应用MATLAB和混沌原理确定癌症智能给药系统在实验阶段的靶向给药的见解：前瞻性方法

IF 0.4 Q4 PHARMACOLOGY & PHARMACY

Asian Journal of Pharmaceutics Pub Date : 2020-07-22 DOI:10.22377/ajp.v14i03.3680

S. S. Moni

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引用次数: 1

摘要

智能给药系统(SDDS)是癌症治疗的一个里程碑，它利用纳米颗粒给药原理，如与单克隆抗体(mab)的表面连接。SDDS与癌细胞的这种相互作用可以通过MATLAB工具和混沌动态系统行为评估来确定。成功靶向依赖于MAB配体与肿瘤抗原抗原决定因子之间的相互作用。然而，靶向性SDDS受到多种因素的高度影响，如肿瘤抗原周围的空间取向和单克隆抗体的特异性配体。在本研究中，我们重点研究了MATLAB工具和混沌原理在确定SDDS靶向治疗中的意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Insights on the Application of MATLAB and Chaotic Principles to Determine the Targeted Delivery of a Smart Drug Delivery System against Cancer in the Experimental Phase: A Prospective Approach

The smart drug delivery system (SDDS) is a milestone in cancer therapy and uses nanoparticle drug delivery principles such as surface linking with monoclonal antibodies (MABs). This interaction of SDDS with cancer cells can be ascertained by the MATLAB tool and chaotic dynamic system behavioral evaluation. The successful targeting depends on the interaction between the MAB ligand and the antigenic determinants of tumor antigens. However, the target-specific SDDS is highly influenced by various factors such as spatial orientation around the tumor antigens and specific ligands of the MABs. In this study, we focused on the implications of the MATLAB tool and chaotic principles to determine target-specific treatment with SDDS.

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来源期刊

Asian Journal of Pharmaceutics PHARMACOLOGY & PHARMACY-

自引率

0.00%

发文量

期刊介绍： Character of the publications: -Pharmaceutics and Pharmaceutical Technology -Formulation Design and Development -Drug Discovery and Development Interface -Manufacturing Science and Engineering -Pharmacokinetics, Pharmacodynamics, and Drug Metabolism -Clinical Pharmacology, General Medicine and Translational Research -Physical Pharmacy and Biopharmaceutics -Novel Drug delivery system -Biotechnology & Microbiological evaluations -Regulatory Sciences