期刊论文

Dai, Dao-Qing

英文

BMC Genomics

1471-2164

2015

16

1

1-14

10.1186/s12864-015-1944-z

National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61402190, 11171354, 61375033]; Ministry of Education of ChinaMinistry of Education, China [20120171110016]; Natural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of Guangdong Province [S2013020012796]; International Program Fund of 985 Project, Sun Yat-sen University; Program of Introducing Talents of Discipline to UniversitiesMinistry of Education, China - 111 Project [07042]; NSF IIPNational Science Foundation (NSF) [1160960, 1332024]; self-determined research funds of CCNU from the colleges' basic research and operation of MOE [CCNU15A05039]

本校为第一机构

Background: The identification of protein-protein interactions contributes greatly to the understanding of functional organization within cells. With the development of affinity purification-mass spectrometry (AP-MS) techniques, several computational scoring methods have been proposed to detect protein interactions from AP-MS data. However, most of the current methods focus on the detection of co-complex interactions and do not discriminate between direct physical interactions and indirect interactions. Consequently, less is known about the pre...