计算机科学
生物信息学
过程(计算)
软件
工作(物理)
数据科学
数据挖掘
生化工程
化学
工程类
生物化学
机械工程
基因
操作系统
程序设计语言
作者
Gaurav Tiwari,Anuja Shukla,Anju Singh,Ruchı Tıwarı
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2024-08-01
卷期号:20 (4): 325-340
被引量:2
标识
DOI:10.2174/1573409919666230228104901
摘要
Computer-based modelling and simulation are developing as effective tools for supplementing biological data processing and interpretation. It helps to accelerate the creation of dosage forms at a lower cost and with the less human effort required to conduct the work. This paper aims to provide a comprehensive description of the different computer simulation models for various drugs along with their outcomes. The data used are taken from different sources, including review papers from Science Direct, Elsevier, NCBI, and Web of Science from 1995-2020. Keywords like - pharmacokinetic, pharmacodynamics, computer simulation, whole-cell model, and cell simulation, were used for the search process. The use of computer simulation helps speed up the creation of new dosage forms at a lower cost and less human effort required to complete the work. It is also widely used as a technique for researching the structure and dynamics of lipids and proteins found in membranes. It also facilitates both the diagnosis and prevention of illness. Conventional data analysis methods cannot assess and comprehend the huge amount, size, and complexity of data collected by in vitro, in vivo, and ex vivo experiments. As a result, numerous in silico computational e-resources, databases, and simulation software are employed to determine pharmacokinetic (PK) and pharmacodynamic (PD) parameters for illness management. These techniques aid in the provision of multiscale representations of biological processes, beginning with proteins and genes and progressing through cells, isolated tissues and organs, and the whole organism.
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