Computational Biomedicine Group
Scientific Area: Biomedicina Computazionale - Computational Biomedicine
PI/Coordinator: Prof. Piero Fariselli
- Prof. Piero Fariselli (Responsabile)
- Dr.ssa Tiziana Sanavia, Ricercatore a Tempo Determinato
- Dr. Giovanni Birolo, Assegnista di Ricerca
- Dr. Corrado Pancotti, Dottorando di Ricerca
- Dr. Cesare Rollo, Dottorando di Ricerca (Genomed4All)
- Dr. Francesco Codicé, Dottorando di Ricerca
- Dr. Flavio Sartori, Dottorando di Ricerca (PNRR)
- Via Santena, 19 Palazzina “Ceppellini” Secondo piano.
- Mail: piero.fariselli@unito.it
- Telefono: +39 011 091 5871
- Prof. Piero Fariselli
- Machine learning applications in Biology and Medicine;
- Development of computational tools for biomolecule feature predictions;
- Computational biological sequence analyses;
- Development of software for Bioinformatic applications
- Modeling of complex systems.
- D Raimondi, A Passemiers, P Fariselli, Y Moreau. Current cancer driver variant predictors learn to recognize driver genes instead of functional variants. BMC biology 19 (1), 1-12, 2021
- S Benevenuta, C Pancotti, P Fariselli, G Birolo, T Sanavia. An antisymmetric neural network to predict free energy changes in protein variants. Journal of Physics D: Applied Physics 54 (24), 245403, 2021
- P Fariselli, C Taccioli, L Pagani, A Maritan. DNA sequence symmetries from randomness: the origin of the Chargaff’s second parity rule. Briefings in bioinformatics 22 (2), 2172-2181, 2021
- G Birolo, S Benevenuta, P Fariselli, E Capriotti, E Giorgio, T Sanavia. Protein stability perturbation contributes to the loss of function in haploinsufficient genes. Frontiers in molecular biosciences 8, 10, 2021
- T Sanavia, G Birolo, L Montanucci, P Turina, E Capriotti, P Fariselli. Limitations and challenges in protein stability prediction upon genome variations: towards future app, lications in precision medicine. Computational and structural biotechnology journal, 18 1968-1979, 2020
- Progetto PRIN 2017- PRIN201744NR8S: (2019-2023) (https://ceprovi.github.io/)
- PNRR (2022-2025): – CN1 "Centro Nazionale di Ricerca HPC, Big data e Quantum Computing" Centro Nazionale SPOKE 8 - IN SILICO MEDICINE & OMICS DATA
- BRAINTEASER (2021-2024): BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis- H2020-SC1-DTH-2020-1 Personalised early risk prediction, prevention and intervention based on Artificial Intelligence and Big Data technologies - 2021-2024
- GenoMed4All (2021-2024): Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases - H2020-SC1-FA-DTS-2020-1. AI for Genomics and Personalised Medicine - 2021-2024
- INTERVENE(2021-2024): . International consortium for integrative genomics prediction, Call H2020-SC1-FA-DTS-2020-1. AI for Genomics and Personalised Medicine H2020-SC1-FA-DTS-2020-1. AI for Genomics and Personalised Medicine - 2021-2024
- Fondazione Cassa di Risparmio di Torino (2022-2023): Deep learning per la
stratificazione e la predizione della progressione della malattia in pazienti con sclerosi laterale
amiotrofica (P.I. Tiziana Sanavia)