Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning. - Marcin J. Skwark; Nicolás López Carranza; Thomas Pierrot; Joe Phillips; Slim Said; Alexandre Laterre; Amine Kerkeni; Ugur Sahin; Karim Beguir (CoRR, 2020)

Early computational detection of potential high-risk SARS-CoV-2 variants. - Karim Beguir; Marcin J. Skwark; Yunguan Fu; Thomas Pierrot; Nicolás López Carranza; Alexandre Laterre; Ibtissem Kadri; Abir Korched; Anna U. Lowegard; Bonny Gaby Lui; Bianca Sänger; Yunpeng Liu; et al. (Comput. Biol. Medicine, 2023)

Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL. - Arturo Fiorellini-Bernardis; Sebastien Boyer; Christoph Brunken; Bakary N'tji Diallo; Karim Beguir; Nicolás López Carranza; Oliver Bent (CoRR, 2024)

InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments. - Kevin Eloff; Konstantinos Kalogeropoulos; Amandla Mabona; Oliver Morell; Rachel Catzel; Esperanza Rivera-de-Torre; Jakob Berg Jespersen; Wesley Williams; Sam P. B. van Beljouw; Marcin J. Skwark; Andreas Hougaard Laustsen; Stan J. J. Brouns; et al. (Nat. Mac. Intell., 2025)