MX2017013195A - Metodo y sistema electronico para predecir al menos un valor de eficacia biologica de una proteina identificado con un producto de programa de computadora. - Google Patents

Metodo y sistema electronico para predecir al menos un valor de eficacia biologica de una proteina identificado con un producto de programa de computadora.

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Publication number
MX2017013195A
MX2017013195A MX2017013195A MX2017013195A MX2017013195A MX 2017013195 A MX2017013195 A MX 2017013195A MX 2017013195 A MX2017013195 A MX 2017013195A MX 2017013195 A MX2017013195 A MX 2017013195A MX 2017013195 A MX2017013195 A MX 2017013195A
Authority
MX
Mexico
Prior art keywords
protein
predicting
fitness
computer program
program product
Prior art date
Application number
MX2017013195A
Other languages
English (en)
Inventor
Fontaine Nicolas
CADET Frédéric
Original Assignee
Peaccel
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=52875643&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=MX2017013195(A) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Peaccel filed Critical Peaccel
Publication of MX2017013195A publication Critical patent/MX2017013195A/es

Links

Classifications

    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/50—Mutagenesis
    • C—CHEMISTRY; METALLURGY
    • C07—ORGANIC CHEMISTRY
    • C07K—PEPTIDES
    • C07K2/00—Peptides of undefined number of amino acids; Derivatives thereof
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/10—Processes for the isolation, preparation or purification of DNA or RNA
    • C12N15/1034—Isolating an individual clone by screening libraries
    • C12N15/1089—Design, preparation, screening or analysis of libraries using computer algorithms
    • C—CHEMISTRY; METALLURGY
    • C40—COMBINATORIAL TECHNOLOGY
    • C40B—COMBINATORIAL CHEMISTRY; LIBRARIES, e.g. CHEMICAL LIBRARIES
    • C40B40/00—Libraries per se, e.g. arrays, mixtures
    • C40B40/04—Libraries containing only organic compounds
    • C40B40/10—Libraries containing peptides or polypeptides, or derivatives thereof
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • G06F17/142—Fast Fourier transforms, e.g. using a Cooley-Tukey type algorithm
    • 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
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • 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
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/10—Sequence alignment; Homology search

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Organic Chemistry (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Biochemistry (AREA)
  • Medicinal Chemistry (AREA)
  • Discrete Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Wood Science & Technology (AREA)
  • Zoology (AREA)
  • General Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Plant Pathology (AREA)

Abstract

Este método para predecir al menos un valor de eficacia biológica de una proteína se implementa en una computadora e incluye los siguientes pasos: codificar (100) la secuencia de aminoácido de la proteína en una secuencia numérica de acuerdo con una base de datos de la proteína, la secuencia numérica comprendiendo un valor para cada aminoácido de la secuencia; calcular (110) un espectro de proteína de acuerdo con la secuencia numérica; y para cada eficacia biológica: comparar (130) el espectro de proteína calculado con los valores de espectro de proteína de una base de datos predeterminada, dicha base de datos conteniendo valores de espectro de proteína para diferentes valores de dicha eficacia biológica, predecir (130) un valor de dicha eficacia biológica de acuerdo con el paso de comparación.
MX2017013195A 2015-04-14 2016-04-14 Metodo y sistema electronico para predecir al menos un valor de eficacia biologica de una proteina identificado con un producto de programa de computadora. MX2017013195A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP15305552.0A EP3082056B2 (en) 2015-04-14 2015-04-14 Method and electronic system for predicting at least one fitness value of a protein, related computer program product
PCT/EP2016/058287 WO2016166253A1 (en) 2015-04-14 2016-04-14 Method and electronic system for predicting at least one fitness value of a protein, related computer program product

Publications (1)

Publication Number Publication Date
MX2017013195A true MX2017013195A (es) 2018-05-22

Family

ID=52875643

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017013195A MX2017013195A (es) 2015-04-14 2016-04-14 Metodo y sistema electronico para predecir al menos un valor de eficacia biologica de una proteina identificado con un producto de programa de computadora.

