BR112021024915A2 - Técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados - Google Patents

Técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados

Info

Publication number
BR112021024915A2
BR112021024915A2 BR112021024915A BR112021024915A BR112021024915A2 BR 112021024915 A2 BR112021024915 A2 BR 112021024915A2 BR 112021024915 A BR112021024915 A BR 112021024915A BR 112021024915 A BR112021024915 A BR 112021024915A BR 112021024915 A2 BR112021024915 A2 BR 112021024915A2
Authority
BR
Brazil
Prior art keywords
techniques
machine learning
protein
polypeptide
methods
Prior art date
Application number
BR112021024915A
Other languages
English (en)
Inventor
Robert Parry Bradley
Brian Reed
Michael Meyer
Sabrina Rashid
Zhizhuo Zhang
Original Assignee
Quantum Si 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 Quantum Si Inc filed Critical Quantum Si Inc
Publication of BR112021024915A2 publication Critical patent/BR112021024915A2/pt

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
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/20—Sequence assembly
    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield 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
    • G06N3/04—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
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • 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
    • G16B40/30—Unsupervised data analysis
    • 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
    • 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
    • G06N3/048—Activation functions

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Physiology (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioethics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados. a presente invenção refere-se a sistemas e técnicas para a identificação de polipeptídios ao usar os dados coletados por um dispositivo de sequenciamento de proteínas. o dispositivo de sequenciamento de proteínas pode coletar os dados obtidos das emissões de luz detectadas por etiquetas luminescentes durante as interações de ligação dos reagentes com aminoácidos do polipeptídio. as emissões de luz podem resultar da aplicação de energia de excitação às etiquetas luminescentes. o dispositivo pode fornecer os dados como uma entrada a um modelo de machine learning treinado para obter a saída, a qual pode ser usada para identificar o polipeptídio. a saída pode indicar, para cada local de uma pluralidade de locais no polipeptídio, uma ou mais possibilidades de que um ou mais respectivos aminoácidos está presente no local. a saída pode ser combinada a uma sequência de aminoácidos que especifique uma proteína.
BR112021024915A 2019-06-12 2020-06-12 Técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados BR112021024915A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962860750P 2019-06-12 2019-06-12
PCT/US2020/037541 WO2020252345A1 (en) 2019-06-12 2020-06-12 Techniques for protein identification using machine learning and related systems and methods

Publications (1)

Publication Number Publication Date
BR112021024915A2 true BR112021024915A2 (pt) 2022-01-18

Family

ID=71409529

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112021024915A BR112021024915A2 (pt) 2019-06-12 2020-06-12 Técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados

Country Status (10)

Country Link
US (1) US20200395099A1 (pt)
EP (1) EP3966824A1 (pt)
JP (1) JP2022536343A (pt)
KR (1) KR20220019778A (pt)
CN (1) CN115989545A (pt)
AU (1) AU2020290510A1 (pt)
BR (1) BR112021024915A2 (pt)
CA (1) CA3142888A1 (pt)
MX (1) MX2021015347A (pt)
WO (1) WO2020252345A1 (pt)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022507516A (ja) 2018-11-15 2022-01-18 クアンタム－エスアイ インコーポレイテッド タンパク質シーケンシングのための方法及び組成物
US11126890B2 (en) * 2019-04-18 2021-09-21 Adobe Inc. Robust training of large-scale object detectors with a noisy dataset
JP2023500477A (ja) * 2019-10-28 2023-01-06 クアンタム－エスアイ インコーポレイテッド ポリペプチド配列決定のための高濃度化サンプルを調製する方法
AU2021231904A1 (en) 2020-03-06 2022-09-22 Bostongene Corporation Determining tissue characteristics using multiplexed immunofluorescence imaging
CN114093415B (zh) * 2021-11-19 2022-06-03 中国科学院数学与系统科学研究院 肽段可检测性预测方法及系统
CN117744748B (zh) * 2024-02-20 2024-04-30 北京普译生物科技有限公司 一种神经网络模型训练、碱基识别方法及装置、电子设备

