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IC_EX:G16C* AND EN_ALLTXT:(coronavirus OR coronaviruses OR coronaviridae OR coronavirinae OR orthocoronavirus OR orthocoronaviruses OR orthocoronaviridae OR orthocoronavirinae OR betacoronavirus OR betacoronaviruses OR betacoronaviridae OR betacoronavirinae OR sarbecovirus OR sarbecoviruses OR sarbecoviridae OR sarbecovirinae OR "severe acute respiratory syndrome" OR sars OR "2019 ncov" OR covid)

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Analysis

1.111402968Discovery of novel application of kaempferol in inhibition of COVID-19 viruses based on molecular simulation
CN 10.07.2020
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 202010247402.7 Applicant SHANGHAI JIAO TONG UNIVERSITY Inventor WEI DONGQING
The invention relates to discovery of novel application of kaempferol in inhibition of COVID-19 viruses based on molecular simulation. According to the invention, 3CL main protease of COVID-19 virusesis used as a target protein, the compound kaempferol is virtually screened out from a database containing 57278 traditional Chinese medicine (TCM) small molecules; results of anti-COVID-19 coronavirus experiments of kaempferol at a cellular level prove that kaempferol has a remarkable inhibition effect on cytopathy caused by infection of Vero E6 cells with the novel coronaviruses in a concentration range of 62.50 to 125.00 [mu]g/ml; and the discovery provides evidences for scientificity and potential curative effect of traditional Chinese medicines against the novel coronaviruses from the perspective of treatment target analysis.
2.111081316Method and device for screening candidate drugs for COVID-19
CN 28.04.2020
Int.Class G16B 20/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
30Detection of binding sites or motifs
Appl.No 202010216192.5 Applicant GENEIS TECHNOLOGY (BEIJING) CO., LTD. Inventor PENG LIHONG
The invention discloses a method and device for screening COVID-19 drugs. On the basis of obtaining sequence similarity information between viruses and structure similarity information between pharmaceutical chemical structures, a heterogeneous network based on virus sequence similarity and drug similarity is constructed, and training is performed on the constructed data set by using a random walkalgorithm so as to obtain a COVID-19 drug screening model. Based on the drug screening model, drugs related to new coronal pneumonia can be effectively screened. According to the method, the researchand development cost of the COVID-19 drugs can be reduced, and the screening speed and accuracy of the COVID-19 drugs exceed those of representative methods applied to other bioinformatics fields.
3.20190275101STRUCTURE OF GII.4 NOROVIRUS PROTEASE - DESIGN OF BROAD-SPECTRUM PROTEASE INHIBITORS
US 12.09.2019
Int.Class A61K 38/06
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
KPREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
38Medicinal preparations containing peptides
04Peptides having up to 20 amino acids in a fully defined sequence; Derivatives thereof
06Tripeptides
Appl.No 16335349 Applicant Baylor College of Medicine Inventor B. Venkataram Prasad

The present disclosure concerns inhibitors of Norovirus protease that are suitable for use against any genotype of Norovirus, including at least GII.4 Norovirus proteases. In particular embodiments, specific compositions are encompassed, including their use for prevention or treatment of Norovirus infection in an individual.

