ReviewMolecular bioSystems2014
Exploring mechanisms of human disease through structurally resolved protein interactome networks.
Review in Molecular bioSystems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Precision Medicine Through Network Language: Integrating Clinical Insight and Data Expertise.Genes · 2026Review
- Disease-specific interactome alterations via epichaperomics: the case for Alzheimer's disease.The FEBS journal · 2022Review
- A rice protein interaction network reveals high centrality nodes and candidate pathogen effector targets.Computational and structural biotechnology journal · 2022Article
- Towards a unified open access dataset of molecular interactions.Nature communications · 2020Review
- Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations.Nature communications · 2019Article
- Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019Review
- Network biology discovers pathogen contact points in host protein-protein interactomes.Nature communications · 2018Article
- Global temporal dynamic landscape of pathogen-mediated subversion of Arabidopsis innate immunity.Scientific reports · 2017Article
- Functional variomics and network perturbation: connecting genotype to phenotype in cancer.Nature reviews. Genetics · 2017Review
- mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.Human mutation · 2016Article
- Regularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.BMC bioinformatics · 2016Article
- Structure-PPi: a module for the annotation of cancer-related single-nucleotide variants at protein-protein interfaces.Bioinformatics (Oxford, England) · 2015Article
- Template-based prediction of protein function.Current opinion in structural biology · 2015Review
- ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers.BMC genomics · 2015Article
- Quo vadis computational analysis of PPI data or why the future isn't here yet.Frontiers in genetics · 2015Article
- How do oncoprotein mutations rewire protein-protein interaction networks?Expert review of proteomics · 2015Review
- A massively parallel pipeline to clone DNA variants and examine molecular phenotypes of human disease mutations.PLoS genetics · 2014Article
- TBC1D24 mutation causes autosomal-dominant nonsyndromic hearing loss.Human mutation · 2014Article
- Getting to the edge: protein dynamical networks as a new frontier in plant-microbe interactions.Frontiers in plant science · 2014Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The study of the molecular basis of human disease has gained increasing attention over the past decade. With significant improvements in sequencing efficiency and throughput, a wealth of genotypic data has become available. However the translation of this information into concrete advances in diagnostic and clinical setups has proved far more challenging. Two major reasons for this are the lack of functional annotation for genomic variants and the complex nature of genotype-to-phenotype relationships. One fundamental approach to bypass these issues is to examine the effects of genetic variation at the level of proteins as they are directly involved in carrying out biological functions. Within the cell, proteins function by interacting with other proteins as a part of an underlying interactome network. This network can be determined using interactome mapping - a combination of high-throughput experimental toolkits and curation from small-scale studies. Integrating structural information from co-crystals with the network allows generation of a structurally resolved network. Within the context of this network, the structural principles of disease mutations can be examined and used to generate reliable mechanistic hypotheses regarding disease pathogenesis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.