MX2021011623A - Prediccion del rendimiento de cultivos celulares en biorreactores. - Google Patents

Prediccion del rendimiento de cultivos celulares en biorreactores.

Info

Publication number
MX2021011623A
MX2021011623A MX2021011623A MX2021011623A MX2021011623A MX 2021011623 A MX2021011623 A MX 2021011623A MX 2021011623 A MX2021011623 A MX 2021011623A MX 2021011623 A MX2021011623 A MX 2021011623A MX 2021011623 A MX2021011623 A MX 2021011623A
Authority
MX
Mexico
Prior art keywords
bioreactor
cell culture
mechanistic models
computes
bioreactors
Prior art date
Application number
MX2021011623A
Other languages
English (en)
Inventor
William Leigh Johnson
Behrens Martin Rodrigo Cárcamo
Original Assignee
Amgen Inc
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 Amgen Inc filed Critical Amgen Inc
Publication of MX2021011623A publication Critical patent/MX2021011623A/es

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12M—APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY; APPARATUS FOR CULTURING MICROORGANISMS FOR PRODUCING BIOMASS, FOR GROWING CELLS OR FOR OBTAINING FERMENTATION OR METABOLIC PRODUCTS, i.e. BIOREACTORS OR FERMENTERS
    • C12M41/00—Means for regulation, monitoring, measurement or control, e.g. flow regulation
    • C12M41/48—Automatic or computerized control
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B35/00—ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10004—Still image; Photographic image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Biotechnology (AREA)
  • Chemical & Material Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Physiology (AREA)
  • Biochemistry (AREA)
  • Genetics & Genomics (AREA)
  • Analytical Chemistry (AREA)
  • Organic Chemistry (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Library & Information Science (AREA)
  • Quality & Reliability (AREA)
  • Epidemiology (AREA)
  • Microbiology (AREA)
  • Sustainable Development (AREA)
  • Radiology & Medical Imaging (AREA)
  • Bioethics (AREA)

Abstract

Un método computacional para modelar un biorreactor combina modelos mecanicistas de cinética de flujos metabólicos y análisis de balance de flujos para predecir el rendimiento del cultivo celular. Los modelos mecanicistas incluyen los efectos de las variables de proceso descriptivas del entorno extracelular, por ejemplo, la temperatura, la acidez, la osmolaridad y/o las concentraciones de metabolitos. El método restringe las tasas de flujo basándose en los modelos mecanicistas y calcula las tasas de flujo en función de los objetivos metabólicos adecuados. El método simula la evolución temporal de las variables del proceso del biorreactor basándose en las entradas del usuario y calcula las métricas de rendimiento para mostrarlas al usuario, para controlar un biorreactor y/o para entrenar un modelo de inteligencia artificial de un biorreactor.
MX2021011623A 2019-03-29 2020-03-27 Prediccion del rendimiento de cultivos celulares en biorreactores. MX2021011623A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962826910P 2019-03-29 2019-03-29
PCT/US2020/025444 WO2020205611A1 (en) 2019-03-29 2020-03-27 Predicting cell culture performance in bioreactors

Publications (1)

Publication Number Publication Date
MX2021011623A true MX2021011623A (es) 2021-10-13

Family

ID=72667059

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2021011623A MX2021011623A (es) 2019-03-29 2020-03-27 Prediccion del rendimiento de cultivos celulares en biorreactores.

Country Status (11)

Country Link
US (1) US20220208297A1 (es)
EP (1) EP3948276A4 (es)
JP (1) JP7524211B2 (es)
KR (1) KR20210146918A (es)
CN (1) CN113692535A (es)
AU (1) AU2020254517A1 (es)
CA (1) CA3133474A1 (es)
IL (1) IL286741A (es)
MX (1) MX2021011623A (es)
SG (1) SG11202110091RA (es)
WO (1) WO2020205611A1 (es)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2023276450A1 (es) * 2021-06-29 2023-01-05
WO2023127451A1 (en) * 2021-12-27 2023-07-06 Terumo Kabushiki Kaisha Simulation apparatus, simulation system, and simulation method
CN114675680B (zh) * 2022-03-01 2023-10-17 成都中医药大学 一种用于模拟胃肠动态参数的控制系统、方法及溶出仪
WO2024059658A2 (en) * 2022-09-14 2024-03-21 Stamm Vegh Corporation Transomic systems and methods of their use
NL2033094B1 (en) * 2022-09-21 2024-03-26 Simabs Nv Method for controlling a perfusion process in a bioreactor
WO2024102996A1 (en) * 2022-11-10 2024-05-16 National Resilience, Inc. Systems, methods, and compositions for generation of therapeutic cells
JP2024081214A (ja) * 2022-12-06 2024-06-18 花王株式会社 発酵生産プロセス支援方法
WO2024133134A1 (en) 2022-12-19 2024-06-27 Satzer Peter Scalable physical reactor representation
CN116913391B (zh) * 2023-07-20 2024-07-26 江南大学 一种生物制造过程的代谢通量优化求解方法和系统

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2002239855B2 (en) * 2001-01-10 2006-11-23 The Penn State Research Foundation Method and system for modeling cellular metabolism
US20030009099A1 (en) * 2001-07-09 2003-01-09 Lett Gregory Scott System and method for modeling biological systems
US8571690B2 (en) * 2006-10-31 2013-10-29 Rockwell Automation Technologies, Inc. Nonlinear model predictive control of a biofuel fermentation process
US9037445B2 (en) * 2007-07-10 2015-05-19 University of Pittsburgh—of the Commonwealth System of Higher Education Flux balance analysis with molecular crowding
US20120107921A1 (en) * 2008-06-26 2012-05-03 Colorado State University Research Foundation Model based controls for use with bioreactors
US9454640B2 (en) * 2009-02-26 2016-09-27 Intrexon Ceu, Inc. Mammalian cell line models and related methods
US8793004B2 (en) * 2011-06-15 2014-07-29 Caterpillar Inc. Virtual sensor system and method for generating output parameters
CN103440435B (zh) * 2013-08-19 2016-05-11 天津师范大学 预测影响特定代谢产物产量关键反应的通量域比较方法
CN105184049B (zh) * 2015-08-10 2018-02-13 上海交通大学 基于调控‑代谢网络整合模型预测微生物生长表型的方法
CN105574358B (zh) * 2015-12-14 2018-01-23 华东理工大学 体外再现体内反应的方法
EP3732485A1 (de) * 2017-12-29 2020-11-04 F. Hoffmann-La Roche AG Vorhersage des metabolischen zustands einer zellkultur

Also Published As

Publication number Publication date
CA3133474A1 (en) 2020-10-08
IL286741A (en) 2021-10-31
EP3948276A4 (en) 2022-12-14
US20220208297A1 (en) 2022-06-30
KR20210146918A (ko) 2021-12-06
EP3948276A1 (en) 2022-02-09
AU2020254517A1 (en) 2021-09-30
JP7524211B2 (ja) 2024-07-29
CN113692535A (zh) 2021-11-23
JP2022527282A (ja) 2022-06-01
WO2020205611A1 (en) 2020-10-08
SG11202110091RA (en) 2021-10-28

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