CA3247366A1 - Designing biomolecule sequence variants with pre-specified attributes - Google Patents

Designing biomolecule sequence variants with pre-specified attributes

Info

Publication number
CA3247366A1
CA3247366A1 CA3247366A CA3247366A CA3247366A1 CA 3247366 A1 CA3247366 A1 CA 3247366A1 CA 3247366 A CA3247366 A CA 3247366A CA 3247366 A CA3247366 A CA 3247366A CA 3247366 A1 CA3247366 A1 CA 3247366A1
Authority
CA
Canada
Prior art keywords
antibody
training
sequence variants
model
computing system
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CA3247366A
Other languages
English (en)
French (fr)
Inventor
Roberto Spreafico
Goran Rakocevic
Ariel Schwartz
Joshua MEIER
Matthew Weinstock
Nebojsa Tijanic
Original Assignee
Absci Corp
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 Absci Corp filed Critical Absci Corp
Publication of CA3247366A1 publication Critical patent/CA3247366A1/en
Pending legal-status Critical Current

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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/30Detection of binding sites or motifs
    • 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
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • 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
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Molecular Biology (AREA)
  • Analytical Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Genetics & Genomics (AREA)
  • Chemical & Material Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioethics (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Computational Linguistics (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Peptides Or Proteins (AREA)
  • Machine Translation (AREA)
CA3247366A 2022-01-07 2023-01-05 Designing biomolecule sequence variants with pre-specified attributes Pending CA3247366A1 (en)

Applications Claiming Priority (15)

Application Number Priority Date Filing Date Title
US202263297679P 2022-01-07 2022-01-07
US63/297,679 2022-01-07
US202263320067P 2022-03-15 2022-03-15
US63/320,067 2022-03-15
US202263338433P 2022-05-04 2022-05-04
US202263338398P 2022-05-04 2022-05-04
US63/338,433 2022-05-04
US63/338,398 2022-05-04
US202263339450P 2022-05-07 2022-05-07
US63/339,450 2022-05-07
US202263398222P 2022-08-15 2022-08-15
US63/398,222 2022-08-15
US18/046,849 US20230268026A1 (en) 2022-01-07 2022-10-14 Designing biomolecule sequence variants with pre-specified attributes
US18/046,849 2022-10-14
PCT/US2023/060167 WO2023133462A1 (en) 2022-01-07 2023-01-05 Designing biomolecule sequence variants with pre-specified attributes

Publications (1)

Publication Number Publication Date
CA3247366A1 true CA3247366A1 (en) 2023-07-13

Family

ID=85227256

Family Applications (1)

Application Number Title Priority Date Filing Date
CA3247366A Pending CA3247366A1 (en) 2022-01-07 2023-01-05 Designing biomolecule sequence variants with pre-specified attributes

Country Status (9)

Country Link
US (1) US20230268026A1 (https=)
EP (1) EP4460827A1 (https=)
JP (1) JP2025504384A (https=)
KR (1) KR20240141868A (https=)
AU (1) AU2023204806A1 (https=)
CA (1) CA3247366A1 (https=)
IL (1) IL313957A (https=)
MX (1) MX2024008515A (https=)
WO (1) WO2023133462A1 (https=)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12282941B2 (en) * 2022-06-30 2025-04-22 Constant Contact, Inc. Email subject line generation method
CN115747089A (zh) * 2022-07-06 2023-03-07 河南省巴饲福微生物技术研究院 一种生产谷胱甘肽的重组酿酒酵母菌及其构建方法
US20240047006A1 (en) * 2022-07-07 2024-02-08 Lurong Pan Artificial intelligence system and method for designing protein sequences
WO2025058962A1 (en) * 2023-09-11 2025-03-20 Absci Corporation High-throughput methods for kinetic characterization, quantifying and optimizing antibodies and antibody fragments expression in bacteria
CN117079716B (zh) * 2023-09-13 2024-04-05 江苏运动健康研究院 一种基于基因检测的肿瘤用药方案的深度学习预测方法
CN116994654B (zh) * 2023-09-27 2023-12-29 北京立康生命科技有限公司 一种用于鉴定与mhc-i/hla-i类结合及tcr识别肽段的方法、设备及存储介质
US20250109209A1 (en) 2023-10-03 2025-04-03 Absci Corporation Tl1a associated antibody compositions and methods of use
WO2025122885A1 (en) 2023-12-08 2025-06-12 Absci Corporation Anti-her2 associated antibody compositions designed by artificial intelligence and methods of use
WO2025144700A1 (en) 2023-12-27 2025-07-03 Absci Corporation Nanobody library screening using bacterial surface display
WO2025155628A1 (en) * 2024-01-16 2025-07-24 The Regents Of The University Of California Interpretable deep learning predicts chemoresistance
WO2025170869A1 (en) * 2024-02-06 2025-08-14 Aikium Inc. Multi-objective designed molecules and generation thereof
US20250279158A1 (en) * 2024-02-29 2025-09-04 Lurong Pan Computer-assisted method and system for evaluating and modifying immunogenicity of protein sequences using a protein large language model
WO2025255259A1 (en) * 2024-06-06 2025-12-11 Generate Biomedicines, Inc. Machine learning-guided generation of cross-reactive neutralizing antigen binding molecules against viral proteins
WO2026019845A1 (en) * 2024-07-16 2026-01-22 Hepta Bio, Inc. Generalizable transformer for disease state classification from liquid biopsies

