[PDF] Top 20 Exploring hierarchical and overlapping modular structure in the yeast protein interaction network
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Exploring hierarchical and overlapping modular structure in the yeast protein interaction network
... Conference on Bioinformatics (InCoB2010): Bioinformatics and Immunome Research Volume 6 Supplement 1, 2010: Ninth International Conference on. Bioinformatics (InCoB2010): Immunome Res[r] ... See full document
1
Exploring overlapping functional units with various structure in protein interaction networks.
... test the effectiveness of RSRGM on detecting protein complexes, we compare it to CFinder [11], ClusterOne [16], CMC [13], MCL [5], MCODE [6], MINE [14] and SPICi ...[8]. The simple description ... See full document
11
Predicting and validating protein interactions using network structure.
... using the triangle rate score. We can also consider the converse, using the triangle rate score to validate a stated interaction, with the aim to identify potentially false ...(4,355 ... See full document
11
Predicting protein phenotypes based on protein-protein interaction network.
... of the complexity of phenotype research, we selected the budding yeast Saccharomyces cerevisiae (a well studied model organism [25,26]) as a model ...system. The protein data used here ... See full document
8
On the growth of scientific knowledge: yeast biology as a case study.
... understand the patterns and mechanisms of scientific knowledge growth, but such studies have been hampered by the lack of ideal cases in which the structure of the ... See full document
12
Palmistry.
... Does the book provide computational Halcyon? First, the representations acquired by unsupervised learning are intended to be used for something— such as accomplishing more specifi c learning tasks, for ... See full document
3
Structural and biochemical characterization of human PR70 in isolation and in complex with the scaffolding subunit of protein phosphatase 2A.
... of the PR70 core domain (residues 130–483) used for refinement was obtained by sitting drop vapor diffusion by mixing selenomethionine labeled protein at ...ether and 0.15 M trimethylamine n- oxide. ... See full document
12
Investigating ego modules and pathways in osteosarcoma by integrating the EgoNet algorithm and pathway analysis
... together and participate in similar biological activities, and hence we explored pathways enriched by ego module genes based on the Genelibs ...combined the intersections with ... See full document
7
Exploring the Levinthal limit in protein folding
... Lennard–Jones interaction also because it is that which is mostly correlated with the sec- ondary and tertiary structure of the proteins, with α-helices leading to dark stripes along ... See full document
16
Network compression as a quality measure for protein interaction networks.
... measuring the information content of graphs going back to Rashewsky et al. and Mowshowitz et ...calculate the information content of graphs using Shannon’s entropy formula ...measure the ... See full document
22
A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.
... demonstrate the power of our method, we proceeded to execute our method on multifactorial ...(MIM:104300), and Diabetes Mellitus Type 2 (MIM:125853) were selected for case ...First, the ranks for ... See full document
10
Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment.
... behavior in human beings results from a functional hierarchy of the motor control system, within which reusable motor primitives are flexibly integrated into various sensori-motor sequence ...patterns. ... See full document
18
A network-based gene expression signature informs prognosis and treatment for colorectal cancer patients.
... with the same disease phenotype tend to lie close to each other in a protein-protein interaction network ...oncogenes and tumor suppressors in a ... See full document
13
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network.
... on the shortest paths and we ranked these genes according to their betweenness (Table ...has the largest betweenness of 7, meaning that there are 7 shortest paths going through this ...role in ... See full document
12
IMMUNOLOGICAL STUDY OF SPONGIFORM ENCEPHALOPATHIES
... When protein changes it conformation then the key domains that played a significant role in it might also get altered leading to the loss of that particular function at gene level or might be ... See full document
4
Interface-resolved network of protein-protein interactions.
... [19], and docking algorithms [20–22], to both assign and infer [23] binding ...from the residue level details collected from some structural data [21,23], both the accuracy and coverage ... See full document
14
A predictive model of the oxygen and heme regulatory network in yeast.
... Methods) and used this regulator’s expression state to predict the target’s expression level on the test ...uses the target gene’s identity rather than learning a single model that can be ... See full document
21
Nigeria SMEs P articipation in E lectronic E conomy: Problems and the W ay F orward
... products and services. This could prove to be quite a task for the typical Nigeria firm, with a practically unknown brand name and weak advertising ...Goldstein and O’Connor (2001) state that ... See full document
13
CavBench: a benchmark for protein cavity detection methods
... To the best of our knowledge, despite the aforementioned databases of known protein- ligand binding sites and methods to identify protein cavities (or putative binding sites), there is ... See full document
16
A novel human tectonin protein with multivalent beta-propeller folds interacts with ficolin and binds bacterial LPS.
... Tectonin protein, hitherto classified as being hypothetical. By structure- function analyses, we inferred its function as an immune-related ...counterparts, the hTectonin protein functions via ... See full document
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