PARASILITI PALUMBO, GIUSEPPE ALESSANDRO
PARASILITI PALUMBO, GIUSEPPE ALESSANDRO
MATEMATICA E INFORMATICA
2DIs: a SBML compliant web platform for the design and modeling of immune system interactions
2017-01-01 Pennisi, M; Russo, G; Sgroi, G; Parasiliti, G; Pappalardo, F
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets
2019-01-01 Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets
2022-01-01 Russo, Giulia; Di Salvatore, Valentina; Sgroi, Giuseppe; Parasiliti Palumbo, Giuseppe Alessandro; Reche, Pedro A; Pappalardo, Francesco
Computational models to predict disease course and treatment response in multiple sclerosis
file da validare2021-01-01 Russo, Giulia; Parasiliti Palumbo, Giuseppe Alessandro; Salvatore, Valentina Di; Maimone, Davide; Pappalardo, Francesco
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation
2019-01-01 Candido, S; PARASILITI PALUMBO, GIUSEPPE ALESSANDRO; Pennisi, M; Russo, G; Sgroi, G; DI SALVATORE, Valentina; Libra, M; Pappalardo, F
In silico design of recombinant multi-epitope vaccine against influenza A virus
2021-01-01 Maleki, A.; Russo, G.; Parasiliti Palumbo, G. A.; Pappalardo, F.
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models
2021-01-01 Russo, Giulia; Parasiliti Palumbo, Giuseppe Alessandro; Pennisi, Marzio; Pappalardo, Francesco
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
2020-01-01 Russo, G.; Sgroi, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Juarez, M. A.; Cardona, P. -J.; Motta, S.; Walker, K. B.; Fichera, E.; Viceconti, M.; Pappalardo, F.
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19
file da validare2021-01-01 Sgroi, G.; Parasiliti Palumbo, G. A.; Di Salvatore, V.; Russo, G.; Pappalardo, F.
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS)
2019-01-01 Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco
The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis
2020-01-01 Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 2DIs: a SBML compliant web platform for the design and modeling of immune system interactions | 1-gen-2017 | Pennisi, M; Russo, G; Sgroi, G; Parasiliti, G; Pappalardo, F | |
| A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets | 1-gen-2019 | Parasiliti, Giuseppe; Pennisi, Marzio; Biondi, Pietro; Sgroi, Giuseppe; Russo, Giulia; Napoli, Christian; Pappalardo, Francesco | |
| A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets | 1-gen-2022 | Russo, Giulia; Di Salvatore, Valentina; Sgroi, Giuseppe; Parasiliti Palumbo, Giuseppe Alessandro; Reche, Pedro A; Pappalardo, Francesco | |
| Computational models to predict disease course and treatment response in multiple sclerosis | 1-gen-2021 | Russo, Giulia; Parasiliti Palumbo, Giuseppe Alessandro; Salvatore, Valentina Di; Maimone, Davide; Pappalardo, Francesco | file da validare |
| EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation | 1-gen-2019 | Candido, S; PARASILITI PALUMBO, GIUSEPPE ALESSANDRO; Pennisi, M; Russo, G; Sgroi, G; DI SALVATORE, Valentina; Libra, M; Pappalardo, F | |
| In silico design of recombinant multi-epitope vaccine against influenza A virus | 1-gen-2021 | Maleki, A.; Russo, G.; Parasiliti Palumbo, G. A.; Pappalardo, F. | |
| Model verification tools: a computational framework for verification assessment of mechanistic agent-based models | 1-gen-2021 | Russo, Giulia; Parasiliti Palumbo, Giuseppe Alessandro; Pennisi, Marzio; Pappalardo, Francesco | |
| Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB | 1-gen-2020 | Russo, G.; Sgroi, G.; Parasiliti Palumbo, G. A.; Pennisi, M.; Juarez, M. A.; Cardona, P. -J.; Motta, S.; Walker, K. B.; Fichera, E.; Viceconti, M.; Pappalardo, F. | |
| PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19 | 1-gen-2021 | Sgroi, G.; Parasiliti Palumbo, G. A.; Di Salvatore, V.; Russo, G.; Pappalardo, F. | file da validare |
| Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS) | 1-gen-2019 | Pennisi, Marzio; Russo, Giulia; Sgroi, Giuseppe; Bonaccorso, Angela; Parasiliti Palumbo, Giuseppe Alessandro; Fichera, Epifanio; Mitra, Dipendra Kumar; Walker, Kenneth B; Cardona, Pere-Joan; Amat, Merce; Viceconti, Marco; Pappalardo, Francesco | |
| The Potential of Computational Modeling to Predict Disease Course and Treatment Response in Patients with Relapsing Multiple Sclerosis | 1-gen-2020 | Pappalardo, Francesco; Russo, Giulia; Pennisi, Marzio; Parasiliti Palumbo, Giuseppe Alessandro; Sgroi, Giuseppe; Motta, Santo; Maimone, Davide |