کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10332832 687802 2014 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparative analysis of asynchronous cellular automata in stochastic pharmaceutical modelling
ترجمه فارسی عنوان
تجزیه و تحلیل تطبیقی ​​اتوماتای ​​سلول آسنکرون در مدل سازی دارویی تصادفی
کلمات کلیدی
سیستم های پیچیده، تحویل دارویی کنترل شده، محاسبات با کارایی بالا، دستگاه های قابل تحمل مدلهای احتمالی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
In pharmaceutical modelling, cellular automata have been used as an established tool to represent molecular changes through discrete structural interactions. The data quality provided by such modelling is found suitable for the early drug design phase where flexibility is paramount. While both synchronous (CA) and asynchronous (ACA) types of automata have been used, analysis of their nature and comparative influence on model outputs is lacking. In this paper, we outline a representative probabilistic CA for modelling complex controlled drug formulations and investigate its transition from synchronous to asynchronous update algorithms. The key investigation points include quantification of model dynamics through three distinct scenarios, parallelisation performance and the ability to describe different release phenomena, namely erosion, diffusion and swelling. The choice of the appropriate update mechanism impacts the perceived realism of the simulation as well as the applicability of large-scale simulations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Science - Volume 5, Issue 5, September 2014, Pages 834-840
نویسندگان
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