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Identification of the Apoptosis and Autophagy Bi‐functional Proteins
Author(s) -
Wang Peiran,
Zhang Zhichao
Publication year - 2020
Publication title -
molecular informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.481
H-Index - 68
eISSN - 1868-1751
pISSN - 1868-1743
DOI - 10.1002/minf.201900008
Subject(s) - autophagy , computational biology , identification (biology) , apoptosis , microbiology and biotechnology , workflow , programmed cell death , biology , cell , computer science , chemistry , biochemistry , botany , database
Although autophagy and apoptosis, two main kinds of programmed cell death, constitute distinct cellular processes with often opposing outcomes, there have been shown a complex interplay between them in recent years. This interplay is surely critical to the overall fate of the cell. However, a full‐scale identification of those bi‐functional proteins involved in both functions is currently beyond reach by existing databases or traditional biological experiments. And that makes the interplay impossible to be well understood. Here we built a large, comprehensiveness apoptosis and autophagy related PPI (protein‐protein interaction) network and then used topology clustering to undergo a network analysis workflow. Finally, we concluded a list of 151 apoptosis and autophagy bi‐functional proteins from this network. By this way we showed a global view on these bi‐functional proteins about their unique characteristics and provided clues of new functions of some proteins which are not focused in present researches.