ArticleMolecular systems biology2018
A resource of variant effect predictions of single nucleotide variants in model organisms.
Article in Molecular systems biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
56 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- CATVariant: a web server for integrated protein variant interpretation across sequence, structure, population, and clinical evidence.Nucleic acids research · 2026Article
- Predicting natural variation in the yeast phenotypic landscape with machine learning.Molecular systems biology · 2025Article
- Guidelines for releasing a variant effect predictor.Genome biology · 2025Article
- Exploring adaptation routes to cold temperatures in the Saccharomyces genus.PLoS genetics · 2025Article
- Large Language Model (LLM)-Based Advances in Prediction of Post-translational Modification Sites in Proteins.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Gain- and loss-of-function alleles within signaling pathways lead to phenotypic diversity among individuals.iScience · 2024Article
- The fitness cost of spurious phosphorylation.The EMBO journal · 2024Article
- Review
- ProtVar: mapping and contextualizing human missense variation.Nucleic acids research · 2024Article
- BRCA1, BRCA2, and TP53 germline and somatic variants and clinicopathological characteristics of Brazilian patients with epithelial ovarian cancer.Cancer medicine · 2024Article
- PanEffect: a pan-genome visualization tool for variant effects in maize.Bioinformatics (Oxford, England) · 2024Article
- Saturation genome editing of DDX3X clarifies pathogenicity of germline and somatic variation.Nature communications · 2023Article
- The regulatory landscape of the yeast phosphoproteome.Nature structural & molecular biology · 2023Article
- The fitness cost of spurious phosphorylation.bioRxiv : the preprint server for biology · 2023Article
- Cross-feeding affects the target of resistance evolution to an antifungal drug.PLoS genetics · 2023Article
- Discovering functionally important sites in proteins.Nature communications · 2023Article
- High-throughput deep learning variant effect prediction with Sequence UNET.Genome biology · 2023Article
- Rare variant aggregation in 148,508 exomes identifies genes associated with proxy dementia.Scientific reports · 2023Article
- Article
Corrections and comments
- Commented on by
Authors and funding
6 authors.
Funding
Abstract
The effect of single nucleotide variants (SNVs) in coding and noncoding regions is of great interest in genetics. Although many computational methods aim to elucidate the effects of SNVs on cellular mechanisms, it is not straightforward to comprehensively cover different molecular effects. To address this, we compiled and benchmarked sequence and structure-based variant effect predictors and we computed the impact of nearly all possible amino acid and nucleotide variants in the reference genomes of
Indexed as
Identifiers
What 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.