Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:3.4.25.1 (proteasome)
 28,817 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Psoriasis is well known as a chronic inflammatory dermatosis. The disease affects persons of all ages and is a burden worldwide. Psoriasis is associated with various diseases such as arthritis. The disease is characterized by well-demarcated lesions on the skin of the elbows and knees. Various genetic and environmental factors are related to the pathogenesis of psoriasis. In order to identify enzymes that are potential therapeutic targets for psoriasis, we utilized a computational approach, combining microarray analysis and protein interaction prediction. We found 6,437 genes (3,264 upregulated and 3,173 downregulated) that have significant differences in expression between regions with and without lesions in psoriasis patients. We identified potential candidates through protein-protein interaction predictions made using various protein interaction resources. By analyzing the hub protein of the networks with metrics such as degree and centrality, we detected 32 potential therapeutic candidates. After filtering these candidates through the ENZYME nomenclature database, we selected 5 enzymes: DNA helicase (RUVBL2), proteasome endopeptidase complex (PSMA2), nonspecific protein-tyrosine kinase (ZAP70), I-kappa-B kinase (IKBKE), and receptor protein-tyrosine kinase (EGFR). We adopted a computational approach to detect potential therapeutic targets; this approach may become an effective strategy for the discovery of new drug targets for psoriasis.
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PMID:Computational approach to identify enzymes that are potential therapeutic candidates for psoriasis. 2182 80

Cowpea (Vigna unguiculata L. Walp) is an important legume species well adapted to low fertility soils and prolonged drought periods. One of the main problems that cause severe yield losses in cowpea is the root-knot nematode Meloidogyne incognita. The aim of this work was to analyze the differential expression of proteins in the contrasting cultivars of cowpea CE 31 (highly resistant) and CE 109 (slightly resistant) during early stages of M. incognita infection. Cowpea roots were collected at 3, 6, and 9 days after inoculation and used for protein extraction and 2-DE analysis. From a total of 59 differential spots, 37 proteins were identified, mostly involved in plant defense, such as spermidine synthase, patatin, proteasome component, and nitrile-specifier protein. A follow-up study was performed by quantitative RT-PCR analysis of nine selected proteins and the results revealed a very similar upregulation trend between the protein expression profiles and the corresponding transcripts. This study also identified ACT and GAPDH as a good combination of reference genes for quantitative RT-PCR analysis of the pathosystem cowpea/nematode. Additionally, an interactome analysis showed three major pathways affected by nematode infection: proteasome endopeptidase complex, oxidative phosphorylation, and flavonoid biosynthesis. Taken together, the results obtained by proteome, transcriptome, and interactome approaches suggest that oxidative stress, ubiquitination, and glucosinolate degradation may be part of cowpea CE 31 resistance mechanisms in response to nematode infection.
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PMID:Cowpea-Meloidogyne incognita interaction: Root proteomic analysis during early stages of nematode infection. 2573 76