Valentina Di Salvatore

According to our database, Valentina Di Salvatore authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza.

Giulia Russo, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Filippo Stanco, Francesco Pappalardo

BMC Bioinform., December, 2023

Machine Learning techniques application to predict the quality of life degree in breast cancer patients.

Valentina Di Salvatore, Giuseppe Catanuto, Giulia Russo, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective.

Avisa Maleki, Alvaro Ras-Carmona, Elena Crispino, Valentina Di Salvatore, Giulia Russo, Pedro A. Reche, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator.

Elena Crispino, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo, Avisa Maleki, Valentina Di Salvatore

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices.

Francesco Pappalardo, John Wilkinson, Francois Busquet, Antoine Bril, Mark Palmer, Kenneth B. Walker, Cristina Curreli, Giulia Russo, Thierry Marchal, Elena Toschi, Rossana Alessandrello, Vincenzo Costignola, Ingrid Klingmann, Martina Contin, Bernard Staumont, Matthias Woiczinski, Christian Kaddick, Valentina Di Salvatore, Alessandra Aldieri, Liesbet Geris, Marco Viceconti

IEEE J. Biomed. Health Informatics, 2022

A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets.

Giulia Russo, Valentina Di Salvatore, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Pedro A. Reche, Francesco Pappalardo

Briefings Bioinform., 2022

Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator.

Nandu Chandran Nair, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern.

Avisa Maleki, Alvaro Ras-Carmona, Valentina Di Salvatore, Giulia Russo, Elena Crispino, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19.

Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Valentina Di Salvatore, Giulia Russo, Francesco Pappalardo

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant.

Valentina Di Salvatore, Avisa Maleki, Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Modeling, simulation and prediction of protein structures for the design of oncolytic viruses.

Valentina Di Salvatore, Daniela Formica, Giulia Russo, Viviana Giannino, Francesco Pappalardo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation.

Saverio Candido, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Valentina Di Salvatore, Massimo Libra, Francesco Pappalardo

BMC Bioinform., 2019

Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression.

Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019