Giuseppe Alessandro Parasiliti Palumbo

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 15

Top Topics

Tumor Classification

Multiple Sclerosis

Agent Based Modeling

Top Venues

Briefings Bioinform.

Publications

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)
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)
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)
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)
Avisa Maleki, Giulia Russo, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo
In silico design of recombinant multi-epitope vaccine against influenza A virus. BMC Bioinform. (14) (2021)
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. (14) (2021)
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)
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)
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. (17) (2020)
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. (13) (2019)
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. (6) (2019)
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)
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)
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)
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)