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Valentina Di Salvatore
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2020 – today
- 2024
- [d1]Francesco Pappalardo, Giulia Russo, Valentina Di Salvatore, Sebastiano Battiato, Francesco Guarnera, Alessia Rondinella:
MSValid Data Collection. Zenodo, 2024 - 2023
- [j4]Giulia Russo, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Filippo Stanco, Francesco Pappalardo:
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza. BMC Bioinform. 24(1): 231 (2023) - [c9]Elena Crispino, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo, Avisa Maleki, Valentina Di Salvatore:
Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator. BIBM 2023: 3697-3701 - [c8]Avisa Maleki, Alvaro Ras-Carmona, Elena Crispino, Valentina Di Salvatore, Giulia Russo, Pedro A. Reche, Francesco Pappalardo:
Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective. BIBM 2023: 3721-3724 - [c7]Valentina Di Salvatore, Giuseppe Catanuto, Giulia Russo, Francesco Pappalardo:
Machine Learning techniques application to predict the quality of life degree in breast cancer patients. BIBM 2023: 3741-3747 - 2022
- [j3]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) - [j2]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:
Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices. IEEE J. Biomed. Health Informatics 26(11): 5282-5286 (2022) - [c6]Avisa Maleki, Alvaro Ras-Carmona, Valentina Di Salvatore, Giulia Russo, Elena Crispino, Francesco Pappalardo:
Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern. BIBM 2022: 3549-3551 - [c5]Nandu Chandran Nair, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo:
Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator. BIBM 2022: 3552-3555 - 2021
- [c4]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 - [c3]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
- [c2]Valentina Di Salvatore, Daniela Formica, Giulia Russo, Viviana Giannino, Francesco Pappalardo:
Modeling, simulation and prediction of protein structures for the design of oncolytic viruses. BIBM 2020: 1268-1274
2010 – 2019
- 2019
- [j1]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) - [c1]Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo:
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. BIBM 2019: 2202-2206 - [i1]Valentina Di Salvatore, Fiorenza Gianì, Giulia Russo, Marzio Pennisi, Pasqualino Malandrino, Francesco Frasca, Francesco Pappalardo:
Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression. CoRR abs/1910.12055 (2019)
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