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Giuseppe Alessandro Parasiliti Palumbo
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- affiliation: University of Catania, Italy
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2020 – today
- 2022
- [j6]Giulia Russo, Valentina Di Salvatore, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Pedro A. Reche, Francesco Pappalardo:
A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets. Briefings Bioinform. 23(1) (2022) - 2021
- [j5]Avisa Maleki, Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
In silico design of recombinant multi-epitope vaccine against influenza A virus. BMC Bioinform. 22-S(14): 617 (2021) - [j4]Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Francesco Pappalardo:
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models. BMC Bioinform. 22-S(14): 626 (2021) - [c11]Giuseppe Alessandro Parasiliti Palumbo, Avisa Maleki, Serena Anna Italia, Giulia Russo, Francesco Pappalardo:
Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS. BIBM 2021: 3299-3302 - [c10]Valentina Di Salvatore, Avisa Maleki, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant. BIBM 2021: 3303-3307 - [c9]Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Valentina Di Salvatore, Giulia Russo, Francesco Pappalardo:
PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19. BIOMESIP 2021: 361-370 - 2020
- [j3]Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juárez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo:
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB. BMC Bioinform. 21-S(17): 458 (2020) - [c8]Giuseppe Alessandro Parasiliti Palumbo, Giulia Russo, Giuseppe Sgroi, Marco Viceconti, Marzio Pennisi, Cristina Curreli, Francesco Pappalardo:
Verify: a toolbox for deterministic verification of computational models. BIBM 2020: 1262-1267 - [c7]Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo, Giuseppe Alessandro Parasiliti Palumbo:
Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets. BIBM 2020: 1275-1280
2010 – 2019
- 2019
- [j2]Saverio Candido, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Valentina Di Salvatore, Massimo Libra, Francesco Pappalardo:
EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation. BMC Bioinform. 19-S(13): 43-53 (2019) - [j1]Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Angela Bonaccorso, Giuseppe Alessandro Parasiliti Palumbo, Epifanio Fichera, Dipendra Kumar Mitra, Kenneth B. Walker, Pere-Joan Cardona, Merce Amat, Marco Viceconti, Francesco Pappalardo:
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS). BMC Bioinform. 20-S(6): 504 (2019) - [c6]Giuseppe Alessandro Parasiliti Palumbo, Pietro Biondi, Giuseppe Sgroi, Marzio Pennisi, Giulia Russo, Francesco Pappalardo:
A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates. BIBM 2019: 2157-2162 - [c5]Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo:
In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models. CIBB 2019: 285-298 - [c4]Giuseppe Parasiliti, Marzio Pennisi, Pietro Biondi, Giuseppe Sgroi, Giulia Russo, Christian Napoli, Francesco Pappalardo:
A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets. PDP 2019: 323-328 - 2018
- [c3]Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Santo Motta, Davide Maimone, Ferdinando Chiacchio:
Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome. BIBM 2018: 1380-1385 - [c2]Francesco Pappalardo, Giulia Russo, Marzio Pennisi, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Santo Motta, Epifanio Fichera:
An agent based modeling approach for the analysis of tuberculosis - immune system dynamics. BIBM 2018: 1386-1392 - 2017
- [c1]Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Giuseppe Parasiliti, Francesco Pappalardo:
2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions. ICIC (2) 2017: 145-154
Coauthor Index
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last updated on 2024-05-29 20:42 CEST by the dblp team
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