ArticleComputational and structural biotechnology journal2015
SNP2Structure: A Public and Versatile Resource for Mapping and Three-Dimensional Modeling of Missense SNPs on Human Protein Structures.
Article in Computational and structural biotechnology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Predicting functional consequences of SNPs on mRNA translation via machine learning.Nucleic acids research · 2023Article
- VIVID: A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses.Molecular biology and evolution · 2022Article
- PSnpBind: a database of mutated binding site protein-ligand complexes constructed using a multithreaded virtual screening workflow.Journal of cheminformatics · 2022Article
- Swiss-PO: a new tool to analyze the impact of mutations on protein three-dimensional structures for precision oncology.NPJ precision oncology · 2021Article
- PhyreRisk: A Dynamic Web Application to Bridge Genomics, Proteomics and 3D Structural Data to Guide Interpretation of Human Genetic Variants.Journal of molecular biology · 2019Article
- Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework.Genome medicine · 2017Review
- GenProBiS: web server for mapping of sequence variants to protein binding sites.Nucleic acids research · 2017Article
- StructMAn: annotation of single-nucleotide polymorphisms in the structural context.Nucleic acids research · 2016Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the long-standing challenges in biology is to understand how non-synonymous single nucleotide polymorphisms (nsSNPs) change protein structure and further affect their function. While it is impractical to solve all the mutated protein structures experimentally, it is quite feasible to model the mutated structures in silico. Toward this goal, we built a publicly available structure database resource (SNP2Structure, https://apps.icbi.georgetown.edu/snp2structure) focusing on missense mutations, msSNP. Compared with web portals with similar aims, SNP2Structure has the following major advantages. First, our portal offers direct comparison of two related 3D structures. Second, the protein models include all interacting molecules in the original PDB structures, so users are able to determine regions of potential interaction changes when a protein mutation occurs. Third, the mutated structures are available to download locally for further structural and functional analysis. Fourth, we used Jsmol package to display the protein structure that has no system compatibility issue. SNP2Structure provides reliable, high quality mapping of nsSNPs to 3D protein structures enabling researchers to explore the likely functional impact of human disease-causing mutations.
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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.