人工神经网络在药物传递和药物研究中的应用

Q3 Computer Science Open Bioinformatics Journal Pub Date : 2013-12-13 DOI:10.2174/1875036201307010049
V. Sutariya, A. Groshev, Prabodh Sadana, D. Bhatia, Y. Pathak
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引用次数: 50

摘要

人工神经网络(ANNs)技术对大脑神经网络的模式识别能力进行建模。与大脑中的单个神经元类似,人工神经元单元接收来自许多外部来源的输入,对其进行处理,并做出决定。有趣的是,人工神经网络模拟了生物神经系统,并利用了自适应生物神经元的类似物。人工神经网络不需要严格结构化的实验设计,并且可以使用历史或不完整的数据来映射函数,这使它们成为模拟各种非线性系统的强大工具。人工神经网络在各个领域都有广泛的应用,包括工程、心理学、药物化学和药物研究。由于具有预测、模式识别和建模的能力,人工神经网络在药物研究的许多方面都非常有用,包括脑神经网络建模、分析数据分析、药物建模、蛋白质结构和功能、剂量优化和制造、药代动力学和药效学建模以及体外体内相关性。本文综述了人工神经网络在药物传递和药理研究中的应用。
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Artificial Neural Network in Drug Delivery and Pharmaceutical Research
Artificial neural networks (ANNs) technology models the pattern recognition capabilities of the neural networks of the brain. Similarly to a single neuron in the brain, artificial neuron unit receives inputs from many external sources, processes them, and makes decisions. Interestingly, ANN simulates the biological nervous system and draws on analogues of adaptive biological neurons. ANNs do not require rigidly structured experimental designs and can map functions using historical or incomplete data, which makes them a powerful tool for simulation of various non-linear systems.ANNs have many applications in various fields, including engineering, psychology, medicinal chemistry and pharmaceutical research. Because of their capacity for making predictions, pattern recognition, and modeling, ANNs have been very useful in many aspects of pharmaceutical research including modeling of the brain neural network, analytical data analysis, drug modeling, protein structure and function, dosage optimization and manufacturing, pharmacokinetics and pharmacodynamics modeling, and in vitro in vivo correlations. This review discusses the applications of ANNs in drug delivery and pharmacological research.
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来源期刊
Open Bioinformatics Journal
Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
期刊介绍: The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.
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