文档介绍：Inferring Protein Annotation from Topological
Structural Analysis on Protein work
Dengdi Sun Jin Fan Haifeng Zhao Bin Luo
Key Lab of puting & Signal Processing of Ministry of Education
School puter Science and Technology, Anhui University, Hefei, 230039, P. R. China
E-mail: sundengdi@

Abstract—As more and more high-throughput protein-protein corresponds to a protein, and an edge connects two proteins if
interactions data are collected, a large fraction of newly some experimental putational procedure suggests that
discovered proteins have an unknown functional role. A these proteins interact. Many researchers have explored the
challenge to the munity is to assign these newly idea of “majority rule”, which a protein with some functional
proteins with a biological function that can be verified by annotation are likely to interact with proteins that have the
experiment. On the basis of thorough analysis of existing protein same functional annotation. Based on this idea, several groups
function prediction, we take double direction enumeration were attempted to partition works in functional
bined with the distance constrains to find protein modules [1], however, ignoring the framework properties.
pathway, and propose a new predicting model based on Other researchers have exploited the global topological
topological structural of protein-protein i