Journal
FRONTIERS IN GENETICS
Volume 11, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2020.00291
Keywords
protein-protein interaction; network; link prediction; interface complementarity; gene duplication
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Funding
- National Natural Science Foundation of China [31670725]
- Educational Research Projects of Young and Middle-aged Teachers in Fujian Education Department [JAT170336]
- Beijing Advanced Research Center for Structural Biology of Tsinghua University
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Protein-protein interactions are the foundations of cellular life activities. At present, the already known protein-protein interactions only account for a small part of the total. With the development of experimental and computing technology, more and more PPI data are mined, PPI networks are more and more dense. It is possible to predict protein-protein interaction from the perspective of network structure. Although there are many high-throughput experimental methods to detect protein-protein interactions, the cost of experiments is high, time-consuming, and there is a certain error rate meanwhile. Network-based approaches can provide candidates of protein pairs for high-throughput experiments and improve the accuracy rate. This paper presents a new link prediction approach Sim for PPI networks from the perspectives of proteins' complementary interfaces and gene duplication. By integrating our approach Sim with the state-of-art network-based approach L3, the prediction accuracy and robustness are improved.
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