Computational methods for identifying the critical nodes in biological networks
| Autor: | Quan Zou, Juan Liu, Alfonso Rodríguez-Patón, Xiangxiang Zeng, Xiangrong Liu, Yuan Lin, Zengyan Hong |
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| Rok vydání: | 2019 |
| Předmět: |
0303 health sciences
Genes Essential Computer science media_common.quotation_subject Distributed computing 0206 medical engineering Computational Biology Proteins 02 engineering and technology 03 medical and health sciences Costs and Cost Analysis Key (cryptography) Quality (business) State (computer science) Experimental methods Molecular Biology Algorithms 020602 bioinformatics Biological network 030304 developmental biology Information Systems media_common |
| Zdroj: | Briefings in Bioinformatics. 21:486-497 |
| ISSN: | 1477-4054 1467-5463 |
| DOI: | 10.1093/bib/bbz011 |
| Popis: | A biological network is complex. A group of critical nodes determines the quality and state of such a network. Increasing studies have shown that diseases and biological networks are closely and mutually related and that certain diseases are often caused by errors occurring in certain nodes in biological networks. Thus, studying biological networks and identifying critical nodes can help determine the key targets in treating diseases. The problem is how to find the critical nodes in a network efficiently and with low cost. Existing experimental methods in identifying critical nodes generally require much time, manpower and money. Accordingly, many scientists are attempting to solve this problem by researching efficient and low-cost computing methods. To facilitate calculations, biological networks are often modeled as several common networks. In this review, we classify biological networks according to the network types used by several kinds of common computational methods and introduce the computational methods used by each type of network. |
| Databáze: | OpenAIRE |
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