Towards open-ended evolutionary simulator for developing novel tumour drug delivery systems

Autor:	Igor Balaz, Namid R. Stillman, Tara Petric
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	FOS: Computer and information sciences I.6.3 I.2.1 Computer science Drug delivery food and beverages Computer Science - Multiagent Systems Simulation Multiagent Systems (cs.MA)
Zdroj:	The 2021 Conference on Artificial Life
Popis:	Tumours behave as moving targets that can evade chemotherapeutic treatments by rapidly acquiring resistance via various mechanisms. In Balaz et al. (2021, Biosystems; 199:104290) we initiated the development of the agent-based open-ended evolutionary simulator of novel drug delivery systems (DDS). It is an agent-based simulator where evolvable agents can change their perception of the environment and thus adapt to tumour mutations. Here we mapped the parameters of evolvable agent properties to the realistic biochemical boundaries and test their efficacy by simulating their behaviour at the cell scale using the stochastic simulator, STEPS. We show that the shape of the parameter space evolved in our simulator is comparable to those obtained by the rational design. Accepted extended abstract for the ALIFE2021 conference (July 19-23, 2021)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a2376a9802a9662c4c8cb868f18f1b http://arxiv.org/abs/2105.11760 Zobrazit plný text záznamu