Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis
about
Prediction of Protein-Protein Interactions by Evidence Combining MethodsLarge-scale extraction of gene interactions from full-text literature using DeepDiveThe 2014 Nucleic Acids Research Database Issue and an updated NAR online Molecular Biology Database Collection.A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.Using structural knowledge in the protein data bank to inform the search for potential host-microbe protein interactions in sequence space: application to Mycobacterium tuberculosis.Across-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks.Text Mining for Protein DockingGenome-scale identification and characterization of moonlighting proteins.Merging and scoring molecular interactions utilising existing community standards: tools, use-cases and a case study.Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifsComparative study of the effectiveness and limitations of current methods for detecting sequence coevolutionExploring novel mechanistic insights in Alzheimer's disease by assessing reliability of protein interactions.How can functional annotations be derived from profiles of phenotypic annotations?HAPPI-2: a Comprehensive and High-quality Map of Human Annotated and Predicted Protein Interactions.HVint: A Strategy for Identifying Novel Protein-Protein Interactions in Herpes Simplex Virus Type 1Protein-Protein Interactions in Virus-Host Systems.Strength of functional signature correlates with effect size in autism.Global profiling of protein complexes: current approaches and their perspective in biomedical research.Challenges in structural approaches to cell modeling.Rigid-Docking Approaches to Explore Protein-Protein Interaction Space.Strategies to improve usability and preserve accuracy in biological sequence databases.Using neighborhood cohesiveness to infer interactions between protein domains.The OncoPPi network of cancer-focused protein-protein interactions to inform biological insights and therapeutic strategiesPTMcode v2: a resource for functional associations of post-translational modifications within and between proteins.The UCSC Genome Browser database: 2018 update.Building protein-protein interaction networks for Leishmania species through protein structural information.Natural language processing in text mining for structural modeling of protein complexes.
P2860
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P2860
Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Negatome 2.0: a database of no ...... and protein structure analysis
@ast
Negatome 2.0: a database of no ...... and protein structure analysis
@en
type
label
Negatome 2.0: a database of no ...... and protein structure analysis
@ast
Negatome 2.0: a database of no ...... and protein structure analysis
@en
prefLabel
Negatome 2.0: a database of no ...... and protein structure analysis
@ast
Negatome 2.0: a database of no ...... and protein structure analysis
@en
P2093
P2860
P356
P1476
Negatome 2.0: a database of no ...... and protein structure analysis
@en
P2093
Andreas Ruepp
Benedikt Wachinger
Dmitrij Frishman
Florian Goebels
Goar Frishman
Pawel Smialowski
Philipp Blohm
P2860
P304
P356
10.1093/NAR/GKT1079
P407
P433
Database issue
P577
2013-11-08T00:00:00Z