Proteomics become an important research area of interests in life science after the completion of the human genome project.This scientific is to study the characteristics of proteins at the large-scale data level,and ...Proteomics become an important research area of interests in life science after the completion of the human genome project.This scientific is to study the characteristics of proteins at the large-scale data level,and then gain a holistic and comprehensive understanding of the process of disease occurrence and cell metabolism at the protein level.A key issue in proteomics is how to efficiently analyze the massive amounts of protein data produced by high-throughput technologies.Computational technologies with low-cost and short-cycle are becoming the preferred methods for solving some important problems in post-genome era,such as protein-protein interactions(PPIs).In this review,we focus on computational methods for PPIs detection and show recent advancements in this critical area from multiple aspects.First,we analyze in detail the several challenges for computational methods for predicting PPIs and summarize the available PPIs data sources.Second,we describe the state-of-the-art computational methods recently proposed on this topic.Finally,we discuss some important technologies that can promote the prediction of PPI and the development of computational proteomics.展开更多
基金This work was supported in part by Awardee of the NSFC Excellent Young Scholars Program in 2017,in part by the National Natural Science Foundation of China(Grant Nos.61902342,61722212 and 61572506).
文摘Proteomics become an important research area of interests in life science after the completion of the human genome project.This scientific is to study the characteristics of proteins at the large-scale data level,and then gain a holistic and comprehensive understanding of the process of disease occurrence and cell metabolism at the protein level.A key issue in proteomics is how to efficiently analyze the massive amounts of protein data produced by high-throughput technologies.Computational technologies with low-cost and short-cycle are becoming the preferred methods for solving some important problems in post-genome era,such as protein-protein interactions(PPIs).In this review,we focus on computational methods for PPIs detection and show recent advancements in this critical area from multiple aspects.First,we analyze in detail the several challenges for computational methods for predicting PPIs and summarize the available PPIs data sources.Second,we describe the state-of-the-art computational methods recently proposed on this topic.Finally,we discuss some important technologies that can promote the prediction of PPI and the development of computational proteomics.
