细胞上带有蛋白质的单向组织 P 系统。

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS IEEE Transactions on NanoBioscience Pub Date : 2024-03-23 DOI:10.1109/TNB.2024.3404396
Bosheng Song;Chuanlong Hu;Xiangxiang Zeng
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引用次数: 0

摘要

类组织 P 系统的一个变种被称为单向组织 P 系统,即物体在两个区域之间只有一个移动方向。本文在单向组织 P 系统中加入了一种名为蛋白质的特殊物体,它可以控制物体在区域间移动,这种计算模型被命名为细胞上有蛋白质的单向组织 P 系统(PMT P 系统)。我们将讨论 PMT P 系统的计算特性。更详细地说,采用两个细胞、一个蛋白质控制一个规则、每个交会规则最多使用一个对象的 PMT P 系统能够实现图灵普遍性。此外,使用一个蛋白质控制一个规则、每个交会规则中最多使用一个对象的 PMT P 系统可以有效地解决布尔可满足性问题(简称 SAT)。
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Monodirectional Tissue P Systems With Proteins on Cells
A variant of tissue-like P systems is known as monodirectional tissue P systems, where objects only have one direction to move between two regions. In this article, a special kind of objects named proteins are added to monodirectional tissue P systems, which can control objects moving between regions, and such computational models are named as monodirectional tissue P systems with proteins on cells (PMT P systems). We discuss the computational properties of PMT P systems. In more detail, PMT P systems employing two cells, one protein controlling a rule, and at most one object used in each symport rule are capable of achievement of Turing universality. In addition, PMT P systems using one protein controlling a rule, and at most one object used in each symport rule can effectively solve the Boolean satisfiability problem (simply SAT ).
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
期刊最新文献
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