Country Status (12)

Country Link
US (1) US11749377B2 (es)
EP (1) EP3082056B2 (es)
JP (1) JP6744909B2 (es)
KR (1) KR20170137106A (es)
CN (2) CN107924429B (es)
AU (1) AU2016247474B2 (es)
CA (1) CA2982608C (es)
DK (1) DK3082056T4 (es)
IL (1) IL254976B (es)
MX (1) MX2017013195A (es)
SG (1) SG11201708457VA (es)
WO (1) WO2016166253A1 (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050084907A1 (en) 2002-03-01 2005-04-21 Maxygen, Inc. Methods, systems, and software for identifying functional biomolecules
WO2019178056A1 (en) * 2018-03-12 2019-09-19 Massachusetts Institute Of Technology Computational platform for in silico combinatorial sequence space exploration and artificial evolution of peptides
EP3598327B1 (en) * 2018-07-20 2021-05-05 Peaccel Method and electronic system for predicting at least one fitness value of a protein via an extended numerical sequence, related computer program product
CN115240763B (zh) * 2022-07-06 2024-06-11 上海人工智能创新中心 基于无偏课程学习的蛋白质热力学稳定性预测方法
CN117116336B (zh) * 2023-10-18 2024-01-23 深圳新锐基因科技有限公司 基于内部原子波动改善蛋白结构柔性弱点的方法和装置

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5538897A (en) * 1994-03-14 1996-07-23 University Of Washington Use of mass spectrometry fragmentation patterns of peptides to identify amino acid sequences in databases
DE10021689A1 (de) * 2000-05-05 2001-12-06 Biotechnolog Forschung Gmbh Verfahren zur Untersuchung von Makromolekülen
US6728642B2 (en) * 2001-03-29 2004-04-27 E. I. Du Pont De Nemours And Company Method of non-linear analysis of biological sequence data
JP2008076406A (ja) * 2002-04-26 2008-04-03 Ajinomoto Co Inc タンパク質構造解析方法、タンパク質構造解析装置、プログラム、および、記録媒体
JPWO2006001397A1 (ja) * 2004-06-25 2008-04-17 独立行政法人産業技術総合研究所 細胞ネットワーク解析システム
CN101124581A (zh) * 2005-03-03 2008-02-13 伊利诺斯大学理事会 使用新的数据库检索模式鉴别和鉴定蛋白质
WO2008065180A1 (en) * 2006-11-30 2008-06-05 Tibotec Pharmaceuticals Ltd. Phenotype prediction method
WO2008129458A1 (en) * 2007-04-18 2008-10-30 Koninklijke Philips Electronics N.V. A method for data mining dna frequency based spectra
JP2013513790A (ja) * 2009-12-09 2013-04-22 アイティーアイ・スコットランド・リミテッド 検体の検出
CN103473483A (zh) * 2013-10-07 2013-12-25 谢华林 一种蛋白质结构与功能的在线预测方法
EP3598327B1 (en) * 2018-07-20 2021-05-05 Peaccel Method and electronic system for predicting at least one fitness value of a protein via an extended numerical sequence, related computer program product

Also Published As

Publication number Publication date
AU2016247474A1 (en) 2017-11-02
JP6744909B2 (ja) 2020-08-19
KR20170137106A (ko) 2017-12-12
CN114882947A (zh) 2022-08-09
US11749377B2 (en) 2023-09-05
EP3082056B2 (en) 2022-02-09
BR112017022196A2 (pt) 2019-04-16
CA2982608C (en) 2023-12-05
JP2018517219A (ja) 2018-06-28
US20180096099A1 (en) 2018-04-05
EP3082056B1 (en) 2019-03-27
CN107924429B (zh) 2022-12-09
DK3082056T3 (da) 2019-07-01
CN107924429A (zh) 2018-04-17
CA2982608A1 (en) 2016-10-20
IL254976B (en) 2021-10-31
WO2016166253A1 (en) 2016-10-20
EP3082056A1 (en) 2016-10-19
DK3082056T4 (da) 2022-05-02
AU2016247474B2 (en) 2020-07-30
SG11201708457VA (en) 2017-11-29
IL254976A0 (en) 2017-12-31

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