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Cell Reports|March 17, 2021
A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen bindingRahmad Akbar, Philippe A Robert, Milena Pavlović, et al.Mabs|March 16, 2022
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodiesRahmad Akbar, Habib Bashour, Puneet Rawat, et al.Science Signaling|October 1, 2015
Glutamine-dependent α-ketoglutarate production regulates the balance between T helper 1 cell and regulatory T cell generationDorota Klysz, Xuguang Tai, Philippe A Robert, et al.Genome Research|November 24, 2021
Individualized VDJ recombination predisposes the available Ig sequence spaceAndrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova, et al.Mabs|April 4, 2022
In silico proof of principle of machine learning-based antibody design at unconstrained scaleRahmad Akbar, Philippe A Robert, Cédric R Weber, et al.Science (New York, N.Y.)|January 19, 2023
BTG1 mutation yields supercompetitive B cells primed for malignant transformationCoraline Mlynarczyk, Matt Teater, Juhee Pae, et al.Nature Computational Science|January 4, 2024
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity predictionPhilippe A Robert, Rahmad Akbar, Robert Frank, et al.Nature Machine Intelligence|July 3, 2023
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoiresMilena Pavlović, Lonneke Scheffer, Keshav Motwani, et al.Pageof 16