作者
Bharat Mishra, Nilesh Kumar, M Shahid Mukhtar
发表日期
2022/1/1
期刊
Computational and Structural Biotechnology Journal
卷号
20
页码范围
2001-2012
出版商
Elsevier
简介
Network science identifies key players in diverse biological systems including host-pathogen interactions. We demonstrated a scale-free network property for a comprehensive rice protein–protein interactome (RicePPInets) that exhibits nodes with increased centrality indices. While weighted k-shell decomposition was shown efficacious to predict pathogen effector targets in Arabidopsis, we improved its computational code for a broader implementation on large-scale networks including RicePPInets. We determined that nodes residing within the internal layers of RicePPInets are poised to be the most influential, central, and effective information spreaders. To identify central players and modules through network topology analyses, we integrated RicePPInets and co-expression networks representing susceptible and resistant responses to strains of the bacterial pathogens Xanthomonas oryzae pv. oryzae and X …
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B Mishra, N Kumar, MS Mukhtar - Computational and Structural Biotechnology Journal, 2022