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Protein–protein interactions: detection, reliability assessment and applications
- Source :
- Briefings in Bioinformatics. :bbw066
- Publication Year :
- 2016
- Publisher :
- Oxford University Press (OUP), 2016.
-
Abstract
- Protein-protein interactions (PPIs) participate in all important biological processes in living organisms, such as catalyzing metabolic reactions, DNA replication, DNA transcription, responding to stimuli and transporting molecules from one location to another. To reveal the function mechanisms in cells, it is important to identify PPIs that take place in the living organism. A large number of PPIs have been discovered by high-throughput experiments and computational methods. However, false-positive PPIs have been introduced too. Therefore, to obtain reliable PPIs, many computational methods have been proposed. Generally, these methods can be classified into two categories. One category includes the methods that are designed to determine new reliable PPIs. The other one is designed to assess the reliability of existing PPIs and filter out the unreliable ones. In this article, we review the two kinds of methods for detecting reliable PPIs, and then focus on evaluating the performance of some of these typical methods. Later on, we also enumerate several PPI network-based applications with taking a reliability assessment of the PPI data into consideration. Finally, we will discuss the challenges for obtaining reliable PPIs and future directions of the construction of reliable PPI networks. Our research will provide readers some guidance for choosing appropriate methods and features for obtaining reliable PPIs.
- Subjects :
- 0301 basic medicine
Disease gene
Computer science
business.industry
Reliability (computer networking)
Computational Biology
Proteins
Reproducibility of Results
Machine learning
computer.software_genre
03 medical and health sciences
030104 developmental biology
Ppi network
Protein Interaction Mapping
Humans
Artificial intelligence
business
Molecular Biology
computer
Information Systems
Subjects
Details
- ISSN :
- 14774054 and 14675463
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....7c825b92cba748702be40dfb52a9b201
- Full Text :
- https://doi.org/10.1093/bib/bbw066