High-throughput sequencing (HTS) of immune repertoires has enabled the quantitative
analysis of adaptive immune responses and offers the potential to revolutionize research in …

The adaptive immune system recognizes antigens via an immense array of antigen-binding
antibodies and T-cell receptors, the immune repertoire. The interrogation of immune …

… For example, Miho and colleagues found that these layers are correlated, suggesting that …
By calculating networks of millions of clones, Miho and colleagues showed that the practice of …

… The accession number for the antibody repertoire sequencing data reported in this paper
is ArrayExpress: E-MTAB-5349. The accession number for the FACS data reported in this …

… (e) Comparison of training and generated sequences for paratope-epitope recognition.
Absolut! was used to compute the affinity and paratope fold/epitope of the training data (see …

… (E) For each of the four most highly shared (across structures) interaction motifs (Figures S4…
number of sequences mapping to each motif (E) and calculated the correlation either among …

The identification and application of biomarkers in the clinical and medical fields has an
enormous impact on society. The increase of digital devices and the rise in popularity of health-…

… e jk is the joint probability distribution of the remaining degrees of the two vertices at either
end of a randomly chosen edge, symmetric in its indices on an undirected graph e jk = e kj …

… Subsequently, we obtained the Shannon evenness E α = 1 by normalizing D α = 1 by the
respective total number of V, N1, D, N2, or J regions or combinations thereof (n) in the given …

Abstract Machine learning (ML) is a key technology for accurate prediction of antibody–antigen
binding. Two orthogonal problems hinder the application of ML to antibody-specificity …