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IC_EX:G16B* 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.
2.111462821病原微生物分析鉴定系统及应用
CN 28.07.2020
Int.Class G16B 30/00
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
30ICT specially adapted for sequence analysis involving nucleotides or amino acids
Appl.No 202010281509.3 Applicant 广州微远基因科技有限公司 Inventor 许腾
本发明涉及一种病原微生物分析鉴定系统及应用,属于基因检测分析技术领域。该病原微生物分析鉴定系统包括:数据获取模块:用于获取高通量测序得到的基因测序数据;数据过滤模块:用于将依次进行低质量序列过滤、宿主序列过滤;数据比对模块:用于将序列比对至病原微生物基因组数据库中;物种比对模块:用于统计待分析序列;数据分析模块:用于计算共有比对序列集中各序列对比上每一个物种的相似度S和平均相似度值SMSi;物种序列模块:用于计算物种的总比对序列数SNTi;结果输出模块:用于进行生物信息学分析,得到病原微生物分析鉴定结果。该病原微生物分析鉴定系统不仅具有分析时间短、准确性高的优点;还可准确得检测混合感染,获得具体病原体信息。
3.111445955新型冠状病毒变异分析方法及应用
CN 24.07.2020
Int.Class G16B 30/10
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
30ICT specially adapted for sequence analysis involving nucleotides or amino acids
10Sequence alignment; Homology search
Appl.No 202010280808.5 Applicant 广州微远基因科技有限公司 Inventor 许腾
本发明涉及一种新型冠状病毒变异分析方法及应用,属于基因测序分析技术领域。该方法包括数据获取、数据过滤、数据比对、变异检测、坐标分析、坐标校正和变异注释步骤。该方法不仅可以对纯病毒培养物测序数据进行变异检测,还可以对宏基因组测序数据进行变异检测,使用范围更广。同时还能准确对核糖体移码进行注释,以及对联合突变进行准确注释,提高了变异检测的准确率。此外还可以对病毒变异进行动态监测。
4.3350351VIROME CAPTURE SEQUENCING PLATFORM, METHODS OF DESIGNING AND CONSTRUCTING AND METHODS OF USING
EP 25.07.2018
Int.Class C12N 15/10
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
NMICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
15Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
09Recombinant DNA-technology
10Processes for the isolation, preparation or purification of DNA or RNA
Appl.No 16847539 Applicant UNIV COLUMBIA Inventor LIPKIN WALTER IAN
The present invention provides novel methods, systems, tools, and kits for the simultaneous detection, identification and/or characterization of all viruses known or suspected to infect vertebrates. The methods, systems, tools, and kits described herein are based upon the virome capture sequencing platform ("VirCapSeq-VERT"), a novel platform developed by the inventors. The invention also provides methods and kits for designing and constructing of the virome capture sequencing platform.
5.111334868新型冠状病毒全基因组高通量测序文库的构建方法以及用于文库构建的试剂盒
CN 26.06.2020
Int.Class C40B 50/08
CCHEMISTRY; METALLURGY
40COMBINATORIAL TECHNOLOGY
BCOMBINATORIAL CHEMISTRY; LIBRARIES, e.g. CHEMICAL LIBRARIES, IN SILICO LIBRARIES
50Methods of creating libraries, e.g. combinatorial synthesis
08Liquid phase synthesis, i.e. wherein all library building blocks are in liquid phase or in solution during library creation; Particular methods of cleavage from the liquid support
Appl.No 202010225821.0 Applicant 福州福瑞医学检验实验室有限公司 Inventor 王洋
本发明提供新型冠状病毒全基因组高通量测序文库的构建方法以及用于文库构建的试剂盒。所述方法包括:1)病毒RNA反转录;2)利用锚定部分Illumina接头序列的多重扩增引物进行第一轮PCR反应;3)利用标签化Illumina文库扩增引物进行第二轮PCR反应,扩增产物经纯化,得到高通量测序文库。利用本发明提供的锚定多重扩增引物组合,能够对新型冠状病毒COVID‑19的基因组进行高效靶向富集,克服现有方法靶向性低,实验时效低,且易带入宿主背景污染的影响,有利于在较少的测序数据量、成本下,较短时间内完成COVID‑19的病毒全基因组测序,从而实现COVID‑19病毒的鉴别诊断以及病毒突变鉴定。
6.111354420一种用于COVID-19病毒药物治疗的siRNA研发方法
CN 30.06.2020
Int.Class G16B 40/00
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
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
Appl.No 202010154526.0 Applicant 吉林大学 Inventor 朱晓冬
本发明公开了一种用于COVID‑19病毒药物治疗的siRNA研发方法,其方法为:第一部分:基于多指标进行潜在高效siRNA的初步筛选,具体步骤为:步骤一、选取S基因序列作为靶序列;步骤二、得出相应的siRNA双链;步骤三、在36‑53%的siRNA序列;步骤四、筛选出自由能的siRNA;步骤五、定义并计算指标一;步骤六、在前50%的siRNA;步骤七、定义并计算指标二;步骤八、筛选出指标二>=5的siRNA;步骤九、定义并计算指标三;步骤十、排名在前50%的siRNA;步骤十一、直接取步骤十选出的全部候选siRNA;步骤十二、特异性靶向目标靶序列;步骤十三、取剩余的siRNA作为经过初步筛选的siRNA;第二部分:用机器学习模型进行干扰效率预测择优,有益效果:实现了安全可靠,高干扰效率的siRNA设计。
7.20190180846SYSTEM AND METHOD FOR ANALYSIS OF BIOLOGICAL DATA
US 13.06.2019
Int.Class G16B 40/20
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
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
20Supervised data analysis
Appl.No 16324562 Applicant MeMed Diagnostics Ltd. Inventor Kfir OVED

