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A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets., , , , , and . Briefings Bioinform., (2022)In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models., , , , and . CIBB, volume 12313 of Lecture Notes in Computer Science, page 285-298. Springer, (2019)Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome., , , , , , , and . BIBM, page 1380-1385. IEEE Computer Society, (2018)A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant., , , , , and . BIBM, page 3303-3307. IEEE, (2021)A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates., , , , , and . BIBM, page 2157-2162. IEEE, (2019)2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions., , , , and . ICIC (2), volume 10362 of Lecture Notes in Computer Science, page 145-154. Springer, (2017)A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets., , , , , , and . PDP, page 323-328. IEEE, (2019)Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB., , , , , , , , , and 1 other author(s). BMC Bioinform., 21-S (17): 458 (2020)Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets., , , , and . BIBM, page 1275-1280. IEEE, (2020)Evaluation of word embedding models to extract and predict surgical data in breast cancer., , , , , , , and . BMC Bioinform., 22-S (14): 631 (2021)