Exploring T cell receptor repertoires in myocardial diseases
Mounting experimental and clinical evidence has revealed that adaptive immune
mechanisms targeting myocardial antigens are triggered by different forms of cardiac injury …
mechanisms targeting myocardial antigens are triggered by different forms of cardiac injury …
Predicting adaptive immune receptor specificities by machine learning is a data generation problem
Determining the specificity of adaptive immune receptors—B cell receptors (BCRs), their
secreted form antibodies, and T cell receptors (TCRs)—is critical for understanding immune …
secreted form antibodies, and T cell receptors (TCRs)—is critical for understanding immune …
Benchmarking and integrating human B-cell receptor genomic and antibody proteomic profiling
K Lê Quý, M Chernigovskaya, M Stensland… - NPJ Systems Biology …, 2024 - nature.com
Immunoglobulins (Ig), which exist either as B-cell receptors (BCR) on the surface of B cells
or as antibodies when secreted, play a key role in the recognition and response to antigenic …
or as antibodies when secreted, play a key role in the recognition and response to antigenic …
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Designing effective monoclonal antibody (mAb) therapeutics faces a multi-parameter
optimization challenge known as “developability”, which reflects an antibody's ability to …
optimization challenge known as “developability”, which reflects an antibody's ability to …
The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository in the AIRR Data Commons: a practical guide for access, use and contributions through the …
Human molecular genetics has brought incredible insights into the variants that confer risk
for the development of tissue-specific autoimmune diseases, including type 1 diabetes. The …
for the development of tissue-specific autoimmune diseases, including type 1 diabetes. The …
nf-core/airrflow: An adaptive immune receptor repertoire analysis workflow employing the Immcantation framework
G Gabernet, S Marquez, R Bjornson… - PLOS Computational …, 2024 - journals.plos.org
Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) is a valuable experimental
tool to study the immune state in health and following immune challenges such as infectious …
tool to study the immune state in health and following immune challenges such as infectious …
Linguistics-based formalization of the antibody language as a basis for antibody language models
Apparent parallels between natural language and antibody sequences have led to a surge
in deep language models applied to antibody sequences for predicting cognate antigen …
in deep language models applied to antibody sequences for predicting cognate antigen …
Computational estimation of clonal diversity in autoimmunity
ZK Tuong, R van der Merwe… - Immunology and Cell …, 2024 - Wiley Online Library
Diversity is the cornerstone of the adaptive immune system, crucial for its effectiveness
against constantly evolving pathogens that pose threats to higher vertebrates. Accurately …
against constantly evolving pathogens that pose threats to higher vertebrates. Accurately …
Reading the repertoire: Progress in adaptive immune receptor analysis using machine learning
The adaptive immune system holds invaluable information on past and present immune
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …
responses in the form of B and T cell receptor sequences, but we are limited in our ability to …
[HTML][HTML] Best practices for machine learning in antibody discovery and development
In the past 40 years, therapeutic antibody discovery and development have advanced
considerably, with machine learning (ML) offering a promising way to speed up the process …
considerably, with machine learning (ML) offering a promising way to speed up the process …