{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mistimm-a-simulation-tool-to-compare","title":"MiStImm: a simulation tool to compare classical nonsef-centered immune models with a novel self-centered model","arxiv_id":"1507.00950","date":"2018-03-31","proceeding":null,"authors":[],"abstract":"Our main purpose is to compare classical nonself-centered, two-signal\ntheoretical models of the adaptive immune system with a novel, self-centered,\none-signal model developed by our research group. Our model hypothesizes that\nthe immune system of a fetus is capable learning the limited set of self\nantigens but unable to prepare itself for the unlimited variety of nonself\nantigens. We have built a computational model that simulates the development of\nthe adaptive immune system. For simplicity, we concentrated on humoral immunity\nand its major components: T cells, B cells, antibodies, interleukins,\nnon-immune self cells, and foreign antigens. Our model is a microscopic one,\nsimilar to the interacting particle models of statistical physics and\nagent-based models in immunology. Furthermore, our model is stochastic: events\nare considered random and modeled by a continuous time, finite state Markov\nprocess, that is, they are controlled by finitely many independent exponential\nclocks.\n  We investigate under what conditions can an immune memory be created that\nresults in a more effective immune response to a repeated infection. The\nsimulations show that our self-centered model is realistic. Moreover, in case\nof a primary adaptive immune reaction, it can destroy infections more\nefficiently than a classical nonself-centered model.\n  Predictions of our theoretical model were clinically supported by\nautoimmune-related adverse events in high-dose immune checkpoint inhibitor\nimmunotherapy trials and also by safe and successful low-dose immune checkpoint\ninhibitor combination treatment of heavily pretreated stage IV cancer patients\nwho had exhausted all conventional treatments.\n  The MiStImm simulation tool and source codes are available at the address\nhttps://github.com/kerepesi/MiStImm.","url_abs":"http://arxiv.org/abs/1507.00950v2","url_pdf":"http://arxiv.org/pdf/1507.00950v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mistimm-a-simulation-tool-to-compare","repo_url":"https://github.com/kerepesi/MiStImm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}