Computer aided analysis of disease linked protein networks

Abstract

Proteins can interact in various ways, ranging from direct physical relationships to indirect interactions in a formation of protein-protein interaction network. Diagnosis of the protein connections is critical to identify various cellular pathways. Today constructing and analyzing the protein interaction network is being developed as a powerful approach to create network pharmacology toward detecting unknown genes and proteins associated with diseases. Discovery drug targets regarding therapeutic decisions are exciting outcomes of studying disease networks. Protein connections may be identified by experimental and recent new computational approaches. Due to difficulties in analyzing in-vivo proteins interactions, many researchers have encouraged improving computational methods to design protein interaction network. In this review, the experimental and computational approaches and also advantages and disadvantages of these methods regarding the identification of new interactions in a molecular mechanism have been reviewed. Systematic analysis of complex biological systems including network pharmacology and disease network has also been discussed in this review.

The Protein Phosphorylation Landscape of Mouse Spermatids during Spermiogenesis

“…Our study first identified phosphorylation at Thr401 in Nectin2, and phosphorylation at Ser529 in Nectin3, which were also validated by synthetic phosphopeptides (Figure S4F,G, Supporting Information). CREBBP is also a protein involved in cell–cell adhesion, and is important in azoospermia . We found that Crebbp can be phosphorylated at Ser1077 and Ser2064, which were validated by synthetic phosphopeptides (Figure S4H,I, Supporting Information), thus providing novel insights into the phosphoregulation of cell–cell adhesion in spermatid formation.…”