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1.WO/2020/234497CHITIN DEACETYLASE INHIBITORS AND USE THEREOF AS AGRICULTURAL FUNGICIDES, ARTHOPOCIDES AND NEMATICIDES
WO 26.11.2020
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 PCT/ES2020/070314 Applicant UNIVERSIDAD DE MÁLAGA Inventor PÉREZ GARCÍA, Alejandro
The invention relates to a method for identifying a compound with potential pesticide activity against an organism containing chitin, the compound being an inhibitor of chitin deacetylase (CDA). The method comprises cheminformatics and experimental approximations that include molecular topology equations to examine the experimental chemical and analysis databases of the identified compounds to test their activities as pesticides. More specifically, the invention relates to the experimental analysis of a set of 20 compounds and their use as fungicides, arthopocides and/or nematicides. In addition, the specificity of these compounds as CDA inhibitors was confirmed using enzyme inhibition testing and docking. The method of the invention is useful for identifying CDA inhibitors useful as agricultural fungicides or for controlling other pests such as insects or nematodes that are harmful for crops and/or mammals.
2.WO/2020/237237METHODS FOR DETECTING A LEVEL OF H. PYLORI IN A FECAL SAMPLE
WO 26.11.2020
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 PCT/US2020/034508 Applicant AMERICAN MOLECULAR LABORATORIES, INC. Inventor ZHOU, Yi
The present disclosure provides methods and materials for detecting a level of H. pylori in a sample.
3.WO/2020/234666DEEP LEARNING BASED SYSTEM AND METHOD FOR PREDICTION OF ALTERNATIVE POLYADENYLATION SITE
WO 26.11.2020
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 PCT/IB2020/053867 Applicant KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY Inventor GAO, Xin
A method for calculating usage of all alternative polyadenylation sites (PAS) in a genomic sequence includes receiving (1800) plural genomic sub-sequences (204I) centered on corresponding PAS; processing (1802) each genomic sub-sequence (204I) of the plural genomic sequences, with a corresponding neural network (210I) of plural neural networks (210I); supplying (1804) plural outputs (206I) of the plural neural networks (210I) to an interaction layer (220) that includes plural forward Bidirectional Long Short Term Memory Network (Bi-LSTM) cells (612I) and plural backward Bi-LSTM cells (614I), wherein each pair of a forward Bi-LSTM cell (612I) and a backward Bi-LSTM cell (614I) uniquely receives a corresponding output (206I), of the plural outputs (206I), from a corresponding neural network (210I); and generating (1806) a scalar value for each PAS, based on an output from a corresponding pair of the forward Bi-LSTM cell (612) and the backward Bi-LSTM cell (614).
4.WO/2020/236995METHOD FOR DE NOVO DETECTION, IDENTIFICATION AND FINE MAPPING OF MULTIPLE FORMS OF NUCLEIC ACID MODIFICATIONS
WO 26.11.2020
Int.Class C12Q 1/6869
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
6869Methods for sequencing
Appl.No PCT/US2020/033901 Applicant ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI Inventor FANG, Gang
The present disclosure encompasses computer-implemented methods for de novo discovery and characterization of chemical modifications of biomolecules using nanopore sequencing.
5.WO/2020/237184SYSTEMS AND METHODS FOR DETERMINING WHETHER A SUBJECT HAS A CANCER CONDITION USING TRANSFER LEARNING
WO 26.11.2020
Int.Class C12Q 1/6886
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
6886for cancer
Appl.No PCT/US2020/034317 Applicant GRAIL, INC. Inventor MAHER, M., Cyrus
Systems and methods for classifier training are provided. A first dataset is obtained that comprises, for each first subject, a corresponding plurality of bin values, each for a bin in a plurality of bins, and subject cancer condition. A feature extraction technique is applied to the first dataset thereby obtaining feature extraction functions, each of which is an independent linear or nonlinear function of bin values of the bins. A second dataset is obtained comprising, for each second subject, a corresponding plurality of bin values, each for a bin in the plurality of bins and subject cancer condition. The plurality of bin values of each corresponding subject in the second plurality are projected onto the respective feature extraction functions, thereby forming a transformed second dataset comprising feature values for each subject. The transformed second dataset and subject cancer condition serves to train a classifier on the cancer condition set.
