Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners - sprookjes - yvandenbroek - TriplyDB

Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

http://www.wikidata.org/entity/Q29029166

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iRefIndex: a consolidated protein interaction database with provenance Protein-protein interactions essentials: key concepts to building and analyzing interactome networks Global functional atlas of Escherichia coli encompassing previously uncharacterized proteins A comparison of computational methods for identifying virulence factors Detecting mutually exclusive interactions in protein-protein interaction maps Computational and informatics strategies for identification of specific protein interaction partners in affinity purification mass spectrometry experiments Evolutionary Modeling of Genotype-Phenotype Associations, and Application to Primate Coding and Non-coding mtDNA Rate Variation What we can learn about Escherichia coli through application of Gene Ontology DASMI: exchanging, annotating and assessing molecular interaction data Structure-based prediction of protein–protein interactions on a genome-wide scale Structural bioinformatics of the interactome.Identification of semaphorin 5A interacting protein by applying apriori knowledge and peptide complementarity related to protein evolution and structure.Bioinformatics Based Approaches to Study Virus-Host Interactions During Chikungunya Virus Infection.Protein interface conservation across structure space Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis.Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest Exploiting amino acid composition for predicting protein-protein interactions Protein interaction network of Arabidopsis thaliana female gametophyte development identifies novel proteins and relations The development of a universal in silico predictor of protein-protein interactions.Deciphering protein-protein interactions. Part I. Experimental techniques and databases.Interrogating domain-domain interactions with parsimony based approaches.Interspecies data mining to predict novel ING-protein interactions in human.The rough guide to in silico function prediction, or how to use sequence and structure information to predict protein function.SpaK/SpaR two-component system characterized by a structure-driven domain-fusion method and in vitro phosphorylation studies.Predicting protein-protein interactions in Arabidopsis thaliana through integration of orthology, gene ontology and co-expression Phylogeny-guided interaction mapping in seven eukaryotes.Dealing with missing values in large-scale studies: microarray data imputation and beyond.Predicting the protein-protein interactions using primary structures with predicted protein surface.Large-scale prediction of protein-protein interactions from structures.Predicting protein-protein interactions in unbalanced data using the primary structure of proteins Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information.PCPPI: a comprehensive database for the prediction of Penicillium-crop protein-protein interactions.Comprehensive, atomic-level characterization of structurally characterized protein-protein interactions: the PICCOLO database Bayesian inference for genomic data integration reduces misclassification rate in predicting protein-protein interactions.Selection of organisms for the co-evolution-based study of protein interactions.Protein-protein interaction map is a key gateway into liver regeneration.Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins SPPS: a sequence-based method for predicting probability of protein-protein interaction partners Homology inference of protein-protein interactions via conserved binding sites.Simulated evolution of protein-protein interaction networks with realistic topology.

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Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners

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Operons in Escherichia coli: genomic analyses and predictions

An exosome-like complex in Sulfolobus solfataricus.

MPact: the MIPS protein interaction resource on yeast.

Prediction of the archaeal exosome and its connections with the proteasome and the translation and transcription machineries by a comparative-genomic approach

The use of gene clusters to infer functional coupling

Evolutionary cores of domain co-occurrence networks

Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach

Prolinks: a database of protein functional linkages derived from coevolution

Predicting co-complexed protein pairs using genomic and proteomic data integration

Predicting functional gene links from phylogenetic-statistical analyses of whole genomes

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computational biology

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