Network modeling helps to tackle the complexity of drug-disease systems.

IF 4.6 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Maurizio Recanatini, Luca Menestrina
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引用次数: 0

Abstract

From the (patho)physiological point of view, diseases can be considered as emergent properties of living systems stemming from the complexity of these systems. Complex systems display some typical features, including the presence of emergent behavior and the organization in successive hierarchic levels. Drug treatments increase this complexity scenario, and from some years the use of network models has been introduced to describe drug-disease systems and to make predictions about them with regard to several aspects related to drug discovery. Here, we review some recent examples thereof with the aim to illustrate how network science tools can be very effective in addressing both tasks. We will examine the use of bipartite networks that lead to the important concept of "disease module", as well as the introduction of more articulated models, like multi-scale and multiplex networks, able to describe disease systems at increasing levels of organization. Examples of predictive models will then be discussed, considering both those that exploit approaches purely based on graph theory and those that integrate machine learning methods. A short account of both kinds of methodological applications will be provided. Finally, the point will be made on the present situation of modeling complex drug-disease systems highlighting some open issues. This article is categorized under: Neurological Diseases > Computational Models Infectious Diseases > Computational Models Cardiovascular Diseases > Computational Models.

网络建模有助于解决药物-疾病系统的复杂性。
从(病理)生理学的角度来看,疾病可以被认为是源于这些系统复杂性的生命系统的紧急特性。复杂系统表现出一些典型的特征,包括紧急行为的存在和连续层次的组织。药物治疗增加了这种复杂性,从几年来,网络模型的使用已经被引入来描述药物-疾病系统,并在与药物发现相关的几个方面对它们进行预测。在这里,我们回顾一些最近的例子,目的是说明网络科学工具如何能够非常有效地解决这两个任务。我们将研究导致“疾病模块”这一重要概念的双部网络的使用,以及引入更多铰接式模型,如多尺度和多路网络,能够在越来越高的组织水平上描述疾病系统。然后将讨论预测模型的示例,考虑那些利用纯粹基于图论的方法和那些集成机器学习方法的方法。本文将简要介绍这两种方法的应用。最后,本文将重点介绍复杂药物-疾病系统建模的现状,并强调一些有待解决的问题。本文分类如下:神经系统疾病>计算模型传染病>计算模型心血管疾病>计算模型。
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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来源期刊
WIREs Mechanisms of Disease
WIREs Mechanisms of Disease MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
11.40
自引率
0.00%
发文量
45
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