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050119454A1 (en) * 2000-01-24 2005-06-02 The Cielo Institute, Inc. Algorithmic design of peptides for binding and/or modulation of the functions of receptors and/or other proteins
CA2466792A1 (en) * 2003-05-16 2004-11-16 Affinium Pharmaceuticals, Inc. Evaluation of spectra
EP2389585A2 (en) * 2009-01-22 2011-11-30 Li-Cor, Inc. Single molecule proteomics with dynamic probes
US20120015825A1 (en) * 2010-07-06 2012-01-19 Pacific Biosciences Of California, Inc. Analytical systems and methods with software mask
KR102215219B1 (ko) * 2013-01-31 2021-02-16 코덱시스, 인코포레이티드 승법형 모델을 이용하여 생체분자를 확인하기 위한 방법, 시스템, 및 소프트웨어
US9212996B2 (en) * 2013-08-05 2015-12-15 Tellspec, Inc. Analyzing and correlating spectra, identifying samples and their ingredients, and displaying related personalized information
CN109872771A (zh) * 2013-09-27 2019-06-11 科德克希思公司 基于定向进化的方法、装置和系统
JP6930911B2 (ja) * 2014-08-08 2021-09-01 クアンタム−エスアイ インコーポレイテッドＱｕａｎｔｕｍ−Ｓｉ Ｉｎｃｏｒｐｏｒａｔｅｄ 分子の探索、検出、および解析のための外部光源を備える集積装置
CA3208970A1 (en) * 2014-09-15 2016-05-06 Board Of Regents, The University Of Texas System Improved single molecule peptide sequencing
WO2018132752A1 (en) * 2017-01-13 2018-07-19 Massachusetts Institute Of Technology Machine learning based antibody design
JP7277378B2 (ja) * 2017-04-18 2023-05-18 エックス－ケム インコーポレイテッド 化合物を同定するための方法
US11573239B2 (en) * 2017-07-17 2023-02-07 Bioinformatics Solutions Inc. Methods and systems for de novo peptide sequencing using deep learning
US11587644B2 (en) * 2017-07-28 2023-02-21 The Translational Genomics Research Institute Methods of profiling mass spectral data using neural networks
WO2019152943A1 (en) * 2018-02-02 2019-08-08 Arizona Board Of Regents, For And On Behalf Of, Arizona State University Methods, systems, and media for predicting functions of molecular sequences
JP7047115B2 (ja) * 2018-02-17 2022-04-04 リジェネロン・ファーマシューティカルズ・インコーポレイテッド Ｍｈｃペプチド結合予測のためのｇａｎ－ｃｎｎ
US20210151123A1 (en) * 2018-03-08 2021-05-20 Jungla Inc. Interpretation of Genetic and Genomic Variants via an Integrated Computational and Experimental Deep Mutational Learning Framework
JP2022507516A (ja) * 2018-11-15 2022-01-18 クアンタム－エスアイ インコーポレイテッド タンパク質シーケンシングのための方法及び組成物

Also Published As

Publication number Publication date
EP3966824A1 (en) 2022-03-16
WO2020252345A1 (en) 2020-12-17
WO2020252345A9 (en) 2022-02-10
JP2022536343A (ja) 2022-08-15
CA3142888A1 (en) 2020-12-17
US20200395099A1 (en) 2020-12-17
MX2021015347A (es) 2022-04-06
AU2020290510A1 (en) 2022-02-03
KR20220019778A (ko) 2022-02-17
CN115989545A (zh) 2023-04-18

Similar Documents

Publication Publication Date Title
BR112021024915A2 (pt) Técnicas para a identificação de proteína ao usar aprendizagem de máquina e sistemas e métodos relacionados
BR112021026501A2 (pt) Instrumento cirúrgico compreendendo um sensor de rfid alinhado
BR112018073172A8 (pt) Método para a identificação de um tipo de erva daninha, sistema de identificação e produto de programa de computador
BR112021026438A2 (pt) Conjuntos de rfid cirúrgicos para controle de configuração operacional de instrumento
BR112017002489A2 (pt) sistema óptico e chip de ensaio para sondar, detectar e analisar moléculas
MX2017010142A (es) Sistemas y metodos para determinar variacion estructural y ajuste de fases con datos de recuperacion de variantes.
McIlwain et al. Detecting cross-linked peptides by searching against a database of cross-linked peptide pairs
MX2022005698A (es) Metodos y sistemas para identificar, clasificar y/o categorizar secuencias geneticas.
CA2798517A1 (en) Systems and methods of detecting and demonstrating hair damage via evaluation of protein fragments
BR112018014870A2 (pt) método e sistema para análise de dados espectrais
BR112019005810A2 (pt) método para sequenciamento de microbioma melhorado para caracterizar uma afecção relacionada a micro-organismo para um usuário associado a uma amostra biológica, e método para sequenciamento de microbioma melhorado
BR112016015452A2 (pt) Método e sistema para atualizar automaticamente uma base de dados de informações de relacionamento identificando uma existência de relações comerciais diáticas ou de várias contrapartes entre partes pela utilização de processo recursivo multidimensional
ATE532072T1 (de) Verfahren und vorrichtung zur beurteilung von polypeptidaggregation
CN105320592A (zh) 一种基于fog数据的软件验证方法及装置
Gross et al. Cluster based feedback provision strategies in intelligent tutoring systems
BR112021009441A2 (pt) Multiplexação de variantes virais de alta evolução com sherlock
CN109858363A (zh) 一种狗鼻纹特征点的检测方法、装置、系统及存储介质
RU2017138387A (ru) Система и способ идентификации клонов
BR112018014962A2 (pt) avaliação formativa em tempo real e recomendação do plano de aula com avaliação da aprendizagem corretiva
BR112019007138A2 (pt) método e sistema de análise para testagem de uma amostra
EA202193198A1 (ru) Способы идентификации и количественного определения белка клетки-хозяина
BR112019010969A8 (pt) Dispositivo, sistema e método para avaliação do desempenho da promoção de economia de energia
DE60041773D1 (de) Der effekt von steroiden auf ndma-rezeptoren beruht auf der zusammensetzung der untereinheiten
EA202091459A1 (ru) Идентификация модификаций цитозина без применения бисульфита с разрешением до одного основания
TR201902414A2 (tr) Dna, rna ve protei̇n di̇zi̇li̇mleri̇ni̇n yorumlanmasina yöneli̇k örüntü tanima tabanli bi̇r yöntem

Legal Events

Date Code Title Description
B11A Dismissal acc. art.33 of ipl - examination not requested within 36 months of filing
B11Y Definitive dismissal - extension of time limit for request of examination expired [chapter 11.1.1 patent gazette]