MX2023012857A - Metodo para predecir y despues producir una mezcla de muestras de microbiota. - Google Patents

Metodo para predecir y despues producir una mezcla de muestras de microbiota.

Info

Publication number
MX2023012857A
MX2023012857A MX2023012857A MX2023012857A MX2023012857A MX 2023012857 A MX2023012857 A MX 2023012857A MX 2023012857 A MX2023012857 A MX 2023012857A MX 2023012857 A MX2023012857 A MX 2023012857A MX 2023012857 A MX2023012857 A MX 2023012857A
Authority
MX
Mexico
Prior art keywords
mix
predicting
producing
prediction
microbiota samples
Prior art date
Application number
MX2023012857A
Other languages
English (en)
Inventor
Carole Schwintner
Hervé Affagard
Emmanuel Prestat
Original Assignee
Maat Pharma
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Maat Pharma filed Critical Maat Pharma
Publication of MX2023012857A publication Critical patent/MX2023012857A/es

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61KPREPARATIONS FOR MEDICAL, DENTAL OR TOILETRY PURPOSES
    • A61K35/00Medicinal preparations containing materials or reaction products thereof with undetermined constitution
    • A61K35/66Microorganisms or materials therefrom
    • A61K35/74Bacteria
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12NMICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N1/00Microorganisms, e.g. protozoa; Compositions thereof; Processes of propagating, maintaining or preserving microorganisms or compositions thereof; Processes of preparing or isolating a composition containing a microorganism; Culture media therefor
    • C12N1/20Bacteria; Culture media therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B15/00ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
    • G16B15/30Drug targeting using structural data; Docking or binding prediction
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biotechnology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medicinal Chemistry (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Organic Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Microbiology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Molecular Biology (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Biomedical Technology (AREA)
  • Biochemistry (AREA)
  • Virology (AREA)
  • Tropical Medicine & Parasitology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Veterinary Medicine (AREA)
  • Mycology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)

Abstract

La predicción de una mezcla de comunidades complejas de microorganismos incluye una predicción lineal, e.g., en base a matrices, que se corrige mediante un modelo de interacción, e.g., una matriz, aprendida de los perfiles de mezcla real de referencia y los perfiles de referencia lineales predichos correspondientes. La predicción inversa hace posible determinar que se realice una mezcla de muestras dado un perfil de mezcla objetivo.
MX2023012857A 2021-05-06 2022-05-05 Metodo para predecir y despues producir una mezcla de muestras de microbiota. MX2023012857A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP21172578.3A EP4086337A1 (en) 2021-05-06 2021-05-06 Method of predicting and then producing a mix of microbiota samples
PCT/EP2022/062226 WO2022234053A1 (en) 2021-05-06 2022-05-05 Method of predicting and then producing a mix of microbiota samples

Publications (1)

Publication Number Publication Date
MX2023012857A true MX2023012857A (es) 2023-11-13

Family

ID=75825723

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023012857A MX2023012857A (es) 2021-05-06 2022-05-05 Metodo para predecir y despues producir una mezcla de muestras de microbiota.

Country Status (10)

Country Link
EP (2) EP4086337A1 (es)
JP (1) JP2024516025A (es)
KR (1) KR20240006589A (es)
CN (1) CN117242169A (es)
AU (1) AU2022268615A1 (es)
BR (1) BR112023022862A2 (es)
CA (1) CA3215683A1 (es)
IL (1) IL308289A (es)
MX (1) MX2023012857A (es)
WO (1) WO2022234053A1 (es)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4369344A1 (en) * 2022-11-08 2024-05-15 Maat Pharma Determination of microbiota samples to produce a target mix product and prediction of mixes

