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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

1.111081316Method 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.
2.111402968基于分子模拟发现山柰酚在COVID-19病毒中的新用途
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 上海交通大学 Inventor 魏冬青
本发明涉及基于分子模拟发现山柰酚在COVID‑19病毒中的新用途,发明人以COVID‑19的3CL主蛋白酶为靶标蛋白,从含有57278个中药小分子TCM的数据库中,虚拟筛选出了化合物山柰酚,通过山柰酚在细胞水平的抗新型冠状病毒实验,发明人发现山柰酚在62.50‑125.00µg/ml的浓度范围内对新型冠状病毒感染Vero E6细胞致细胞病变具有显著的抑制作用,这一发现从治疗靶标分析角度为中医药抗新型冠状病毒的科学性和潜在疗效提供了佐证。
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.

4.111477284一种交互式水泥生产仿真方法
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 盐城工学院 Inventor 张勤芳
本发明涉及一种交互式水泥生产仿真方法,属于计算机仿真建模领域。互式水泥生产仿真方法的步骤为,利用计算机建模平台对水泥厂的燃烧反应过程进行建模,利用能量守恒定律,对水泥厂烟气与物料的传热过程进行建模,将烟气和物料的各种组分热量以“焓”的形式进行计算;模拟水泥厂的工质流动特性,计算出工质在管路中的流量、流速;计算机建模平台通过OPC通讯方式反馈显示在工艺流程界面上,形成直观的仿真交互界面,通过交互界面对输入水泥生产参数进行修订,即可仿真出当前的水泥生产状态。本发明再通过多学科仿真平台绘制出水泥厂全厂的工艺流程界面,将建模计算结果通过OPC通讯方式显示在工艺流程界面上,形成了直观的交互界面。
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 MOSHIN, 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
7.111292800一种基于预测蛋白质亲和力的分子表征及其应用
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 中南大学 Inventor 曹东升
本发明公开了一种基于基于预测蛋白质亲和力的分子表征,采用以下方法构建得到:收集蛋白质靶标及其活性数据;选择计算每个蛋白质靶标的多种不同的描述符,并选择多种不同的机器学习算法;将计算的描述符与机器学习算法两两组合,形成多个不同的单一一模型;将单一一模型,计算平均概率值,作为分子与蛋白质靶标的结合强弱值,形成共识模型;在共识模型中,输入待测分子,输出计算靶标谱,形成分子表征。本发明从生物空间的角度阐述分子表征,将化合物和靶标之间的结合亲和力整合到分子表征中,通过机体的整体性预测得到新的活性或者生物信息;利用计算机快速得出结果,相较于基于试验的生物活性分子表征更加快速高效。
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).
9.1020200030769랜덤 포레스트 모델을 활용한 약물의 다중 표적 예측 방법
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 김동섭
인체에 존재하는 다수의 표적들에 대한 약물의 결합을 예측하는 방법이 개시된다. 표적들과 결합하는 약물의 구조 정보를 기계 학습하여 각 표적 별로 독립적인 랜덤 포레스트 예측 모델을 생성한 후, 그 예측 모델에 예측대상 약물의 구조 정보를 입력한다. 각 표적 별 랜덤 포레스트 예측모델에서, 표적들 각각에 대한 구조 정보가 입력된 예측대상 약물의 결합 가능성을 각 표적별 표적 점수로 생성하고, 각 표적별 표적 점수를 평가 데이터의 점수를 기반으로 약물과 표적이 상호작용할 확률인 약물-표적 결합 확률로 전환한다. 그 약물-표적 결합 확률에 기초하여 소정의 결합 확률값 이상을 갖는 표적들을 선별하여 상기 예측대상 약물의 예상 표적 리스트로 반환한다. 이런 알고리즘을 약물 표적 예측 서버에 구현하여, 사용자가 클라이언트 단말기를 통해 예측대상 약물의 최상위 표적을 검색할 수 있다.
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.