Predicting protein-protein interactions using graph invariants and a neural network

scientific article published on 13 April 2011

Predicting protein-protein interactions using graph invariants and a neural network is …
instance of (P31):
scholarly articleQ13442814

External links are
P8978DBLP publication IDjournals/candc/KnisleyK11
P356DOI10.1016/J.COMPBIOLCHEM.2011.03.003
P698PubMed publication ID21555249
P894zbMATH Open document ID1403.92072

P2093author name stringD Knisley
J Knisley
P433issue2
P921main subjectprotein-protein interactionQ896177
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P304page(s)108-113
P577publication date2011-04-13
P1433published inComputational Biology and ChemistryQ2293538
P1476titlePredicting protein-protein interactions using graph invariants and a neural network
P478volume35

Reverse relations

cites work (P2860)
Q39504639Classifying multigraph models of secondary RNA structure using graph-theoretic descriptors
Q35104055Computational prediction of the human-microbial oral interactome
Q58920296Graph-Theoretic Models of Mutations in the Nucleotide Binding Domain 1 of the Cystic Fibrosis Transmembrane Conductance Regulator
Q31043905Partner-aware prediction of interacting residues in protein-protein complexes from sequence data
Q28078131Prediction of Protein-Protein Interactions by Evidence Combining Methods
Q58853523Prediction of human-Bacillus anthracis protein–protein interactions using multi-layer neural network
Q30366991Seeing the results of a mutation with a vertex weighted hierarchical graph.

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