Publications

Mirko Torrisi, Saeid Asadollahi, Antonio de la Vega de Leon, Kai Wang, Wilbert Copeland (2023). Do chemical language models provide a better compound representation?. NeurIPS2023 New Frontiers of AI for Drug Discovery and Development.

Mirko Torrisi, Antonio de la Vega de Leon, Guillermo Climent, Remco Loos, Alejandro Panjkovich (2022). Improving the assessment of deep learning models in the context of drug-target interaction prediction. ICLR2022 Machine Learning for Drug Discovery.

Gregor Urban, Mirko Torrisi, Christophe N. Magnan, Gianluca Pollastri, Pierre Baldi (2020). Protein profiles: Biases and protocols. Computational and Structural Biotechnology Journal.

Mirko Torrisi, Gianluca Pollastri (2020). Brewery: Deep Learning and deeper profiles for the prediction of 1D protein structure annotations. Bioinformatics.

Mirko Torrisi, Gianluca Pollastri, Quan Le (2020). Deep learning methods in protein structure prediction. Computational and Structural Biotechnology Journal.

Manaz Kaleel, Mirko Torrisi, Catherine Mooney, Gianluca Pollastri (2019). PaleAle 5.0: prediction of protein relative solvent accessibility by deep learning. Amino Acids.

Mirko Torrisi, Manaz Kaleel, Gianluca Pollastri (2019). Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction. Scientific Reports.

Mirko Torrisi, Gianluca Pollastri (2019). Protein Structure Annotations. Essentials of Bioinformatics, Volume I: Understanding Bioinformatics: Genes to Proteins.

Mirko Torrisi, Manaz Kaleel, Gianluca Pollastri (2018). Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes. bioRxiv.