4.8 Article

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Biochemical Research Methods

Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification

Pieter Moris et al.

Summary: The prediction of T-cell receptor (TCR) epitope recognition has advanced in recent years, but evaluating all possible TCR-epitope pairs is still challenging due to sequence diversity and limited training data. This work provides an overview of the current state of this problem, introduces a novel feature representation approach called ImRex, and highlights challenges specific to TCR-epitope data. Results show that appropriate feature engineering methods and rigorous benchmark standards are necessary for creating and validating TCR-epitope predictive models.

BRIEFINGS IN BIOINFORMATICS (2021)

Review Pharmacology & Pharmacy

Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation

Harini Narayanan et al.

Summary: Successful biologics must meet requirements of both activity and physicochemical features, which can be optimized with the help of artificial intelligence and machine learning to reduce development time and costs. Machine learning is currently applied in biologics discovery and development, particularly in areas such as protein engineering, early biophysical screening, and formulation.

TRENDS IN PHARMACOLOGICAL SCIENCES (2021)

Article Multidisciplinary Sciences

DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

John-William Sidhom et al.

Summary: Deep learning algorithms have been used to model complex TCR sequencing data and extract valuable information for both descriptive and predictive purposes. The results demonstrate the flexibility and capacity of deep neural networks in extracting meaningful information from complex immunogenomic data.

NATURE COMMUNICATIONS (2021)

Article Immunology

Machine Learning Analysis of Naive B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls

Or Shemesh et al.

Summary: Celiac disease is a common autoimmune disorder caused by an abnormal immune response to dietary gluten proteins, with high heritability. The interaction between disease-specific antibodies and factors like HLA is likely crucial in pathogenesis, and machine learning classification models can be used for analyzing naive B cell receptor repertoires in CeD patients and healthy controls.

FRONTIERS IN IMMUNOLOGY (2021)

Review Biotechnology & Applied Microbiology

Animal Immunization, in Vitro Display Technologies, and Machine Learning for Antibody Discovery

Andreas H. Laustsen et al.

Summary: The debate on the benefits and drawbacks of antibody discovery through animal immunization versus in vitro selection from nonanimal-derived recombinant repertoires has persisted for years. While some argue that using recombinant display libraries can reduce animal consumption, the number of animals sacrificed during preclinical studies far exceeds those used in immunization campaigns. Therefore, improving quality control before in vivo studies will have a larger impact on animal consumption. Both animal immunization and recombinant repertoires offer unique advantages for discovering fit-for-purpose antibodies. Additionally, machine learning is expected to play a significant role in refining current antibody discovery practices.

TRENDS IN BIOTECHNOLOGY (2021)

Article Cell Biology

A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding

Rahmad Akbar et al.

Summary: The predictability of antibody-antigen binding relies on the specific interaction of amino acids at the paratope-epitope interface. Structural interaction motifs form a shared vocabulary for antibody-epitope interactions. Machine learning enables predictive paratope and epitope engineering through combined structure- and sequence-based learning.

CELL REPORTS (2021)

Article Biochemical Research Methods

Predicting recognition between T cell receptors and epitopes with TCRGP

Emmi Jokinen et al.

Summary: TCRGP is a novel computational method that predicts TCR recognition of specific epitopes with higher accuracy than existing methods. By quantifying epitope-specific TCRs and identifying HBV-epitope specific T cells in hepatocellular carcinoma patients, TCRGP offers a valuable tool for analyzing publicly available TCR data.

PLOS COMPUTATIONAL BIOLOGY (2021)

Article Immunology

The Future of Blood Testing Is the Immunome

Ramy A. Arnaout et al.

Summary: The complex and diverse immunome, which consists of V(D)J-rearranged antibody and T cell receptor genes expressed by B cells and T cells, presents unique opportunities for advancing personalized medicine through a highly multiplexed blood test. The current state of immunome-based diagnostics involves both opportunities and challenges, and there is a call for clinicians, researchers, and others to join efforts to realize the diagnostic potential of the immunome.

FRONTIERS IN IMMUNOLOGY (2021)

Article Engineering, Biomedical

Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning

Derek M. Mason et al.

Summary: The optimization of therapeutic antibodies can be achieved by predicting antigen specificity using deep learning, resulting in the identification of optimized antibody variants. This approach may facilitate antibody engineering and optimization.

NATURE BIOMEDICAL ENGINEERING (2021)

Article Computer Science, Artificial Intelligence

SIMON: Open-Source Knowledge Discovery Platform

Adriana Tomic et al.

Summary: SIMON, a modular open-source software, offers a convenient solution for non-technical and technical researchers to apply over 180 state-of-the-art machine-learning algorithms to high-dimensional biomedical data. Its user-friendly interface, standardized pipelines, and automated machine learning methods help users identify optimal algorithms efficiently.

PATTERNS (2021)

Article Biochemistry & Molecular Biology

VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium

Dmitry Bagaev et al.

NUCLEIC ACIDS RESEARCH (2020)

Review Biochemistry & Molecular Biology

T cell receptor sequence clustering and antigen specificity

Milena Vujovic et al.

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2020)

Article Biochemistry & Molecular Biology

Predicting antigen specificity of single T cells based onTCR CDR3 regions

David S. Fischer et al.

MOLECULAR SYSTEMS BIOLOGY (2020)

Article Multidisciplinary Sciences

Deep learning for genomics using Janggu

Wolfgang Kopp et al.

NATURE COMMUNICATIONS (2020)

Article Cell Biology

De novo prediction of cancer-associated T cell receptors for noninvasive cancer detection

Daria Beshnova et al.

SCIENCE TRANSLATIONAL MEDICINE (2020)

Article Geriatrics & Gerontology

Genetic and environmental determinants of human TCR repertoire diversity

Chirag Krishna et al.