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3035328B1 (fr) 2015-04-24 2019-08-23 Maat Pharma Procede de preparation d'un echantillon de microbiote fecal
FR3045383B1 (fr) 2015-12-18 2019-06-14 Maat Pharma Procede de lyophilisation d'un echantillon de microbiote fecal
ES2771223T3 (es) * 2016-02-14 2020-07-06 Yeda Res & Dev Diagnóstico, predicción y tratamiento de la obesidad recidivante basados en el microbioma
EP3606325A4 (en) * 2017-04-03 2021-01-20 Gusto Global, LLC RATIONAL DESIGN OF BIOTHERAPEUTICS BASED ON MICROBES
KR20200051587A (ko) * 2017-07-18 2020-05-13 소마젠 인크 미생물과 관련된 맹장-관련 컨디션에 대한 특성화를 위한 방법 및 시스템
FR3078627B1 (fr) 2018-03-09 2020-11-13 Maat Pharma Procedure de collecte de selles et procede de preparation d'un echantillon pour transplantation de microbiote fecal

Also Published As

Publication number Publication date
CN117242169A (zh) 2023-12-15
EP4086337A1 (en) 2022-11-09
WO2022234053A1 (en) 2022-11-10
AU2022268615A1 (en) 2023-11-09
JP2024516025A (ja) 2024-04-11
CA3215683A1 (en) 2022-11-10
IL308289A (en) 2024-01-01
KR20240006589A (ko) 2024-01-15
BR112023022862A2 (pt) 2024-01-23
EP4334434A1 (en) 2024-03-13

Similar Documents

Publication Publication Date Title
MX2023012857A (es) Metodo para predecir y despues producir una mezcla de muestras de microbiota.
Boyle et al. Integration of metabolic and quorum sensing signals governing the decision to cooperate in a bacterial social trait
EP3907671A3 (en) Method and apparatus for incrementally training model
Kontoravdi et al. Systematic development of predictive mathematical models for animal cell cultures
Kalcher et al. Quantification of future availabilities of recovered wood from Austrian residential buildings
Midani et al. AMiGA: software for automated analysis of microbial growth assays
Schaber Easy parameter identifiability analysis with COPASI
CN110765701A (zh) 一种led荧光粉胶涂覆厚度的预测方法
EP3141617A3 (en) Methods for predicting the outcome of a cancer in a patient by analysing gene expression
Qiu et al. Analytical results for a generalized model of bursty gene expression with molecular memory
Wienand et al. Non-selective evolution of growing populations
Wu et al. Enzyme expression kinetics by Escherichia coli during transition from rich to minimal media depends on proteome reserves
Zhou et al. Quantitative analysis of gene expression systems
Bi et al. Spatiotemporal control of genetic circuit with pulse generation for molecular communication
Peng et al. Spatial and temporal distribution of environmental microbiota in Chinese rice wine (Huangjiu) natural fermentation wineries
Survyla et al. Viable cell estimation of mammalian cells using off-gas-based oxygen uptake rate and aging-specific functional
EA201101257A1 (ru) Способ биоконтроля качества кетчупа и соусов на томатной основе
WO2020149719A3 (ko) 과민성대장증후군 특이적 미생물 바이오마커와 이를 이용하여 과민성대장증후군의 위험도를 예측하는 방법
Rathinavelu et al. Hybrid Model-based Framework for Soft Sensing and Forecasting Key Process Variables in the Production of Hyaluronic Acid by Streptococcus zooepidemicus
Assar et al. Reconciling competing models: a case study of wine fermentation kinetics
Wang et al. Mechanisms of information decoding in a cascade system of gene expression
CN105022755A (zh) 应用于显示装置的校正方法、校正装置以及建立色彩表现数据库的方法
Conacher et al. Gradient boosted regression as a tool to reveal key drivers of temporal dynamics in a synthetic yeast community
Makhoul Proton-Transfer-Reaction Mass-Spectrometry (PTR-MS) for the study of the aromatic potential of bakery starter strains
CN108763842B (zh) 基于弦函数的温湿度耦合加速贮存试验模型构建方法