A method of analyzing biological data is disclosed. The method comprises obtaining biological data containing at least an expression level of MX dynamin-like GTPase 1 (MX1) and an expression level of C-reactive protein (CRP) in the blood of a subject, calculating a distance between a segment of a curved line and an axis defined by a direction, the distance being calculated at a point over the curved line defined by a coordinate along the direction, and correlating the distance to the presence of, absence of, or likelihood that the subject has, a bacterial infection.

8.20160320406Detection of an antibody against a pathogen
US 03.11.2016
Int.Class C40B 30/04
CCHEMISTRY; METALLURGY
40COMBINATORIAL TECHNOLOGY
BCOMBINATORIAL CHEMISTRY; LIBRARIES, e.g. CHEMICAL LIBRARIES, IN SILICO LIBRARIES
30Methods of screening libraries
04by measuring the ability to specifically bind a target molecule, e.g. antibody-antigen binding, receptor-ligand binding
Appl.No 15105722 Applicant THE BRIGHAM AND WOMEN'S HOSPITAL, INC. Inventor Stephen J. Elledge

Provided herein are methods of detecting an antibody directed against a pathogen and uses thereof. One aspect provided herein relates to a method for detecting an antibody against a pathogen in a subject, the method comprising: (a) contacting a reaction sample comprising a display library with a biological sample comprising antibodies, wherein the display library comprises a plurality of peptides derived from a plurality of pathogens, and (b) detecting a peptide bound to at least one antibody, thereby detecting an antibody capable of binding the peptide.

9.20200020420Method for Establishing Machine Learning Model for Predicting Toxicity of siRNA to Certain Type of Cells and Application Thereof
US 16.01.2020
Int.Class G16B 40/20
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
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
20Supervised data analysis
Appl.No 16465303 Applicant Hangzhou Converd Co., Ltd. Inventor Jinlu Cai

Provided is a method of establishing a machine learning model for predicting toxicity of siRNA to certain type of cells and application thereof. The method includes A) providing n siRNAs of 19-29 bp, wherein n≥2; B) obtaining input and output values for establishing the model from each siRNA, the input values being obtained by i) aligning each siRNA with genomic mRNAs and selecting complementary off-target genes having no more than 7 mismatched bases; ii) obtaining off-target weights according to mismatched bases' characteristic and mRNA's secondary structure in complementary region; iii) obtaining omic weights of the off-target genes using databases; iv) calculating omic eigenvalues as the input values, based on omic and off-target weights of all the off-target genes; the output values being obtained by conducting experiments with the siRNAs to obtain cell survival indexes; and C) calculating the input and output values of the n siRNAs through machine learning algorithm.

10.20190275101STRUCTURE 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.