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8178338B2 (en) 2005-07-01 2012-05-15 The Regents Of The University Of California Inducible expression vectors and methods of use thereof
CN107119095B (zh) 2008-01-03 2022-07-05 康乃尔研究基金会有限公司 原核生物中的糖基化蛋白表达
WO2017106583A1 (en) 2015-12-15 2017-06-22 Absci, Llc Cytoplasmic expression system
US20150353940A1 (en) 2013-08-05 2015-12-10 Absci, Llc Vectors for use in an inducible coexpression system
EP3924971A1 (en) 2019-02-11 2021-12-22 Flagship Pioneering Innovations VI, LLC Machine learning guided polypeptide analysis
WO2020208555A1 (en) * 2019-04-09 2020-10-15 Eth Zurich Systems and methods to classify antibodies
EP4008006A1 (en) 2019-08-02 2022-06-08 Flagship Pioneering Innovations VI, LLC Machine learning guided polypeptide design
MX2022008801A (es) 2020-01-15 2022-11-07 Absci Corp Enriquecimiento de células específico de la actividad.
JP2023513578A (ja) 2020-02-11 2023-03-31 アブサイ コーポレーション 近接アッセイ

Also Published As

Publication number Publication date
US20230268026A1 (en) 2023-08-24
WO2023133462A1 (en) 2023-07-13
IL313957A (en) 2024-08-01
KR20240141868A (ko) 2024-09-27
JP2025504384A (ja) 2025-02-12
EP4460827A1 (en) 2024-11-13
AU2023204806A1 (en) 2024-07-25
MX2024008515A (es) 2024-08-27

Similar Documents

Publication Publication Date Title
US20230268026A1 (en) Designing biomolecule sequence variants with pre-specified attributes
US20250218531A1 (en) Unlocking de novo antibody design with generative artificial intelligence
Bachas et al. Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness
Zhang et al. Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism
Li et al. Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries
Shuai et al. IgLM: Infilling language modeling for antibody sequence design
Taft et al. Deep mutational learning predicts ACE2 binding and antibody escape to combinatorial mutations in the SARS-CoV-2 receptor-binding domain
Prihoda et al. BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning
Hanning et al. Deep mutational scanning for therapeutic antibody engineering
Parkinson et al. The RESP AI model accelerates the identification of tight-binding antibodies
Younger et al. Engineering modular biosensors to confer metabolite-responsive regulation of transcription
Minot et al. Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering
Bashour et al. Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
JP2017511688A (ja) クローンに由来する産生株細胞のパネルの相対的な流加産生力価を予測する方法
Bielska et al. Applying computational protein design to therapeutic antibody discovery-current state and perspectives
Rajagopal et al. Deep learning-based design and experimental validation of a medicine-like human antibody library
Angermueller et al. High-throughput ML-guided design of diverse single-domain antibodies against SARS-CoV-2
WO2024155514A1 (en) Deep learning-based codon optimization with large-scale synonymous variant datasets enables generalized tunable protein expression
Holt et al. Contrastive learning enables epitope overlap predictions for targeted antibody discovery
Li et al. Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries
CN118765417A (zh) 设计具有预先指定属性的生物分子序列变体
Ramon et al. AbNatiV: VQ-VAE-based assessment of antibody and nanobody nativeness for hit selection, humanisation, and engineering
Parkinson et al. RESP2: An Uncertainty Aware Multi‐Target Multi‐Property Optimization AI Pipeline for Antibody Discovery
Minot Data efficient machine learning-guided protein engineering
Athènes et al. Paraplume: A fast and accurate antibody paratope prediction method provides insights into repertoire-scale binding dynamics

Legal Events

Date Code Title Description
A00 Application filed

Free format text: ST27 STATUS EVENT CODE: A-0-1-A10-A00-A101 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: APPLICATION RECEIVED - PCT

Effective date: 20240705

A00 Application filed

Free format text: ST27 STATUS EVENT CODE: A-1-1-A10-A00-A102 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: COMPLIANCE REQUIREMENTS DETERMINED MET

Effective date: 20241118

A15 Pct application entered into the national or regional phase

Free format text: ST27 STATUS EVENT CODE: A-1-1-A10-A15-X000 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: NATIONAL ENTRY REQUIREMENTS DETERMINED COMPLIANT

Effective date: 20241118

P18 Priority claim added or amended

Free format text: ST27 STATUS EVENT CODE: A-1-1-P10-P18-P105 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: PRIORITY CLAIM REQUIREMENTS DETERMINED COMPLIANT

Effective date: 20241118

W00 Other event occurred

Free format text: ST27 STATUS EVENT CODE: A-1-1-W10-W00-W100 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: LETTER SENT

Effective date: 20241121

MFA Maintenance fee for application paid

Free format text: FEE DESCRIPTION TEXT: MF (APPLICATION, 2ND ANNIV.) - STANDARD

Year of fee payment: 2

U00 Fee paid

Free format text: ST27 STATUS EVENT CODE: A-1-1-U10-U00-U101 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE REQUEST RECEIVED

Effective date: 20241211

U11 Full renewal or maintenance fee paid

Free format text: ST27 STATUS EVENT CODE: A-1-1-U10-U11-U102 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE FEE PAYMENT PAID IN FULL

Effective date: 20241211

MFA Maintenance fee for application paid

Free format text: FEE DESCRIPTION TEXT: MF (APPLICATION, 3RD ANNIV.) - STANDARD

Year of fee payment: 3

U00 Fee paid

Free format text: ST27 STATUS EVENT CODE: A-1-1-U10-U00-U101 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE REQUEST RECEIVED

Effective date: 20251209

U11 Full renewal or maintenance fee paid

Free format text: ST27 STATUS EVENT CODE: A-1-1-U10-U11-U102 (AS PROVIDED BY THE NATIONAL OFFICE); EVENT TEXT: MAINTENANCE FEE PAYMENT PAID IN FULL

Effective date: 20251209