iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding

iR+ partners, Victor Greiff and Andrei Slabodkin of UiO, show that a compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding, in a new paper published at Cell Reports.

Continue Reading iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding

iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires

Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

Continue Reading iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires

iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning

Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

Continue Reading iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning