Methodology:· Literature mining and data retrieval of dengue:Literaturemining is the study of that data which is already studied to clarify the topicmore and another words the literature mining is the study of research papers ofthe same topics. · Protein-protein interaction networkconstruction:Thereare several databases having protein-protein interaction network data likestring, bio grid, mint, intact. All the data regarding protein-proteininteraction network data of dengue were found in string database.o Literature studying string o Using Cytoscape: Cytoscape is an open source software project forintegrating biomolecular interaction networks with high-throughput expressiondata and other molecular states into a unified conceptual framework. Althoughapplicable to any system of molecular components and interactions, Cytoscape ismost powerful when used in conjunction with large databases of protein-protein,protein-DNA, and genetic interactions that are increasingly available forhumans and model organisms.
cytoscape (version 3.0) was installed from thatofficial website.o Network construction: prepare file fornetwork construction which was downloaded from string database.extract file andsave in exel format then remove allduplicates in exel and upload this file to cytoscape.
select one protein assource node and aone as target node.the network was constructed.o · Functional enrichment analysis ofprotein-protein interaction:o Bingo:o Cytohubba:BiNGO : The Biological Networks Gene Ontology tool (BiNGO) is anopen-source Java tool to determine which Gene Ontology (GO) terms aresignificantly overrepresented in a set of genes. BiNGO can be used either on alist of genes, pasted as text, or interactively on subgraphs of biologicalnetworks visualized in Cytoscape(22).Cytohubba: Exploreimportant nodes/hubs and fragile motifs in an interactome network by severaltopological algorithms including Degree, and centralities based on shortestpaths, s, Closeness, Radiality, Betweenness, and Stress(http://apps.cytoscape.
org/apps/cytohubba).· Identification of hub protein:Hubproteins are essential protein which perfom functions.100 proteins wereidentified which are highly connectednodes in the network.· Sub network construction of hub protein: Thesub network of hub proteins was constructed in string database. open stringdatabase clicked on search the search window was opened and select multiple protein past names of 100 hub proteins in search andchoose organism name aedes aegypyi clicked on search the sub network wasconstructed. · Clustering:o Kmean algorithm: Apply kmean algorithm onsub network on string database.
o Clicked on clustering then clicked on Kmean algorithm the kmean algorithm wasapplied. Methodology:· Literature mining and data retrieval of dengue:Literaturemining is the study of that data which is already studied to clarify the topicmore and another words the literature mining is the study of research papers ofthe same topics. · Protein-protein interaction networkconstruction:Thereare several databases having protein-protein interaction network data likestring, bio grid, mint, intact. All the data regarding protein-proteininteraction network data of dengue were found in string database.o Literature studying string o Using Cytoscape: Cytoscape is an open source software project forintegrating biomolecular interaction networks with high-throughput expressiondata and other molecular states into a unified conceptual framework.
Althoughapplicable to any system of molecular components and interactions, Cytoscape ismost powerful when used in conjunction with large databases of protein-protein,protein-DNA, and genetic interactions that are increasingly available forhumans and model organisms.cytoscape (version 3.0) was installed from thatofficial website.o Network construction: prepare file fornetwork construction which was downloaded from string database.extract file andsave in exel format then remove allduplicates in exel and upload this file to cytoscape.select one protein assource node and aone as target node.
the network was constructed.o · Functional enrichment analysis ofprotein-protein interaction:o Bingo:o Cytohubba:BiNGO : The Biological Networks Gene Ontology tool (BiNGO) is anopen-source Java tool to determine which Gene Ontology (GO) terms aresignificantly overrepresented in a set of genes. BiNGO can be used either on alist of genes, pasted as text, or interactively on subgraphs of biologicalnetworks visualized in Cytoscape(22).
Cytohubba: Exploreimportant nodes/hubs and fragile motifs in an interactome network by severaltopological algorithms including Degree, and centralities based on shortestpaths, s, Closeness, Radiality, Betweenness, and Stress(http://apps.cytoscape.org/apps/cytohubba).· Identification of hub protein:Hubproteins are essential protein which perfom functions.
100 proteins wereidentified which are highly connectednodes in the network.· Sub network construction of hub protein: Thesub network of hub proteins was constructed in string database. open stringdatabase clicked on search the search window was opened and select multiple protein past names of 100 hub proteins in search andchoose organism name aedes aegypyi clicked on search the sub network wasconstructed. · Clustering:o Kmean algorithm: Apply kmean algorithm onsub network on string database.
o Clicked on clustering then clicked on Kmean algorithm the kmean algorithm wasapplied. o MCL algorithm: Apply MCL algorithm on subnetwork in string database.Clicked on clustering then clicked on Kmean algorithmthe kmean algorithm was applied. Methodology:· Literature mining and data retrieval of dengue:Literaturemining is the study of that data which is already studied to clarify the topicmore and another words the literature mining is the study of research papers ofthe same topics.
· Protein-protein interaction networkconstruction:Thereare several databases having protein-protein interaction network data likestring, bio grid, mint, intact. All the data regarding protein-proteininteraction network data of dengue were found in string database.o Literature studying string o Using Cytoscape: Cytoscape is an open source software project forintegrating biomolecular interaction networks with high-throughput expressiondata and other molecular states into a unified conceptual framework. Althoughapplicable to any system of molecular components and interactions, Cytoscape ismost powerful when used in conjunction with large databases of protein-protein,protein-DNA, and genetic interactions that are increasingly available forhumans and model organisms.
cytoscape (version 3.0) was installed from thatofficial website.o Network construction: prepare file fornetwork construction which was downloaded from string database.extract file andsave in exel format then remove allduplicates in exel and upload this file to cytoscape.select one protein assource node and aone as target node.
the network was constructed.o · Functional enrichment analysis ofprotein-protein interaction:o Bingo:o Cytohubba:BiNGO : The Biological Networks Gene Ontology tool (BiNGO) is anopen-source Java tool to determine which Gene Ontology (GO) terms aresignificantly overrepresented in a set of genes. BiNGO can be used either on alist of genes, pasted as text, or interactively on subgraphs of biologicalnetworks visualized in Cytoscape(22).Cytohubba: Exploreimportant nodes/hubs and fragile motifs in an interactome network by severaltopological algorithms including Degree, and centralities based on shortestpaths, s, Closeness, Radiality, Betweenness, and Stress(http://apps.
cytoscape.org/apps/cytohubba).· Identification of hub protein:Hubproteins are essential protein which perfom functions.100 proteins wereidentified which are highly connectednodes in the network.· Sub network construction of hub protein: Thesub network of hub proteins was constructed in string database.
open stringdatabase clicked on search the search window was opened and select multiple protein past names of 100 hub proteins in search andchoose organism name aedes aegypyi clicked on search the sub network wasconstructed. · Clustering:o Kmean algorithm: Apply kmean algorithm onsub network on string database.o Clicked on clustering then clicked on Kmean algorithm the kmean algorithm wasapplied. o MCL algorithm: Apply MCL algorithm on subnetwork in string database.Clicked on clustering then clicked on Kmean algorithmthe kmean algorithm was applied. Methodology:· Literature mining and data retrieval of dengue:Literaturemining is the study of that data which is already studied to clarify the topicmore and another words the literature mining is the study of research papers ofthe same topics.
· Protein-protein interaction networkconstruction:Thereare several databases having protein-protein interaction network data likestring, bio grid, mint, intact. All the data regarding protein-proteininteraction network data of dengue were found in string database.o Literature studying string o Using Cytoscape: Cytoscape is an open source software project forintegrating biomolecular interaction networks with high-throughput expressiondata and other molecular states into a unified conceptual framework. Althoughapplicable to any system of molecular components and interactions, Cytoscape ismost powerful when used in conjunction with large databases of protein-protein,protein-DNA, and genetic interactions that are increasingly available forhumans and model organisms.cytoscape (version 3.
0) was installed from thatofficial website.o Network construction: prepare file fornetwork construction which was downloaded from string database.extract file andsave in exel format then remove allduplicates in exel and upload this file to cytoscape.select one protein assource node and aone as target node.the network was constructed.o · Functional enrichment analysis ofprotein-protein interaction:o Bingo:o Cytohubba:BiNGO : The Biological Networks Gene Ontology tool (BiNGO) is anopen-source Java tool to determine which Gene Ontology (GO) terms aresignificantly overrepresented in a set of genes. BiNGO can be used either on alist of genes, pasted as text, or interactively on subgraphs of biologicalnetworks visualized in Cytoscape(22).
Cytohubba: Exploreimportant nodes/hubs and fragile motifs in an interactome network by severaltopological algorithms including Degree, and centralities based on shortestpaths, s, Closeness, Radiality, Betweenness, and Stress(http://apps.cytoscape.org/apps/cytohubba).· Identification of hub protein:Hubproteins are essential protein which perfom functions.100 proteins wereidentified which are highly connectednodes in the network.· Sub network construction of hub protein: Thesub network of hub proteins was constructed in string database. open stringdatabase clicked on search the search window was opened and select multiple protein past names of 100 hub proteins in search andchoose organism name aedes aegypyi clicked on search the sub network wasconstructed.
· Clustering:o Kmean algorithm: Apply kmean algorithm onsub network on string database.o Clicked on clustering then clicked on Kmean algorithm the kmean algorithm wasapplied. o MCL algorithm: Apply MCL algorithm on subnetwork in string database.Clicked on clustering then clicked on Kmean algorithmthe kmean algorithm was applied.vvvo MCL algorithm: Apply MCL algorithm on subnetwork in string database.Clicked on clustering then clicked on Kmean algorithmthe kmean algorithm was applied.