Literature DB >> 24892209

Protein-protein interactions and genetic diseases: The interactome.

Kasper Lage1.   

Abstract

Protein-protein interactions mediate essentially all biological processes. Despite the quality of these data being widely questioned a decade ago, the reproducibility of large-scale protein interaction data is now much improved and there is little question that the latest screens are of high quality. Moreover, common data standards and coordinated curation practices between the databases that collect the interactions have made these valuable data available to a wide group of researchers. Here, I will review how protein-protein interactions are measured, collected and quality controlled. I discuss how the architecture of molecular protein networks has informed disease biology, and how these data are now being computationally integrated with the newest genomic technologies, in particular genome-wide association studies and exome-sequencing projects, to improve our understanding of molecular processes perturbed by genetics in human diseases. This article is part of a Special Issue entitled: From Genome to Function.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Complex human disease; Genetics and proteomics; Protein–protein interaction

Year:  2014        PMID: 24892209      PMCID: PMC4165798          DOI: 10.1016/j.bbadis.2014.05.028

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  103 in total

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Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

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4.  A protein complex network of Drosophila melanogaster.

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  32 in total

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Review 2.  An overview of the neurobiology of suicidal behaviors as one meta-system.

Authors:  M Sokolowski; J Wasserman; D Wasserman
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3.  Electron-deficient p-benzoyl-l-phenylalanine derivatives increase covalent chemical capture yields for protein-protein interactions.

Authors:  Cassandra M Joiner; Meghan E Breen; Anna K Mapp
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4.  A scored human protein-protein interaction network to catalyze genomic interpretation.

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7.  Biomarker identification of hepatocellular carcinoma using a methodical literature mining strategy.

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Review 8.  Cyclotides: Overview and Biotechnological Applications.

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9.  A quantitative, surface plasmon resonance-based approach to evaluating DNA binding by the c-Myc oncoprotein and its disruption by small molecule inhibitors.

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10.  Selection of Protein-Protein Interactions of Desired Affinities with a Bandpass Circuit.

Authors:  Katherine E Brechun; Katja M Arndt; G Andrew Woolley
Journal:  J Mol Biol       Date:  2018-11-15       Impact factor: 5.469

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