| Computational modeling of the immune response in multiple sclerosis using epimod framework | 1 | 0.39 | 2020 |
| In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform | 3 | 0.48 | 2020 |
| POSITION PAPER: Credibility of In Silico Trial Technologies - A Theoretical Framing. | 1 | 0.39 | 2020 |
| Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB | 1 | 0.39 | 2020 |
| Generation of digital patients for the simulation of tuberculosis with UISS-TB | 1 | 0.39 | 2020 |
| A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets | 0 | 0.34 | 2019 |
| EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation. | 0 | 0.34 | 2019 |
| Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS). | 2 | 0.48 | 2019 |
| Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells. | 0 | 0.34 | 2019 |
| Parallelisation strategies for agent based simulation of immune systems. | 0 | 0.34 | 2019 |
| In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models. | 0 | 0.34 | 2019 |
| Multiple Sclerosis disease: a computational approach for investigating its drug interactions | 0 | 0.34 | 2019 |
| Efficient And Settings-Free Calibration Of Detailed Kinetic Metabolic Models With Enzyme Isoforms Characterization | 0 | 0.34 | 2018 |
| Bioesonet: A Tool For The Generation Of Personalized Human Metabolic Pathways From 23andme Exome Data | 0 | 0.34 | 2018 |
| Combining Parallel Genetic Algorithms and Machine Learning to Improve the Research of Optimal Vaccination Protocols | 0 | 0.34 | 2018 |
| GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis. | 0 | 0.34 | 2018 |
| An Agent Based Modeling Approach For The Analysis Of Tuberculosis - Immune System Dynamics | 0 | 0.34 | 2018 |
| Parallel Pair-Wise Interaction For Multi-Agent Immune Systems Modelling | 0 | 0.34 | 2018 |
| Agent Based Modeling Of Relapsing Multiple Sclerosis: A Possible Approach To Predict Treatment Outcome | 0 | 0.34 | 2018 |
| Estimating Daclizumab Effects In Multiple Sclerosis Using Stochastic Symmetric Nets | 1 | 0.38 | 2018 |
| Continuous Petri Nets and microRNA analysis in melanoma. | 1 | 0.36 | 2018 |
| Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus. | 2 | 0.43 | 2017 |
| 2dis: A Sbml Compliant Web Platform For The Design And Modeling Of Immune System Interactions | 0 | 0.34 | 2017 |
| Modeling Pi3k/Pdk1/Akt And Mapk Signaling Pathways Using Continuous Petri Nets | 0 | 0.34 | 2017 |
| A Mathematical Model To Study Breast Cancer Growth | 0 | 0.34 | 2017 |
| Optimization And Analisys Of Vaccination Schedules Using Simulated Annealing And Agent Based Models | 0 | 0.34 | 2017 |
| Introducing Scale Factor Adjustments On Agent-Based Simulations Of The Immune System | 0 | 0.34 | 2017 |
| SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problems. | 7 | 0.47 | 2016 |
| A methodological approach for using high-level Petri Nets to model the immune system response. | 2 | 0.36 | 2016 |
| Relapsing-remitting multiple scleroris and the role of vitamin D: an agent based model | 2 | 0.46 | 2014 |
| Induction of T-cell memory by a dendritic cell vaccine: a computational model. | 5 | 1.18 | 2014 |
| OntoFast: Construct Ontology Rapidly. | 0 | 0.34 | 2014 |
| iAtheroSim: atherosclerosis process simulator on smart devices | 0 | 0.34 | 2013 |
| Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis. | 12 | 0.72 | 2013 |
| A mathematical model of immune-system-melanoma competition. | 1 | 0.37 | 2012 |
| Mathematical modeling of the immune system recognition to mammary carcinoma antigen. | 7 | 0.46 | 2012 |
| Predicting long-term vaccine efficacy against metastases using agents | 0 | 0.34 | 2011 |
| GRIDUISS - a grid based universal immune system simulator framework | 0 | 0.34 | 2010 |
| Cancer Immunoprevention: What Can We Learn from in Silico Models? | 0 | 0.34 | 2010 |
| Universal immune system simulator framework (UISS) | 1 | 0.39 | 2010 |
| Modeling the competition between lung metastases and the immune system using agents. | 20 | 1.07 | 2010 |
| Simulated Annealing and Optimal Protocols | 1 | 0.37 | 2009 |
| Agent based modeling of atherosclerosis: a concrete help in personalized treatments | 3 | 0.68 | 2009 |
| The immunogrid simulator: how to use it | 0 | 0.34 | 2009 |
| ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. | 14 | 1.59 | 2009 |
| Agent Based Modeling of Lung Metastasis-Immune System Competition | 10 | 1.16 | 2009 |
| HAMFAST: Fast Hamming Distance Computation | 0 | 0.34 | 2009 |
| Optimal vaccination schedules using simulated annealing. | 11 | 0.94 | 2008 |
| A Genetic Algorithm for Shortest Path Motion Problem in Three Dimensions | 0 | 0.34 | 2007 |
| Towards a Personalized Schedule with Triplex Vaccine | 0 | 0.34 | 2007 |
