 Applicant ASAHI KASEI KABUSHIKI KAISHA Inventor Daisuke HOTTA

Provided is a supporting method of supporting concentration of maple sap in production of a maple syrup liquid, the supporting method including: acquiring current sap information including current color information and a current sugar content of the maple sap; and outputting predicted color information indicating a color of the maple syrup liquid predicted based on the current sap information and a target sugar content of a concentrated liquid obtained by concentrating the maple sap.