ArticleHuman mutation2014
Elucidating common structural features of human pathogenic variations using large-scale atomic-resolution protein networks.
Article in Human mutation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Sliding Window Interaction Grammar (SWING): a generalized interaction language model for peptide and protein interactions.Nature methods · 2025Article
- Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.Nature communications · 2020Article
- SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation.Bioinformatics (Oxford, England) · 2019Article
- The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies.Human genetics · 2017Review
- iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations.Genome biology · 2017Article
- Three-Dimensional Model of Human Nicotinamide Nucleotide Transhydrogenase (NNT) and Sequence-Structure Analysis of its Disease-Causing Variations.Human mutation · 2016Article
- 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
- Comprehensive assessment of cancer missense mutation clustering in protein structures.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- The Contribution of Missense Mutations in Core and Rim Residues of Protein-Protein Interfaces to Human Disease.Journal of molecular biology · 2015Article
- ENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancers.BMC genomics · 2015Article
- A massively parallel pipeline to clone DNA variants and examine molecular phenotypes of human disease mutations.PLoS genetics · 2014Article
- Getting to the edge: protein dynamical networks as a new frontier in plant-microbe interactions.Frontiers in plant science · 2014Review
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Authors and funding
11 authors.
Funding
Abstract
With the rapid growth of structural genomics, numerous protein crystal structures have become available. However, the parallel increase in knowledge of the functional principles underlying biological processes, and more specifically the underlying molecular mechanisms of disease, has been less dramatic. This notwithstanding, the study of complex cellular networks has made possible the inference of protein functions on a large scale. Here, we combine the scale of network systems biology with the resolution of traditional structural biology to generate a large-scale atomic-resolution interactome-network comprising 3,398 interactions between 2,890 proteins with a well-defined interaction interface and interface residues for each interaction. Within the framework of this atomic-resolution network, we have explored the structural principles underlying variations causing human-inherited disease. We find that in-frame pathogenic variations are enriched at both the interface and in the interacting domain, suggesting that variations not only at interface "hot-spots," but in the entire interacting domain can result in alterations of interactions. Further, the sites of pathogenic variations are closely related to the biophysical strength of the interactions they perturb. Finally, we show that biochemical alterations consequent to these variations are considerably more disruptive than evolutionary changes, with the most significant alterations at the protein interaction interface.
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