4.111477284Interactive cement production simulation method
CN 31.07.2020
Int.Class G16C 20/10
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
10Analysis or design of chemical reactions, syntheses or processes
Appl.No 202010254672.0 Applicant YANCHENG INSTITUTE OF TECHNOLOGY Inventor ZHANG QINFANG
The invention relates to an interactive cement production simulation method, and belongs to the field of computer simulation modeling. The interactive cement production simulation method comprises thefollowing steps: modeling a combustion reaction process of a cement plant by utilizing a computer modeling platform, modeling a heat transfer process of flue gas and materials of the cement plant byutilizing the energy conservation law, and calculating heat of various components of the flue gas and the materials in an enthalpy form; simulating the working medium flow characteristics of the cement plant, and calculating the flow and flow velocity of the working medium in pipelines. A computer modeling platform feeds back and displays the results on a technological process interface in an OPCcommunication mode, a visual simulation interaction interface is formed, input cement production parameters are revised through the interaction interface, and then the current cement production statecan be simulated. A technological process interface of the whole cement plant is drawn through the multidisciplinary simulation platform, modeling calculation results are displayed on the technological process interface in an OPC communication mode, and a visual interaction interface is formed.
5.110619929Power station pulverized coal boiler flue gas flow soft-measurement method
CN 27.12.2019
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 201910890192.0 Applicant HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY Inventor TAN PENG
The invention proposes a power station pulverized coal boiler flue gas flow soft-measurement method. Collected coal quality data (including industrial analysis and elemental analysis) are used to calculate the theoretical air volume and the theoretical flue gas volume of coal through elemental analysis. The relational models of industrial analysis and the theoretical air volume and of industrial analysis and the theoretical flue gas volume of coal are established respectively through a machine learning algorithm. The models can use industrial analysis to directly estimate the theoretical fluegas volume and theoretical air volume of the coal type. Through the models, the theoretical flue gas volume and the theoretical air volume of the coal type, the coal feed of a boiler coal mill, the excess air coefficient of a boiler, and the proportion of CO in flue gas can be acquired to calculate the flue gas volume of the boiler.
6.1020170084706DEVICE FOR CREATING THREE-DIMENSIONAL IMAGES FOR POLYMERIC SOLUTE SUBSTANCES EXISTING IN LIQUID SOLVENT, AND METHOD THEREFOR
KR 20.07.2017
Int.Class G01N 33/68
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48Biological material, e.g. blood, urine; Haemocytometers
50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
68involving proteins, peptides or amino acids
Appl.No 1020170005574 Applicant 한밭대학교 산학협력단 Inventor SHIN, SANG MO
The present invention relates to a device for creating three-dimensional (3D) images for polymeric substances, and a method therefor. To this end, the device for creating 3D images comprises: a specimen state regulator regulating a temperature or pressure of a solid specimen in order to keep the solid specimen containing a plurality of polymeric substances stayed in a solid form; an image collector collecting partial images of the plurality of polymeric substances exposed on a surface of the solid specimen; a low molecule image database storing images on constituent low molecular substances; and an image processor matching up the collected partial images with the images in the low molecule image database, so as to create 3D images on the polymeric substances. COPYRIGHT KIPO 2017
7.111292800Molecular characterization based on prediction of protein affinity and application thereof
CN 16.06.2020
Int.Class G16B 15/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
15ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
30Drug targeting using structural data; Docking or binding prediction
Appl.No 202010069615.5 Applicant CENTRAL SOUTH UNIVERSITY Inventor CAO DONGSHENG
The invention discloses molecular characterization based on prediction of protein affinity. The molecular characterization is constructed by adopting the following method: collecting a protein targetand activity data thereof; selecting and calculating a plurality of different descriptors of each protein target, and selecting a plurality of different machine learning algorithms; combining the calculated descriptors with a machine learning algorithm in pairs to form a plurality of different single models; calculating an average probability value of a single model, and forming a consensus modelby taking the average probability value as a binding strength value of a molecule and a protein target; and in the consensus model, inputting a to-be-detected molecule, outputting and calculating a target spectrum, and forming molecular characterization. Molecular characterization is described from the perspective of biological space, binding affinity between a compound and a target is integratedinto the molecular characterization, and new activity or biological information is obtained through integrity prediction of an organism; a result is quickly obtained by utilizing a computer, and is quicker and more efficient compared with test-based bioactive molecule characterization.
8.2017315769Methods for the detection of genomic copy changes in DNA samples
AU 01.03.2018
Int.Class C12Q 1/68
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
Appl.No 2017315769 Applicant Resolution Bioscience, Inc. Inventor
The present invention includes compositions and methods useful for the detection of a mutational change, SNP, translocation, inversion, deletion, change in copy number, or other genetic variation within a sample of cellular genomic DNA or cell-free DNA (cfDNA). In some embodiments, the compositions and methods of the present invention provide an extremely high level of resolution that is particularly useful in detecting copy number variations in a small fraction of the total cfDNA from a biological sample (e.g., blood).
9.1020200030769METHOD FOR PREDICTING MULTIPLE TARGETS OF DRUG USING RANDOM FOREST MODEL
KR 23.03.2020
Int.Class G16B 15/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
15ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
Appl.No 1020180109415 Applicant 한국과학기술원 Inventor KIM DONG SUP
Disclosed is a method for predicting the binding of drugs against multiple targets present in a human body. According to the present invention, an independent random forest prediction model for each target is generated by performing machine-learning for structure information on a drug binding to targets, and then the structure information on the drug to be predicted is input to the prediction model. In the random forest prediction model for each target, a binding probability of the drug to be predicted, into which the structure information on each target is input, is generated as a target score for each target, and a target score for each target is converted into a drug-target binding probability, which is a probability of interaction between the drug and the targets on the basis of a score of evaluation data. The targets having a predetermined binding probability value or more are selected based on the drug-target binding probability, and is returned to a predicted target list of the drug to be predicted. An algorithm is realized in a drug target predicting server, thereby enabling a user to search for the highest target of the drug to be predicted through a client terminal. COPYRIGHT KIPO 2020
10.1020200032452해상 유출유의 이동 추적 방법 및 장치
KR 26.03.2020
Int.Class G01V 9/00
GPHYSICS
01MEASURING; TESTING
VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
9Prospecting or detecting by methods not provided for in groups G01V1/-G01V8/115
Appl.No 1020180111502 Applicant 한국해양과학기술원 Inventor 양찬수
본 발명에 따른 해상 유출유의 이동 추적 방법은, 인공위성으로부터 해상 유출유 발생 영역의 원격탐사정보를 수신하는 단계; 상기 해상 유출유 발생 영역의 해상정보 및 기상정보를 수신하는 단계; 상기 원격탐사정보로부터 상기 유출유의 위치를 가상입자 데이터로 가공하는 단계;및 상기 해상정보, 기상정보 및 풍속과 해류의 공간적인 변화를 반영한 비율에 대한 계수값을 이용하여 상기 가상입자의 이동을 정방향 또는 역방향으로 추적하여 상기 해상 유출유의 궤적을 추적하는 단계;를 포함하는 점에 그 특징이 있다.본 발명에 따르면, 위성 이미지를 초기 입력 데이터로 사용하고, 해상 유출유의 위치에 대응하는 가상입자의 과거로의 이동 추정을 통하여 해상 유출유의 이동을 추정하여 해상 유출유의 궤적을 추적할 수 있다.특히, 상기 가상입자의 이동을 역방향으로 추적하여 해상 유출유의 초기위치를 추정할 수 있다.