Deciphering the language of antibodies using self-supervised learning J Leem, LS Mitchell, JHR Farmery, J Barton, JD Galson Patterns 3 (7), 2022 | 80 | 2022 |
Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report P Meysman, J Barton, B Bravi, L Cohen-Lavi, V Karnaukhov, E Lilleskov, ... ImmunoInformatics 9, 100024, 2023 | 40 | 2023 |
Mechanistic diversity in MHC class I antigen recognition CRR Barbosa, J Barton, AJ Shepherd, M Mishto Biochemical Journal 478 (24), 4187-4202, 2021 | 13 | 2021 |
Building Representation Learning Models for Antibody Comprehension J Barton, A Gaspariunas, JD Galson, J Leem Cold Spring Harbor Perspectives in Biology 16 (3), a041462, 2024 | 1 | 2024 |
Identification and validation of Triamcinolone and Gallopamil as treatments for early COVID-19 via an in silico repurposing pipeline M MacMahon, W Hwang, S Yim, E MacMahon, A Abraham, J Barton, ... | 1 | 2021 |
Enhancing Antibody Language Models with Structural Information J Barton, JD Galson, J Leem Machine Learning for Structural Biology Workshop, NeurIPS, 2023 | | 2023 |
An in silico drug repurposing pipeline to identify drugs with the potential to inhibit SARS-CoV-2 replication M MacMahon, W Hwang, S Yim, E MacMahon, A Abraham, J Barton, ... Informatics in medicine unlocked 43, 101387, 2023 | | 2023 |
Determining a novel feature-space for SARS-CoV-2 sequence data F Ballesio, AH Bangash, D Barradas Bautista, J Barton, A Guarracino, ... Center for Open Science, 2020 | | 2020 |