[PDF] Top 20 Predicting gene ontology annotations of orphan GWAS genes using protein-protein interactions
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Predicting gene ontology annotations of orphan GWAS genes using protein-protein interactions
... and protein synthesis: essential processes in tissues such as liver, adipose and muscle that become resistant to the effects of insulin in Type II ...dependent protein kinase ...predictions protein ... See full document
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Predicting Disease-Related Proteins Based on Clique Backbone in Protein-Protein Interaction Network
... positive interactions may be included in ex-cliques and affect the accuracy of predicting disease ...So, gene ontology (GO) scoring is introduced to de- cide the final predictions of disease ... See full document
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Ontology-based validation and identification of regulatory phenotypes
... for predicting pheno- types from ...phenotype annotations in literature-curated databases, and also to predict phenotypes from a loss of function genotype in a re- verse genetics manner (Gilchrist and ... See full document
10
An integrated web platform on disease associated proteins
... Mammalian Protein-Protein Interaction Database (MIPS) [8] and Human Protein Ref- erence Data (HPRD) [9, ...After protein transla- tion synthesis, PTM is a rather common mechanism that ... See full document
9
Mining disease genes using integrated protein–protein interaction and gene–gene co-regulation information
... 5 genes by comparison with those published in the ...The protein encoded by MCM2 is one of the highly conserved mini- chromosome maintenance proteins (MCM) that are involved in the initiation of eukaryotic ... See full document
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Chromosome contacts in activated T cells identify autoimmune disease candidate genes
... disease-causal genes. a Before prioritising genes, enrichment of GWAS signals in PCHi-C interacting regions should be tested to confirm the tissue and context are relevant to ...the GWAS data ... See full document
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Quantifying Protein Function Specificity in the Gene Ontology
... The methods described above provide a useful toolkit of varied approaches to measuring function specificity using the Gene Ontology. The goal is to develop a metric of specificity that is comparable ... See full document
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Computational Tools for Investigating RNA-Protein Interaction Partners
... RNA-protein interactions is generating a vast amount of new data, which will undoubtedly lead to improved computational methods for analyzing and predicting RNA-protein interfaces and ... See full document
8
Characterization of 1-deoxy-D-xylulose 5-phosphate synthase (DXS) protein in Andrographis paniculata (Burm.f.) Wall. ex. Nees: A in silico appraisal
... ApDXS protein (otherwise called CLA1 protein in Arabidopsis) was shown interactions with proteins such as HDR, DXR, HDS, CDPMEK involved in MEP ...pathway protein HMGS and downstream proteins ... See full document
11
Predicting residue contacts for protein protein interactions by integration of multiple information
... interacting protein do- mains by integrating information about evolutionary couplings andamino acid pairwise contact potentials, as well as domain-domain interaction ... See full document
10
Technical Note 1 Mapping Quantitative Trait Loci onto Chromosome-
... Coordinates and annotations of flax protein coding genes on the most recent release of the 32. chromosome-scale pseudomolecules[r] ... See full document
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The early asthmatic response is associated with glycolysis, calcium binding and mitochondria activity as revealed by proteomic analysis in rats
... cycle using an integration method over flows, volumes and pres- sures and were continuously recorded with software (Shanghai Medical College, Fudan University) for phy- siology ... See full document
11
Identify differential gene expressions in fatty infiltration process in rotator cuff
... key genes and pathway involved in the fatty infiltration of rotator cuff tear still ...expressed genes and signaling pathways involved in rotator cuff tear through bioinfor- matics analysis ...different ... See full document
10
Prediction of High-throughput Protein-Protein Interactions and Calmodulin Binding Using Short Linear Motifs
... In SVM + Polynomial or RBF kernel, the gamma parameter defines how far the influ- ence of a single training example reaches, with low values meaning far and high values meaning close. The gamma parameters can be seen as ... See full document
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Transcriptome analysis of Shank3-overexpressing mice reveals unique molecular changes in the hypothalamus
... and protein in the hypothalamus because there was a report suggesting a lack of Shank3 expression in the hypothalamus ...experiments using primers targeting exon 6–7 of Shank3 (thus detecting Shank3a and ... See full document
5
Nucleotide sequence of the genome of Pf3, an IncP-1 plasmid-specific filamentous bacteriophage of Pseudomonas aeruginosa.
... In the Ff phages and IKe, the ssDNA-binding protein gene gene V and the major coat protein gene gene VIII are separated by two small genes genes VII and IX encoding minor coat proteins w[r] ... See full document
9
Inventory
... bins). Gene body regions are represented by genomic position 101 to ...of gene poly (A) sites (PASs) are represented by genomic position 301 to 400 (5 bp ... See full document
12
Transcriptome profiling of monocytes from XLA patients revealed the innate immune function dysregulation due to the BTK gene expression deficiency
... monocytes using RNeasy mini-kit followed by DNase treatment (QIAGEN, ...measured using NanoDrop 2000 (Thermo Fisher Scientific Inc, USA) and Qubit ...checked using Agilent Bioanalyzer RNA Nano chip ... See full document
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The development of machine learning based software for predicting protein-protein interactions and protein function from protein primary structure
... non-interacting protein pairs, researchers create an artificial negative protein interaction dataset for Saccharomyces cerevisiae by randomly generating protein pairs from this organism (Bock and ... See full document
159
One-class support vector machines for protein-protein interactions prediction
... identifying protein-protein interactions represents a crucial step toward understanding proteins ...computationally predicting protein-protein interactions has gain a lot ... See full document
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