IMMUNITY & AGEING (2020)

Review Multidisciplinary Sciences

Immune Literacy: Reading, Writing, and Editing Adaptive Immunity

Lucia Csepregi et al.

ISCIENCE (2020)

Article Biochemistry & Molecular Biology

Mining adaptive immune receptor repertoires for biological and clinical information using machine learning

Victor Greiff et al.

CURRENT OPINION IN SYSTEMS BIOLOGY (2020)

Article Biochemistry & Molecular Biology

The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data

Jamie K. Scott et al.

CURRENT OPINION IN SYSTEMS BIOLOGY (2020)

Article Biochemistry & Molecular Biology

Human thymic T cell repertoire is imprinted with strong convergence to shared sequences

Nelli Heikkila et al.

MOLECULAR IMMUNOLOGY (2020)

Article Computer Science, Information Systems

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons

Scott Christley et al.

FRONTIERS IN BIG DATA (2020)

Review Immunology

A Review of Deep Learning Methods for Antibodies

Jordan Graves et al.

ANTIBODIES (2020)

Article Biochemical Research Methods

Selene: a PyTorch-based deep learning library for sequence data

Kathleen M. Chen et al.

NATURE METHODS (2019)

Article Biochemical Research Methods

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Siegfried Gessulat et al.

NATURE METHODS (2019)

Review Biotechnology & Applied Microbiology

Applications of machine learning in drug discovery and development

Jessica Vamathevan et al.

NATURE REVIEWS DRUG DISCOVERY (2019)

Review Genetics & Heredity

Deep learning: new computational modelling techniques for genomics

Gokcen Eraslan et al.

NATURE REVIEWS GENETICS (2019)

Article Biology

Deep generative models for T cell receptor protein sequences

Kristian Davidsen et al.

Article Multidisciplinary Sciences

Commonality despite exceptional diversity in the baseline human antibody repertoire

Bryan Briney et al.

NATURE (2019)

Article Biochemistry & Molecular Biology

A guide to deep learning in healthcare

Andre Esteva et al.

NATURE MEDICINE (2019)

Article Biochemistry & Molecular Biology

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

Enis Afgan et al.

NUCLEIC ACIDS RESEARCH (2018)

Article Multidisciplinary Sciences

Sex bias in MHC I-associated shaping of the adaptive immune system

Tilman Schneider-Hohendorf et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Chemistry, Multidisciplinary

MoleculeNet: a benchmark for molecular machine learning

Zhenqin Wu et al.

CHEMICAL SCIENCE (2018)

Article Multidisciplinary Sciences

High-throughput immune repertoire analysis with IGoR

Quentin Marcou et al.

NATURE COMMUNICATIONS (2018)

Article Biotechnology & Applied Microbiology

Deep learning in biomedicine

Michael Wainberg et al.

NATURE BIOTECHNOLOGY (2018)

Article Immunology

AIRR Community Standardized Representations for Annotated Immune Repertoires

Jason Anthony Vander Heiden et al.

FRONTIERS IN IMMUNOLOGY (2018)

Article Multidisciplinary Sciences

Quantifiable predictive features define epitope-specific T cell receptor repertoires

Pradyot Dash et al.

NATURE (2017)

Article Multidisciplinary Sciences

Identifying specificity groups in the T cell receptor repertoire

Jacob Glanville et al.

NATURE (2017)

Letter Biotechnology & Applied Microbiology

Firmiana: towards a one-stop proteomic cloud platform for data processing and analysis

Jinwen Feng et al.

NATURE BIOTECHNOLOGY (2017)

Article Multidisciplinary Sciences

Massively parallel digital transcriptional profiling of single cells

Grace X. Y. Zheng et al.

NATURE COMMUNICATIONS (2017)

Article Immunology

Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data

Felix Breden et al.

FRONTIERS IN IMMUNOLOGY (2017)

Article Biology

How many TCR clonotypes does a body maintain?

Grant Lythe et al.

JOURNAL OF THEORETICAL BIOLOGY (2016)

Editorial Material Genetics & Heredity

FAIR principles for data stewardship

[Anonymous]

NATURE GENETICS (2016)

Article Multidisciplinary Sciences

Causal inference and the data-fusion problem

Elias Bareinboim et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)

Article Cell Biology

What does research reproducibility mean?

Steven N. Goodman et al.

SCIENCE TRANSLATIONAL MEDICINE (2016)

Article Biochemical Research Methods

Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data

Namita T. Gupta et al.

BIOINFORMATICS (2015)

Letter Biochemical Research Methods

MiXCR: software for comprehensive adaptive immunity profiling

Dmitriy A. Bolotin et al.

NATURE METHODS (2015)

Review Genetics & Heredity

Practical guidelines for B-cell receptor repertoire sequencing analysis

Gur Yaari et al.

GENOME MEDICINE (2015)

Article Biochemical Research Methods

pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires

Jason A. Vander Heiden et al.

BIOINFORMATICS (2014)

Review Biotechnology & Applied Microbiology

The promise and challenge of high-throughput sequencing of the antibody repertoire

George Georgiou et al.

NATURE BIOTECHNOLOGY (2014)

Editorial Material Biochemical Research Methods

Software with impact

[Anonymous]

NATURE METHODS (2014)

Article Gastroenterology & Hepatology

Tetramer-visualized gluten-specific CD4+T cells in blood as a potential diagnostic marker for coeliac disease without oral gluten challenge

Asbjorn Christophersen et al.

UNITED EUROPEAN GASTROENTEROLOGY JOURNAL (2014)

Article Microbiology

Convergent Antibody Signatures in Human Dengue

Poornima Parameswaran et al.

CELL HOST & MICROBE (2013)