ReviewJournal of molecular modeling2015
Computational approaches to study the effects of small genomic variations.
Review in Journal of molecular modeling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Untapped Potential of Poly(ADP-Ribose) Polymerase Inhibitors: Lessons Learned From the Real-World Clinical Homologous Recombination Repair Mutation Testing.World journal of oncology · 2024Article
- OptiMo-LDLr: An Integrated In Silico Model with Enhanced Predictive Power for LDL Receptor Variants, Unraveling Hot Spot Pathogenic Residues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Exploiting public databases of genomic variation to quantify evolutionary constraint on the branch point sequence in 30 plant and animal species.Nucleic acids research · 2023Article
- In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function.BMC bioinformatics · 2023Article
- In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis.Scientific reports · 2022Article
- Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis.TheScientificWorldJournal · 2021Article
- New variants in Spanish Niemann-Pick type c disease patients.Molecular biology reports · 2020Article
- Electrochemical Detection of Solution Phase Hybridization Related to Single Nucleotide Mutation by Carbon Nanofibers Enriched Electrodes.Materials (Basel, Switzerland) · 2019Article
- Understanding molecular consequences of putative drug resistant mutations in Mycobacterium tuberculosis.Scientific reports · 2018Article
- Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis.BMC medical genomics · 2018Article
- Vermont: a multi-perspective visual interactive platform for mutational analysis.BMC bioinformatics · 2017Article
- The impact of structural genomics: the first quindecennial.Journal of structural and functional genomics · 2016Review
- Article
- Mutation near the binding interfaces at α-hemoglobin stabilizing protein is highly pathogenic.American journal of translational research · 2016Article
- Molecular dynamics approach to identification of new OGG1 cancer-associated somatic variants with impaired activity.The Journal of biological chemistryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advances in DNA sequencing technologies have led to an avalanche-like increase in the number of gene sequences deposited in public databases over the last decade as well as the detection of an enormous number of previously unseen nucleotide variants therein. Given the size and complex nature of the genome-wide sequence variation data, as well as the rate of data generation, experimental characterization of the disease association of each of these variations or their effects on protein structure/function would be costly, laborious, time-consuming, and essentially impossible. Thus, in silico methods to predict the functional effects of sequence variations are constantly being developed. In this review, we summarize the major computational approaches and tools that are aimed at the prediction of the functional effect of mutations, and describe the state-of-the-art databases that can be used to obtain information about mutation significance. We also discuss future directions in this highly competitive field.
Indexed as
Identifiers
26350246What OpenQuestion holds
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.