Advancing protein language models with linguistics: a roadmap for improved interpretability. - Mai Ha Vu; Rahmad Akbar; Philippe A. Robert; Bartlomiej Swiatczak; Victor Greiff; Geir Kjetil Sandve; Dag Trygve Truslew Haug (CoRR, 2022)

ImmunoLingo: Linguistics-based formalization of the antibody language. - Mai Ha Vu; Philippe A. Robert; Rahmad Akbar; Bartlomiej Swiatczak; Geir Kjetil Sandve; Dag Trygve Truslew Haug; Victor Greiff (CoRR, 2022)

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. - Philippe A. Robert; Rahmad Akbar; Robert Frank 006; Milena Pavlovic; Michael Widrich; Igor Snapkov; Andrei Slabodkin; Maria Chernigovskaya; Lonneke Scheffer; Eva Smorodina; Puneet Rawat; Brij Bhushan Mehta; et al. (Nat. Comput. Sci., 2022)

Linguistically inspired roadmap for building biologically reliable protein language models. - Mai Ha Vu; Rahmad Akbar; Philippe A. Robert; Bartlomiej Swiatczak; Geir Kjetil Sandve; Victor Greiff; Dag Trygve Truslew Haug (Nat. Mac. Intell., 2023)

Linguistics-based formalization of the antibody language as a basis for antibody language models. - Mai Ha Vu; Philippe A. Robert; Rahmad Akbar; Bartlomiej Swiatczak; Geir Kjetil Sandve; Dag Trygve Truslew Haug; Victor Greiff (Nat. Comput. Sci., 2024)