Predict effective drug combination by deep belief network and ontology fingerprints.

The synergistic effect of drug combination is one of the most desirable properties for treating cancer. However, systematically predicting effective drug combination is a significant challenge. We report here a novel method based on deep belief network to predict drug synergy from gene expression, pathway and the Ontology Fingerprints-a literature derived ontological profile of genes. Using data sets provided by 2015 DREAM competition, our analysis shows that this integrative method outperforms published results from the DREAM website for 4999 drug pairs, demonstrating the feasibility of predicting drug synergy from literature and the -omics data using advanced artificial intelligence approach.

Identification of Functional and Expression Polymorphisms Associated With Risk for Antineutrophil Cytoplasmic Autoantibody-Associated Vasculitis.

OBJECTIVE: To identify risk alleles relevant to the causal and biologic mechanisms of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). METHODS: A genome-wide association study and subsequent replication study were conducted in a total cohort of 1,986 cases of AAV (patients with granulomatosis with polyangiitis [Wegener's] [GPA] or microscopic polyangiitis [MPA]) and 4,723 healthy controls. Meta-analysis of these data sets and functional annotation of identified risk loci were performed, and candidate disease variants with unknown functional effects were investigated for their impact on gene expression and/or protein function. RESULTS: Among the genome-wide significant associations identified, the largest effect on risk of AAV came from the single-nucleotide polymorphism variants rs141530233 and rs1042169 at the HLA-DPB1 locus (odds ratio [OR] 2.99 and OR 2.82, respectively) which, together with a third variant, rs386699872, constitute a triallelic risk haplotype associated with reduced expression of the HLA-DPB1 gene and HLA-DP protein in B cells and monocytes and with increased frequency of complementary proteinase 3 (PR3)-reactive T cells relative to that in carriers of the protective haplotype. Significant associations were also observed at the SERPINA1 and PTPN22 loci, the peak signals arising from functionally relevant missense variants, and at PRTN3, in which the top-scoring variant correlated with increased PRTN3 expression in neutrophils. Effects of individual loci on AAV risk differed between patients with GPA and those with MPA or between patients with PR3-ANCAs and those with myeloperoxidase-ANCAs, but the collective population attributable fraction for these variants was substantive, at 77%. CONCLUSION: This study reveals the association of susceptibility to GPA and MPA with functional gene variants that explain much of the genetic etiology of AAV, could influence and possibly be predictors of the clinical presentation, and appear to alter immune cell proteins and responses likely to be key factors in the pathogenesis of AAV.

Immunomodulatory activity of a chymotrypsin inhibitor from Momordica cochinchinensis seeds.

Serine protease inhibitors are widely distributed in the plant kingdom. Many of them have been purified and characterized from different species. While the physicochemical properties of these protease inhibitors have been extensively investigated, their biological effects, e.g. immunomodulatory effect, remain relatively unexplored. Recently, we isolated a chymotrypsin-specific inhibitor (MCoCI) from the seeds of Momordica cochinchinensis (Lour) Spreng (Family Cucurbitaceae), the traditional Chinese medicine known as Mubiezhi, which has been used as an antiinflammatory agent. In the present study, the effects of MCoCI on different types of cells of the immune system, including splenocytes, splenic lymphocytes, neutrophils, bone marrow cells and macrophages, were investigated. MCoCI was shown to possess immuno-enhancing and antiinflammatory effects. MCoCI could stimulate the proliferation of different cells of the immune system, e.g. splenocytes, splenic lymphocytes and bone marrow cells, in a manner comparable to that of Concanavalin A. Moreover, MCoCI could also suppress the formation of hydrogen peroxide in neutrophils and macrophages. These immunomodulatory effects may explain some of the therapeutic actions of Mubiezhi.