Context-specific interaction networks from vector representation of words. - Matteo Manica; Roland Mathis; Joris Cadow; María Rodríguez Martínez (Nat. Mach. Intell., 2019)

PaccMannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. - Jannis Born; Matteo Manica; Ali Oskooei; Joris Cadow; María Rodríguez Martínez (RECOMB, 2020)

PaccMannRL on SARS-CoV-2: Designing antiviral candidates with conditional generative models. - Jannis Born; Matteo Manica; Joris Cadow; Greta Markert; Nil Adell Mill; Modestas Filipavicius; María Rodríguez Martínez (CoRR, 2020)

Pre-training Protein Language Models with Label-Agnostic Binding Pairs Enhances Performance in Downstream Tasks. - Modestas Filipavicius; Matteo Manica; Joris Cadow; María Rodríguez Martínez (CoRR, 2020)

PaccMann: a web service for interpretable anticancer compound sensitivity prediction. - Joris Cadow; Jannis Born; Matteo Manica; Ali Oskooei; María Rodríguez Martínez (Nucleic Acids Res., 2020)

On the feasibility of deep learning applications using raw mass spectrometry data. - Joris Cadow; Matteo Manica; Roland Mathis; Tiannan Guo; Ruedi Aebersold; María Rodríguez Martínez (Bioinform., 2021)

Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2. - Jannis Born; Matteo Manica; Joris Cadow; Greta Markert; Nil Adell Mill; Modestas Filipavicius; Nikita Janakarajan; Antonio Cardinale; Teodoro Laino; María Rodríguez Martínez (Mach. Learn. Sci. Technol., 2021)

GT4SD: Generative Toolkit for Scientific Discovery. - Matteo Manica; Joris Cadow; Dimitrios Christofidellis; Ashish Dave; Jannis Born; Dean Clarke; Yves Gaetan Nana Teukam; Samuel C. Hoffman; Matthew Buchan; Vijil Chenthamarakshan; Timothy Donovan; Hsiang-Han Hsu; et al. (CoRR, 2022)