多效性
疾病
生物
药物重新定位
重新调整用途
稳健性(进化)
系统生物学
复杂疾病
计算生物学
数据科学
药品
生物信息学
计算机科学
医学
遗传学
基因
药理学
生态学
表型
病理
作者
Jessica Xin Hu,Cecilia Engel Thomas,Søren Brunak
摘要
The co-occurrence of diseases can inform the underlying network biology of shared and multifunctional genes and pathways. In addition, comorbidities help to elucidate the effects of external exposures, such as diet, lifestyle and patient care. With worldwide health transaction data now often being collected electronically, disease co-occurrences are starting to be quantitatively characterized. Linking network dynamics to the real-life, non-ideal patient in whom diseases co-occur and interact provides a valuable basis for generating hypotheses on molecular disease mechanisms, and provides knowledge that can facilitate drug repurposing and the development of targeted therapeutic strategies.
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