Maria Chernigovskaya

In silico proof of principle of machine learning-based antibody design at unconstrained scale

Rahmad Akbar, Philippe A. Robert, Cédric R. Weber et al. · mAbs · 2022 · 88 citations · Full text

Engineering, Machine Learning, Artificial Immune System +17

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

Milena Pavlović, Lonneke Scheffer, Keshav Motwani et al. · Nature Machine Intelligence · 2021 · 80 citations · Full text

Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction

Philippe A. Robert, Rahmad Akbar, Robert Frank et al. · Nature Computational Science · 2022 · 54 citations

Artificial Intelligence, Synthetic Antibody–antigen Structures, Machine Learning +12

TCR repertoire diversity in Multiple Sclerosis: High-dimensional bioinformatics analysis of sequences from brain, cerebrospinal fluid and peripheral blood

Roberta Amoriello, Maria Chernigovskaya, Victor Greiff et al. · EBioMedicine · 2021 · 38 citations · Full text

Individualized VDJ recombination predisposes the available Ig sequence space

Andrei Slabodkin, Maria Chernigovskaya, Ivana Mikocziova et al. · Genome Research · 2021 · 35 citations · Full text

Genetics, Immunology, Genetic Epidemiology +18