6.WO/2020/235972METHOD AND DEVICE FOR PREDICTING GENOTYPE USING NGS DATA
WO 26.11.2020
Int.Class G16B 25/10
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
25ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
10Gene or protein expression profiling; Expression-ratio estimation or normalisation
Appl.No PCT/KR2020/006720 Applicant SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION Inventor HAN, Buhm
The present invention relates to a method and device for predicting genotype using NGS data. An embodiment includes: a step for acquiring NGS data on a subject of analysis; a step for applying an NGS-based prediction technique to acquire a first probability; a step for applying an SNP-based prediction technique to acquire a second probability; and a step for predicting the genotype in the NGS data on the subject of analysis on the basis of the first probability and the second probability.
7.WO/2020/235721METHOD FOR DISCOVERING MARKER FOR PREDICTING RISK OF DEPRESSION OR SUICIDE USING MULTI-OMICS ANALYSIS, MARKER FOR PREDICTING RISK OF DEPRESSION OR SUICIDE, AND METHOD FOR PREDICTING RISK OF DEPRESSION OR SUICIDE USING MULTI-OMICS ANALYSIS
WO 26.11.2020
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 PCT/KR2019/006160 Applicant UNIST(ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY) Inventor LEE, Se Min
The present invention relates to a method for discovering a marker for predicting the risk of depression or suicide using multi-omics analysis and machine learning, and the marker, discovered according to the method, for predicting the risk of depression or suicide. According to the method for discovering a marker for predicting the risk of depression or suicide, the highly accurate and reliable marker for predicting the risk of depression or suicide can be discovered, the risk of depression or suicide can be diagnosed early through a genetic test, and such risk can be prevented.
8.WO/2020/236941SYSTEMS AND METHODS FOR EVALUATING TUMOR FRACTION
WO 26.11.2020
Int.Class G16B 20/20
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
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
20Allele or variant detection, e.g. single nucleotide polymorphism detection
Appl.No PCT/US2020/033821 Applicant FOUNDATION MEDICINE, INC. Inventor FENDLER, Bernard
Disclosed herein are, at least in part, methods of determining a tumor fraction of a sample from a subject. The methods can include, for example, acquiring a value for a target variable associated with a subgenomic interval in the sample; determining, from the target variable, a certainty metric; accessing a determined relationship between a stored certainty metric and a stored tumor fraction; and determining, with reference to the certainty metric and the determined relationship, the tumor fraction of the sample.
9.WO/2020/236630METHODS AND SYSTEMS FOR DETECTING RESIDUAL DISEASE
WO 26.11.2020
Int.Class C12Q 1/6827
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
6813Hybridisation assays
6827for detection of mutation or polymorphism
Appl.No PCT/US2020/033217 Applicant ULTIMA GENOMICS, INC. Inventor ALMOGY, Gilad
Described herein are methods, devices, and systems for measuring a level of a disease (such as cancer), for example a fraction of nucleic acid molecules (such as cell-free DNA) in a sample from an individual that relate to diseased tissue (such as cancer tissue). Also described are methods, devices, and systems for measuring a presence, recurrence, progression, or regression of the disease in the individual. Certain methods include comparing, using nucleic acid sequencing data associated with the individual, a signal indicative of a rate at which sequenced loci selected from a personalized disease-associated small nucleotide variant (SNV) locus panel are derived from a diseased tissue to a background factor indicative of a sequencing false positive error rate, or a noise factor indicative of a sampling variance, across the selected loci.
10.WO/2020/234729DEEP PROTEOME MARKERS OF HUMAN BIOLOGICAL AGING AND METHODS OF DETERMINING A BIOLOGICAL AGING CLOCK
WO 26.11.2020
Int.Class G16B 25/10
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
25ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
10Gene or protein expression profiling; Expression-ratio estimation or normalisation
Appl.No PCT/IB2020/054644 Applicant INSILICO MEDICINE IP LIMITED Inventor ALIPER, Aleksandr M.
A method of creating a biological aging clock for a subject can include: (a) receiving a proteome signature derived from a tissue or organ of the subject; (b) creating input vectors based on the proteome signature; (c) inputting the input vectors into a machine learning platform; (d) generating a predicted biological aging clock of the tissue or organ based on the input vectors by the machine learning platform, wherein the biological aging clock is specific to the tissue or organ; and (e) preparing a report that includes the biological aging clock that identifies a predicted biological age of the tissue or organ.