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About:
Protein-protein interactions: analysis and prediction
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Protein-protein interactions: analysis and prediction
Creator
Albrecht, M
Blankenburg, H
Bork, P
Frishman, D
Harrington, E
Hermjakob, H
Jensen, L
Juan, D
Lengauer, T
Pagel, P
Schachter, V
Valencia, A
Source
PMC
abstract
Proteins represent the tools and appliances of the cell — they assemble into larger structural elements, catalyze the biochemical reactions of metabolism, transmit signals, move cargo across membrane boundaries and carry out many other tasks. For most of these functions proteins cannot act in isolation but require close cooperation with other proteins to accomplish their task. Often, this collaborative action implies physical interaction of the proteins involved. Accordingly, experimental detection, in silico prediction and computational analysis of protein-protein interactions (PPI) have attracted great attention in the quest for discovering functional links among proteins and deciphering the complex networks of the cell.
has issue date
2009-10-01
(
xsd:dateTime
)
bibo:doi
10.1007/978-3-211-75123-7_17
has license
no-cc
sha1sum (hex)
c59448fddcda205e74455c456afacf0a7882e1bd
schema:url
https://doi.org/10.1007/978-3-211-75123-7_17
resource representing a document's title
Protein-protein interactions: analysis and prediction
has PubMed Central identifier
PMC7120725
schema:publication
Modern Genome Annotation
resource representing a document's body
covid:c59448fddcda205e74455c456afacf0a7882e1bd#body_text
is
schema:about
of
named entity '6.2'
named entity 'PREDICTION'
named entity 'ANALYSIS'
named entity 'PROTEIN-PROTEIN INTERACTIONS'
named entity 'CHAPTER'
named entity 'protein-protein interactions'
named entity 'protein'
named entity 'molecular mechanisms'
named entity 'XML'
named entity 'phenotypic'
named entity 'protein interaction'
named entity 'MIPS'
named entity 'model organisms'
named entity 'phosphatase'
named entity 'organism'
named entity 'CATH'
named entity 'molecule'
named entity 'XML'
named entity 'gene expression data'
named entity 'InterDom'
named entity '40 million'
named entity 'sequence similarity'
named entity 'public domain'
named entity 'SCOP'
named entity 'interacting proteins'
named entity 'interaction network'
named entity 'interact'
named entity 'protein interaction'
named entity 'SARS coronavirus'
named entity 'biochemical'
named entity 'metabolism'
named entity 'protein interactions'
named entity 'bacterial flagellum'
named entity 'human disease'
named entity 'Hidden Markov Models'
named entity 'protein'
named entity 'protein'
named entity 'Online Mendelian Inheritance in Man'
named entity 'Gene Ontology'
named entity 'interact'
named entity 'protein'
named entity 'experimental methods'
named entity 'S.cerevisiae'
named entity 'plug-ins'
named entity 'organism'
named entity 'mutation analysis'
named entity 'ligands'
named entity 'embl'
named entity 'cyclin'
named entity 'phenotypic'
named entity 'ligands'
named entity 'Monte Carlo sampling'
named entity 'interacting proteins'
named entity 'gene fusion'
named entity 'molecular basis'
named entity 'tree building'
named entity 'RNA processing'
named entity 'microarray'
named entity 'protein'
named entity 'activation domain'
named entity 'genome'
named entity 'small molecule'
named entity 'molecular interaction'
named entity 'degree distribution'
named entity 'Proteomics Standards Initiative'
named entity 'expectation-maximization (EM) algorithm'
named entity 'topological analysis'
named entity 'network topology'
named entity 'Gaasterland'
named entity 'scale-free topology'
named entity 'protein'
named entity 'metabolic process'
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