Biomedicina Computazionale
Area di afferenza: Biomedicina Computazionale - Computational Biomedicine
Responsabile: 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
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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.
- Pubblicazioni - ultimi 3 anni
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Montanucci L, Capriotti E, Birolo G, Benevenuta S, Pancotti C, Lal D, Fariselli P. DDGun: an untrained predictor of protein stability changes upon amino acid variants. Nucleic Acids Res. 2022 May 7;50(W1):W222–7. doi: 10.1093/nar/gkac325. Epub ahead of print. PMID: 35524565; PMCID: PMC9252764.
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Capriotti E, Fariselli P. Evaluating the relevance of sequence conservation
in the prediction of pathogenic missense variants. Hum Genet. 2022 Oct;141(10):1649-1658. doi: 10.1007/s00439-021-02419-4. Epub 2022 Jan 31. PMID: 35098354. -
Pancotti C, Benevenuta S, Birolo G, Alberini V, Repetto V, Sanavia T,
Capriotti E, Fariselli P. Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset. Brief Bioinform. 2022 Mar 10;23(2):bbab555. doi: 10.1093/bib/bbab555. PMID: 35021190; PMCID: PMC8921618. -
Pancotti C, Birolo G, Rollo C, Sanavia T, Di Camillo B, Manera U, Chiò A,
Fariselli P. Deep learning methods to predict amyotrophic lateral sclerosis disease progression. Sci Rep. 2022 Aug 12;12(1):13738. doi: 10.1038/s41598-022-17805-9. PMID: 35962027; PMCID: PMC9374680. -
Sanavia T, Birolo G, Montanucci L, Turina P, Capriotti E, Fariselli P.
Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine. Comput Struct Biotechnol J. 2020 Jul 24;18:1968-1979. doi: 10.1016/j.csbj.2020.07.011. PMID:32774791; PMCID: PMC7397395.
- 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)