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Proteome-wide prediction of protein-protein interactions from high-throughput data

期刊

PROTEIN & CELL
卷 3, 期 7, 页码 508-520

出版社

OXFORD UNIV PRESS
DOI: 10.1007/s13238-012-2945-1

关键词

proteomics; protein-protein interaction; prediction; systems biology

资金

  1. National Natural Science Foundation of China [31100949, 91029301, 61134013, 61072149]
  2. Chief Scientist Program of Shanghai Institutes for Biological Sciences (SIBS)
  3. Chinese Academy of Sciences (CAS) [2009CSP002]
  4. Knowledge Innovation Program of SIBS of CAS [2011KIP203]
  5. Shanghai National Science Foundation [11ZR1443100]
  6. SA-SIBS Scholarship Program
  7. National Center for Mathematics and Interdisciplinary Sciences of CAS
  8. Shanghai Pujiang Program
  9. FIRST program from JSPS initiated by CSTP

向作者/读者索取更多资源

In this paper, we present a brief review of the existing computational methods for predicting proteome-wide protein-protein interaction networks from high-throughput data. The availability of various types of omics data provides great opportunity and also unprecedented challenge to infer the interactome in cells. Reconstructing the interactome or interaction network is a crucial step for studying the functional relationship among proteins and the involved biological processes. The protein interaction network will provide valuable resources and alternatives to decipher the mechanisms of these functionally interacting elements as well as the running system of cellular operations. In this paper, we describe the main steps of predicting protein-protein interaction networks and categorize the available approaches to couple the physical and functional linkages. The future topics and the analyses beyond prediction are also discussed and concluded.

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